@@ -109,6 +109,7 @@
  | <a href="#U"><strong>U</strong></a>
  | <a href="#V"><strong>V</strong></a>
  | <a href="#W"><strong>W</strong></a>
+ | <a href="#X"><strong>X</strong></a>
  | <a href="#Y"><strong>Y</strong></a>
  
 </div>
@@ -117,10 +118,22 @@
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.AbstractCollateFunction">AbstractCollateFunction (class in super_gradients.training.datasets.datasets_utils)</a>
 </li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Accuracy">Accuracy (class in super_gradients.training.metrics.classification_metrics)</a>
+      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.AbstractMetricsArgsPrepFn">AbstractMetricsArgsPrepFn (class in super_gradients.training.metrics.segmentation_metrics)</a>
 </li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.accuracy">accuracy() (in module super_gradients.training.metrics.classification_metrics)</a>
+      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.AbstractPrePredictionCallback">AbstractPrePredictionCallback (class in super_gradients.training.datasets.datasets_utils)</a>
 </li>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Accuracy">Accuracy (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Accuracy">[1]</a>
+
+      <ul>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Accuracy">(class in super_gradients.training.metrics.classification_metrics)</a>
+</li>
+      </ul></li>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.accuracy">accuracy() (in module super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.accuracy">[1]</a>
+
+      <ul>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.accuracy">(in module super_gradients.training.metrics.classification_metrics)</a>
+</li>
+      </ul></li>
       <li><a href="super_gradients.training.html#super_gradients.training.utils.adapt_state_dict_to_fit_model_layer_names">adapt_state_dict_to_fit_model_layer_names() (in module super_gradients.training.utils)</a>, <a href="super_gradients.training.utils.html#super_gradients.training.utils.adapt_state_dict_to_fit_model_layer_names">[1]</a>
 
       <ul>
@@ -130,6 +143,8 @@
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.checkpoint_utils.adaptive_load_state_dict">adaptive_load_state_dict() (in module super_gradients.training.utils.checkpoint_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.add_log_to_file">add_log_to_file() (in module super_gradients.training.utils.sg_model_utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.adjust_box_anns">adjust_box_anns() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.common.html#super_gradients.common.ADNNModelRepositoryDataInterfaces">ADNNModelRepositoryDataInterfaces (class in super_gradients.common)</a>
 
@@ -142,45 +157,59 @@
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger.analyze">analyze() (super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger method)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors.anchor_grid">anchor_grid (super_gradients.training.utils.detection_utils.Anchors property)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.AnchorGenerator">AnchorGenerator (class in super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors">Anchors (class in super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors.anchors">anchors (super_gradients.training.utils.detection_utils.Anchors property)</a>
 </li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.ap_per_class">ap_per_class() (in module super_gradients.training.metrics.detection_metrics)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.TrainingStageSwitchCallbackBase.apply_stage_change">apply_stage_change() (super_gradients.training.utils.callbacks.TrainingStageSwitchCallbackBase method)</a>
+
+      <ul>
+        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.YoloXTrainingStageSwitchCallback.apply_stage_change">(super_gradients.training.utils.callbacks.YoloXTrainingStageSwitchCallback method)</a>
+</li>
+      </ul></li>
+      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.COCODetectionDataset.apply_transforms">apply_transforms() (super_gradients.training.datasets.COCODetectionDataset method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.COCODetectionDataset.apply_transforms">[1]</a>
+
+      <ul>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.coco_detection.COCODetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.coco_detection.COCODetectionDataset method)</a>
+</li>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.COCODetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.COCODetectionDataset method)</a>
 </li>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset method)</a>
+</li>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataset.apply_transforms">(super_gradients.training.datasets.detection_datasets.DetectionDataset method)</a>
+</li>
+        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataset.apply_transforms">(super_gradients.training.datasets.DetectionDataset method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataset.apply_transforms">[1]</a>
+</li>
+      </ul></li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="super_gradients.training.legacy.html#super_gradients.training.legacy.utils.PrefetchDataLoader.async_prefech">async_prefech() (super_gradients.training.legacy.utils.PrefetchDataLoader method)</a>
 </li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.AtomicInteger">AtomicInteger (class in super_gradients.training.datasets.datasets_utils)</a>
 </li>
-      <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet.augment_hsv">augment_hsv() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)</a>
+      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.AugmentOp">AugmentOp (class in super_gradients.training.datasets.auto_augment)</a>
+</li>
+      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.MultiGPUMode.AUTO">AUTO (super_gradients.common.data_types.enum.MultiGPUMode attribute)</a>
 
       <ul>
-        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataSet.augment_hsv">(super_gradients.training.datasets.detection_datasets.DetectionDataSet static method)</a>
-</li>
-        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataSet.augment_hsv">(super_gradients.training.datasets.DetectionDataSet static method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataSet.augment_hsv">[1]</a>
+        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.MultiGPUMode.AUTO">(super_gradients.common.data_types.MultiGPUMode attribute)</a>
 </li>
-        <li><a href="super_gradients.training.html#super_gradients.training.DetectionDataSet.augment_hsv">(super_gradients.training.DetectionDataSet static method)</a>
+        <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.AUTO">(super_gradients.common.MultiGPUMode attribute)</a>
 </li>
-      </ul></li>
-      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.AugmentOp">AugmentOp (class in super_gradients.training.datasets.auto_augment)</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.AUTO">(super_gradients.training.MultiGPUMode attribute)</a>
 </li>
-      <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.AUTO">AUTO (super_gradients.training.MultiGPUMode attribute)</a>
-
-      <ul>
         <li><a href="super_gradients.training.html#super_gradients.training.sg_model.MultiGPUMode.AUTO">(super_gradients.training.sg_model.MultiGPUMode attribute)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.MultiGPUMode.AUTO">[1]</a>
-</li>
-        <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.MultiGPUMode.AUTO">(super_gradients.training.sg_model.sg_model.MultiGPUMode attribute)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.auto_contrast">auto_contrast() (in module super_gradients.training.datasets.auto_augment)</a>
 </li>
-      <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig">AutoLoggerConfig (class in super_gradients.common.auto_logging.auto_logger)</a>
+      <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.AutoLoggerConfig">AutoLoggerConfig (class in super_gradients.common.auto_logging)</a>
+
+      <ul>
+        <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig">(class in super_gradients.common.auto_logging.auto_logger)</a>
 </li>
+      </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.AverageMeter.average">average (super_gradients.training.utils.utils.AverageMeter property)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.AverageMeter">AverageMeter (class in super_gradients.training.utils.utils)</a>
@@ -188,6 +217,8 @@
       <li><a href="super_gradients.common.html#super_gradients.common.AWSConnector">AWSConnector (class in super_gradients.common)</a>
 
       <ul>
+        <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.AWSConnector">(class in super_gradients.common.aws_connection)</a>
+</li>
         <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_connector.AWSConnector">(class in super_gradients.common.aws_connection.aws_connector)</a>
 </li>
       </ul></li>
@@ -199,16 +230,6 @@
 <h2 id="B">B</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.backward_step">backward_step() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
-
-      <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.backward_step">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.backward_step">[1]</a>
-</li>
-        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.backward_step">(super_gradients.training.SgModel method)</a>
-</li>
-      </ul></li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.base_detection_collate_fn">base_detection_collate_fn() (in module super_gradients.training.utils.detection_utils)</a>
-</li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.sg_dataset.BaseSgVisionDataset">BaseSgVisionDataset (class in super_gradients.training.datasets.sg_dataset)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.BinarySegmentationVisualizationCallback.batch_idx">batch_idx (super_gradients.training.utils.callbacks.BinarySegmentationVisualizationCallback attribute)</a>
@@ -223,26 +244,28 @@
 </li>
       <li><a href="super_gradients.training.html#super_gradients.training.losses.BCEDiceLoss">BCEDiceLoss (class in super_gradients.training.losses)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.BCEDiceLoss">[1]</a>
 </li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU">BinaryIOU (class in super_gradients.training.metrics.segmentation_metrics)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.best">best (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
 </li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.segmentation_utils.BinarySegmentationVisualization">BinarySegmentationVisualization (class in super_gradients.training.utils.segmentation_utils)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.BinarySegmentationVisualizationCallback">BinarySegmentationVisualizationCallback (class in super_gradients.training.utils.callbacks)</a>
-</li>
-      <li><a href="super_gradients.common.environment.html#super_gradients.common.environment.env_helpers.TerminalColours.BOLD">BOLD (super_gradients.common.environment.env_helpers.TerminalColours attribute)</a>
-</li>
-      <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet.box_candidates">box_candidates() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)</a>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice">BinaryDice (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryDice">[1]</a>
 
       <ul>
-        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataSet.box_candidates">(super_gradients.training.datasets.detection_datasets.DetectionDataSet static method)</a>
-</li>
-        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataSet.box_candidates">(super_gradients.training.datasets.DetectionDataSet static method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataSet.box_candidates">[1]</a>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryDice">(class in super_gradients.training.metrics.segmentation_metrics)</a>
 </li>
-        <li><a href="super_gradients.training.html#super_gradients.training.DetectionDataSet.box_candidates">(super_gradients.training.DetectionDataSet static method)</a>
+      </ul></li>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU">BinaryIOU (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryIOU">[1]</a>
+
+      <ul>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU">(class in super_gradients.training.metrics.segmentation_metrics)</a>
 </li>
       </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.segmentation_utils.BinarySegmentationVisualization">BinarySegmentationVisualization (class in super_gradients.training.utils.segmentation_utils)</a>
+</li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.BinarySegmentationVisualizationCallback">BinarySegmentationVisualizationCallback (class in super_gradients.training.utils.callbacks)</a>
+</li>
+      <li><a href="super_gradients.common.environment.html#super_gradients.common.environment.env_helpers.TerminalColours.BOLD">BOLD (super_gradients.common.environment.env_helpers.TerminalColours attribute)</a>
+</li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.box_iou">box_iou() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.brightness">brightness() (in module super_gradients.training.datasets.auto_augment)</a>
@@ -250,16 +273,18 @@
       <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.build_data_loaders">build_data_loaders() (super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface method)</a>
 
       <ul>
+        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionDatasetInterface.build_data_loaders">(super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionDatasetInterface method)</a>
+</li>
         <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.DatasetInterface.build_data_loaders">(super_gradients.training.datasets.dataset_interfaces.DatasetInterface method)</a>
 </li>
         <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DatasetInterface.build_data_loaders">(super_gradients.training.datasets.DatasetInterface method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DatasetInterface.build_data_loaders">[1]</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.build_detection_targets">build_detection_targets() (in module super_gradients.training.utils.detection_utils)</a>
-</li>
-      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.build_model">build_model() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
+      <li><a href="super_gradients.training.html#super_gradients.training.KDModel.build_model">build_model() (super_gradients.training.KDModel method)</a>
 
       <ul>
+        <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.build_model">(super_gradients.training.sg_model.sg_model.SgModel method)</a>
+</li>
         <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.build_model">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.build_model">[1]</a>
 </li>
         <li><a href="super_gradients.training.html#super_gradients.training.SgModel.build_model">(super_gradients.training.SgModel method)</a>
@@ -267,43 +292,41 @@
       </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.optimizer_utils.build_optimizer">build_optimizer() (in module super_gradients.training.utils.optimizer_utils)</a>
 </li>
-      <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss.build_targets">build_targets() (super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss method)</a>
-
-      <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.losses.YoLoV5DetectionLoss.build_targets">(super_gradients.training.losses.YoLoV5DetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoLoV5DetectionLoss.build_targets">[1]</a>
-</li>
-      </ul></li>
   </ul></td>
 </tr></table>
 
 <h2 id="C">C</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.calc_batch_prediction_accuracy">calc_batch_prediction_accuracy() (in module super_gradients.training.utils.detection_utils)</a>
-</li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.metric_utils.calc_batch_prediction_detection_metrics_per_class">calc_batch_prediction_detection_metrics_per_class() (in module super_gradients.training.metrics.metric_utils)</a>
-</li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.calc_bbox_iou_matrix">calc_bbox_iou_matrix() (in module super_gradients.training.utils.detection_utils)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.calculate_bbox_iou_elementwise">calculate_bbox_iou_elementwise() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.calculate_bbox_iou_matrix">calculate_bbox_iou_matrix() (in module super_gradients.training.utils.detection_utils)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.calculate_wh_iou">calculate_wh_iou() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.CallbackHandler">CallbackHandler (class in super_gradients.training.utils.callbacks)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.CallbackHandler.callbacks">callbacks (super_gradients.training.utils.callbacks.CallbackHandler attribute)</a>
+</li>
+      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.center_sampling_radius">center_sampling_radius (super_gradients.training.losses.YoloXDetectionLoss attribute)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.center_sampling_radius">[1]</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.change_bbox_bounds_for_image_size">change_bbox_bounds_for_image_size() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.check_anchor_order">check_anchor_order() (in module super_gradients.training.utils.detection_utils)</a>
+      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DetectionMultiscalePrePredictionCallback.change_frequency">change_frequency (super_gradients.training.datasets.datasets_utils.DetectionMultiscalePrePredictionCallback attribute)</a>
+
+      <ul>
+        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.MultiscalePrePredictionCallback.change_frequency">(super_gradients.training.datasets.datasets_utils.MultiscalePrePredictionCallback attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.change_from_best">change_from_best (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.change_from_previous">change_from_previous (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
 </li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.check_img_size_divisibilty">check_img_size_divisibilty() (in module super_gradients.training.utils.detection_utils)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.check_img_size_divisibility">check_img_size_divisibility() (in module super_gradients.training.utils.utils)</a>
 </li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.check_key_exists">check_key_exists() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.check_key_exists">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.check_key_exists">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
@@ -323,17 +346,29 @@
         <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.Cifar10DatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation.CityscapesDataset">CityscapesDataset (class in super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation)</a>
+      <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.CityscapesDataset">CityscapesDataset (class in super_gradients.training.datasets.segmentation_datasets)</a>
+
+      <ul>
+        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation.CityscapesDataset">(class in super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation)</a>
 </li>
+      </ul></li>
       <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CityscapesDatasetInterface">CityscapesDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DeciLabUploadCallback.ckpt_name">ckpt_name (super_gradients.training.utils.callbacks.DeciLabUploadCallback attribute)</a>
+</li>
+      <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.SuperviselyPersonsDataset.CLASS_LABELS">CLASS_LABELS (super_gradients.training.datasets.segmentation_datasets.SuperviselyPersonsDataset attribute)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DetectionVisualizationCallback.classes">classes (super_gradients.training.utils.callbacks.DetectionVisualizationCallback attribute)</a>
 </li>
-      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask.CLASSIFICATION">CLASSIFICATION (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)</a>
+      <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.DeepLearningTask.CLASSIFICATION">CLASSIFICATION (super_gradients.common.data_types.DeepLearningTask attribute)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask.CLASSIFICATION">(super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)</a>
+</li>
+        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.DeepLearningTask.CLASSIFICATION">(super_gradients.common.data_types.enum.DeepLearningTask attribute)</a>
+</li>
+        <li><a href="super_gradients.common.html#super_gradients.common.DeepLearningTask.CLASSIFICATION">(super_gradients.common.DeepLearningTask attribute)</a>
+</li>
         <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.all_datasets.SgLibraryDatasets.CLASSIFICATION">(super_gradients.training.datasets.all_datasets.SgLibraryDatasets attribute)</a>
 </li>
       </ul></li>
@@ -355,37 +390,29 @@
       </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging.cleanup">cleanup() (super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging method)</a>
 </li>
-      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.CoCo2014DetectionDatasetInterface">CoCo2014DetectionDatasetInterface (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.CoCo2014DetectionDatasetInterface">[1]</a>
-
-      <ul>
-        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.CoCo2014DetectionDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces)</a>
-</li>
-        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCo2014DetectionDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
-</li>
-      </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.segmentation_utils.coco_sub_classes_inclusion_tuples_list">coco_sub_classes_inclusion_tuples_list() (in module super_gradients.training.utils.segmentation_utils)</a>
 </li>
       <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase">CoCoDataSetInterfaceBase (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
 </li>
-      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.COCODetectionDataSet">COCODetectionDataSet (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.COCODetectionDataSet">[1]</a>
+      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.COCODetectionDataset">COCODetectionDataset (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.COCODetectionDataset">[1]</a>
 
       <ul>
-        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.COCODetectionDataSet">(class in super_gradients.training.datasets.detection_datasets)</a>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.COCODetectionDataset">(class in super_gradients.training.datasets.detection_datasets)</a>
 </li>
-        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.coco_detection.COCODetectionDataSet">(class in super_gradients.training.datasets.detection_datasets.coco_detection)</a>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.coco_detection.COCODetectionDataset">(class in super_gradients.training.datasets.detection_datasets.coco_detection)</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.CoCoDetectionDatasetInterface">CoCoDetectionDatasetInterface (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.CoCoDetectionDatasetInterface">[1]</a>
+      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.CoCoDetectionDatasetInterface">CoCoDetectionDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces)</a>
 
       <ul>
-        <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.CoCoDetectionDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces)</a>
-</li>
         <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDetectionDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.CoCoSegmentationDataSet">CoCoSegmentationDataSet (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.CoCoSegmentationDataSet">[1]</a>
 
       <ul>
+        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.CoCoSegmentationDataSet">(class in super_gradients.training.datasets.segmentation_datasets)</a>
+</li>
         <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.coco_segmentation.CoCoSegmentationDataSet">(class in super_gradients.training.datasets.segmentation_datasets.coco_segmentation)</a>
 </li>
       </ul></li>
@@ -397,8 +424,6 @@
         <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoSegmentationDatasetInterface">(class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
 </li>
       </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.mixup.CollateMixup">CollateMixup (class in super_gradients.training.datasets.mixup)</a>
 </li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.color">color() (in module super_gradients.training.datasets.auto_augment)</a>
@@ -407,41 +432,65 @@
 </li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.ComposedCollateFunction">ComposedCollateFunction (class in super_gradients.training.datasets.datasets_utils)</a>
 </li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Top5.compute">compute() (super_gradients.training.metrics.classification_metrics.Top5 method)</a>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice.compute">compute() (super_gradients.training.metrics.BinaryDice method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryDice.compute">[1]</a>
 
       <ul>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU.compute">(super_gradients.training.metrics.BinaryIOU method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryIOU.compute">[1]</a>
+</li>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Top5.compute">(super_gradients.training.metrics.classification_metrics.Top5 method)</a>
+</li>
         <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.ToyTestClassificationMetric.compute">(super_gradients.training.metrics.classification_metrics.ToyTestClassificationMetric method)</a>
 </li>
         <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.DetectionMetrics.compute">(super_gradients.training.metrics.detection_metrics.DetectionMetrics method)</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics.compute">(super_gradients.training.metrics.DetectionMetrics method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.DetectionMetrics.compute">[1]</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice.compute">(super_gradients.training.metrics.Dice method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Dice.compute">[1]</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.PixelAccuracy.compute">(super_gradients.training.metrics.PixelAccuracy method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.PixelAccuracy.compute">[1]</a>
+</li>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryDice.compute">(super_gradients.training.metrics.segmentation_metrics.BinaryDice method)</a>
 </li>
         <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU.compute">(super_gradients.training.metrics.segmentation_metrics.BinaryIOU method)</a>
+</li>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.Dice.compute">(super_gradients.training.metrics.segmentation_metrics.Dice method)</a>
 </li>
         <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.PixelAccuracy.compute">(super_gradients.training.metrics.segmentation_metrics.PixelAccuracy method)</a>
 </li>
-      </ul></li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.compute_ap">compute_ap() (in module super_gradients.training.metrics.detection_metrics)</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Top5.compute">(super_gradients.training.metrics.Top5 method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Top5.compute">[1]</a>
 </li>
-      <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss.compute_loss">compute_loss() (super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss method)</a>
-
-      <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.losses.YoLoV5DetectionLoss.compute_loss">(super_gradients.training.losses.YoLoV5DetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoLoV5DetectionLoss.compute_loss">[1]</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.ToyTestClassificationMetric.compute">(super_gradients.training.metrics.ToyTestClassificationMetric method)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.ToyTestClassificationMetric.compute">[1]</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.compute_model_runtime">compute_model_runtime() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
-
-      <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.compute_model_runtime">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.compute_model_runtime">[1]</a>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_box_area">compute_box_area() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
-        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.compute_model_runtime">(super_gradients.training.SgModel method)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_detection_matching">compute_detection_matching() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
-      </ul></li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.distributed_training_utils.compute_precise_bn_stats">compute_precise_bn_stats() (in module super_gradients.training.utils.distributed_training_utils)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_detection_metrics">compute_detection_metrics() (in module super_gradients.training.utils.detection_utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_detection_metrics_per_cls">compute_detection_metrics_per_cls() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
-      <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig.configure_elasticsearch_handler">configure_elasticsearch_handler() (super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig static method)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.compute_img_detection_matching">compute_img_detection_matching() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU.confmat">confmat (super_gradients.training.metrics.segmentation_metrics.BinaryIOU attribute)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.distributed_training_utils.compute_precise_bn_stats">compute_precise_bn_stats() (in module super_gradients.training.utils.distributed_training_utils)</a>
+</li>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryDice.confmat">confmat (super_gradients.training.metrics.BinaryDice attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryDice.confmat">[1]</a>
 
       <ul>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.BinaryIOU.confmat">(super_gradients.training.metrics.BinaryIOU attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.BinaryIOU.confmat">[1]</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice.confmat">(super_gradients.training.metrics.Dice attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Dice.confmat">[1]</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.IoU.confmat">(super_gradients.training.metrics.IoU attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.IoU.confmat">[1]</a>
+</li>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryDice.confmat">(super_gradients.training.metrics.segmentation_metrics.BinaryDice attribute)</a>
+</li>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.BinaryIOU.confmat">(super_gradients.training.metrics.segmentation_metrics.BinaryIOU attribute)</a>
+</li>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.Dice.confmat">(super_gradients.training.metrics.segmentation_metrics.Dice attribute)</a>
+</li>
         <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.IoU.confmat">(super_gradients.training.metrics.segmentation_metrics.IoU attribute)</a>
 </li>
       </ul></li>
@@ -453,6 +502,8 @@
         <li><a href="super_gradients.training.html#super_gradients.training.SgModel.connect_dataset_interface">(super_gradients.training.SgModel method)</a>
 </li>
       </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.ContextSgMethods">ContextSgMethods (class in super_gradients.training.utils.callbacks)</a>
+</li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.auto_augment.contrast">contrast() (in module super_gradients.training.datasets.auto_augment)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.module_utils.ConvBNReLU">ConvBNReLU (class in super_gradients.training.utils.module_utils)</a>
@@ -460,6 +511,8 @@
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.convert_content_length_to_mb">convert_content_length_to_mb() (super_gradients.common.data_connection.s3_connector.S3Connector static method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.convert_content_length_to_mb">(super_gradients.common.data_connection.S3Connector static method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.convert_content_length_to_mb">(super_gradients.common.S3Connector static method)</a>
 </li>
       </ul></li>
@@ -470,40 +523,56 @@
 </li>
       </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.convert_xywh_bbox_to_xyxy">convert_xywh_bbox_to_xyxy() (in module super_gradients.training.utils.detection_utils)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.convert_xyxy_bbox_to_xywh">convert_xyxy_bbox_to_xywh() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.ema.copy_attr">copy_attr() (in module super_gradients.training.utils.ema)</a>
 </li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.copy_key">copy_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.copy_key">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.copy_key">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Accuracy.correct">correct (super_gradients.training.metrics.classification_metrics.Accuracy attribute)</a>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Accuracy.correct">correct (super_gradients.training.metrics.Accuracy attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Accuracy.correct">[1]</a>
+
+      <ul>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.classification_metrics.Accuracy.correct">(super_gradients.training.metrics.classification_metrics.Accuracy attribute)</a>
 </li>
+      </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.CosineLRCallback">CosineLRCallback (class in super_gradients.training.utils.callbacks)</a>
 </li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.create_bucket">create_bucket() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.create_bucket">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.create_bucket">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.create_presigned_download_url">create_presigned_download_url() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.create_presigned_download_url">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.create_presigned_download_url">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.create_presigned_upload_url">create_presigned_upload_url() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.create_presigned_upload_url">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.create_presigned_upload_url">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.label_smoothing_cross_entropy_loss.cross_entropy">cross_entropy() (in module super_gradients.training.losses.label_smoothing_cross_entropy_loss)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.crowd_ioa">crowd_ioa() (in module super_gradients.training.utils.detection_utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.CrowdDetectionCollateFN">CrowdDetectionCollateFN (class in super_gradients.training.utils.detection_utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.MonitoredValue.current">current (super_gradients.training.utils.sg_model_utils.MonitoredValue attribute)</a>
 </li>
       <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector.current_environment_client">current_environment_client (super_gradients.common.aws_connection.aws_secrets_manager_connector.AWSSecretsManagerConnector attribute)</a>
 </li>
@@ -517,18 +586,26 @@
         <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DataAugmentation.cutout">(super_gradients.training.datasets.DataAugmentation static method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DataAugmentation.cutout">[1]</a>
 </li>
       </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.cxcywh2xyxy">cxcywh2xyxy() (in module super_gradients.training.utils.detection_utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionTargetsFormat.CXCYWH_LABEL">CXCYWH_LABEL (super_gradients.training.utils.detection_utils.DetectionTargetsFormat attribute)</a>
+</li>
   </ul></td>
 </tr></table>
 
 <h2 id="D">D</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.DATA_PARALLEL">DATA_PARALLEL (super_gradients.training.MultiGPUMode attribute)</a>
+      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.MultiGPUMode.DATA_PARALLEL">DATA_PARALLEL (super_gradients.common.data_types.enum.MultiGPUMode attribute)</a>
 
       <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.MultiGPUMode.DATA_PARALLEL">(super_gradients.training.sg_model.MultiGPUMode attribute)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.MultiGPUMode.DATA_PARALLEL">[1]</a>
+        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.MultiGPUMode.DATA_PARALLEL">(super_gradients.common.data_types.MultiGPUMode attribute)</a>
 </li>
-        <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.MultiGPUMode.DATA_PARALLEL">(super_gradients.training.sg_model.sg_model.MultiGPUMode attribute)</a>
+        <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.DATA_PARALLEL">(super_gradients.common.MultiGPUMode attribute)</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.DATA_PARALLEL">(super_gradients.training.MultiGPUMode attribute)</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.MultiGPUMode.DATA_PARALLEL">(super_gradients.training.sg_model.MultiGPUMode attribute)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.MultiGPUMode.DATA_PARALLEL">[1]</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.html#super_gradients.training.DataAugmentation">DataAugmentation (class in super_gradients.training)</a>
@@ -558,12 +635,6 @@
 </li>
       </ul></li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger">DatasetStatisticsTensorboardLogger (class in super_gradients.training.datasets.datasets_utils)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.ssd_utils.DefaultBoxes.dboxes256_coco">dboxes256_coco() (super_gradients.training.utils.ssd_utils.DefaultBoxes static method)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.ssd_utils.DefaultBoxes.dboxes300_coco">dboxes300_coco() (super_gradients.training.utils.ssd_utils.DefaultBoxes static method)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.ssd_utils.DefaultBoxes.dboxes300_coco_from19">dboxes300_coco_from19() (super_gradients.training.utils.ssd_utils.DefaultBoxes static method)</a>
 </li>
       <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ddrnet_loss.DDRNetLoss">DDRNetLoss (class in super_gradients.training.losses.ddrnet_loss)</a>
 </li>
@@ -579,10 +650,20 @@
 
       <ul>
         <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation.PascalVOC2012SegmentationDataSet.decode_segmentation_mask">(super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation.PascalVOC2012SegmentationDataSet method)</a>
+</li>
+        <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.PascalVOC2012SegmentationDataSet.decode_segmentation_mask">(super_gradients.training.datasets.segmentation_datasets.PascalVOC2012SegmentationDataSet method)</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask">DeepLearningTask (class in super_gradients.common.data_types.enum.deep_learning_task)</a>
+      <li><a href="super_gradients.common.html#super_gradients.common.DeepLearningTask">DeepLearningTask (class in super_gradients.common)</a>
+
+      <ul>
+        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.DeepLearningTask">(class in super_gradients.common.data_types)</a>
+</li>
+        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.DeepLearningTask">(class in super_gradients.common.data_types.enum)</a>
+</li>
+        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask">(class in super_gradients.common.data_types.enum.deep_learning_task)</a>
 </li>
+      </ul></li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger.DEFAULT_SUMMARY_PARAMS">DEFAULT_SUMMARY_PARAMS (super_gradients.training.datasets.datasets_utils.DatasetStatisticsTensorboardLogger attribute)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.ssd_utils.DefaultBoxes">DefaultBoxes (class in super_gradients.training.utils.ssd_utils)</a>
@@ -590,34 +671,56 @@
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.delete_bucket">delete_bucket() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.delete_bucket">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.delete_bucket">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.delete_key">delete_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.delete_key">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.delete_key">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask.DEPTH_ESTIMATION">DEPTH_ESTIMATION (super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)</a>
+      <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.DeepLearningTask.DEPTH_ESTIMATION">DEPTH_ESTIMATION (super_gradients.common.data_types.DeepLearningTask attribute)</a>
+
+      <ul>
+        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask.DEPTH_ESTIMATION">(super_gradients.common.data_types.enum.deep_learning_task.DeepLearningTask attribute)</a>
+</li>
+        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.DeepLearningTask.DEPTH_ESTIMATION">(super_gradients.common.data_types.enum.DeepLearningTask attribute)</a>
+</li>
+        <li><a href="super_gradients.common.html#super_gradients.common.DeepLearningTask.DEPTH_ESTIMATION">(super_gradients.common.DeepLearningTask attribute)</a>
 </li>
+      </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.Anchors.detection_layers_num">detection_layers_num (super_gradients.training.utils.detection_utils.Anchors property)</a>
 </li>
-      <li><a href="super_gradients.training.html#super_gradients.training.DetectionDataSet">DetectionDataSet (class in super_gradients.training)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionCollateFN">DetectionCollateFN (class in super_gradients.training.utils.detection_utils)</a>
+</li>
+      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataset">DetectionDataset (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataset">[1]</a>
 
       <ul>
-        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataSet">(class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataSet">[1]</a>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataset">(class in super_gradients.training.datasets.detection_datasets)</a>
 </li>
-        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataSet">(class in super_gradients.training.datasets.detection_datasets)</a>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset">(class in super_gradients.training.datasets.detection_datasets.detection_dataset)</a>
 </li>
-        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet">(class in super_gradients.training.datasets.detection_datasets.detection_dataset)</a>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionDatasetInterface">DetectionDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
+</li>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics">DetectionMetrics (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.DetectionMetrics">[1]</a>
+
+      <ul>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.DetectionMetrics">(class in super_gradients.training.metrics.detection_metrics)</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.DetectionMetrics">DetectionMetrics (class in super_gradients.training.metrics.detection_metrics)</a>
+      <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.DetectionMultiscalePrePredictionCallback">DetectionMultiscalePrePredictionCallback (class in super_gradients.training.datasets.datasets_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionPostPredictionCallback">DetectionPostPredictionCallback (class in super_gradients.training.utils.detection_utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionTargetsFormat">DetectionTargetsFormat (class in super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.html#super_gradients.training.DetectionTestDatasetInterface">DetectionTestDatasetInterface (class in super_gradients.training)</a>
 
@@ -632,28 +735,60 @@
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionVisualization">DetectionVisualization (class in super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DetectionVisualizationCallback">DetectionVisualizationCallback (class in super_gradients.training.utils.callbacks)</a>
+</li>
+      <li><a href="super_gradients.training.html#super_gradients.training.metrics.Dice">Dice (class in super_gradients.training.metrics)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.Dice">[1]</a>
+
+      <ul>
+        <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.segmentation_metrics.Dice">(class in super_gradients.training.metrics.segmentation_metrics)</a>
+</li>
+      </ul></li>
+      <li><a href="super_gradients.training.html#super_gradients.training.losses.DiceCEEdgeLoss">DiceCEEdgeLoss (class in super_gradients.training.losses)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.DiceCEEdgeLoss">[1]</a>
 </li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DirectoryDataSet">DirectoryDataSet (class in super_gradients.training.datasets)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DirectoryDataSet">[1]</a>
 
       <ul>
         <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.sg_dataset.DirectoryDataSet">(class in super_gradients.training.datasets.sg_dataset)</a>
+</li>
+      </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.sg_model_utils.display_epoch_summary">display_epoch_summary() (in module super_gradients.training.utils.sg_model_utils)</a>
+</li>
+      <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.detection_metrics.DetectionMetrics.dist_sync_on_step">dist_sync_on_step (super_gradients.training.metrics.detection_metrics.DetectionMetrics attribute)</a>
+
+      <ul>
+        <li><a href="super_gradients.training.html#super_gradients.training.metrics.DetectionMetrics.dist_sync_on_step">(super_gradients.training.metrics.DetectionMetrics attribute)</a>, <a href="super_gradients.training.metrics.html#super_gradients.training.metrics.DetectionMetrics.dist_sync_on_step">[1]</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.distributed_training_utils.distributed_all_reduce_tensor_average">distributed_all_reduce_tensor_average() (in module super_gradients.training.utils.distributed_training_utils)</a>
 </li>
-      <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">DISTRIBUTED_DATA_PARALLEL (super_gradients.training.MultiGPUMode attribute)</a>
+      <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">DISTRIBUTED_DATA_PARALLEL (super_gradients.common.data_types.enum.MultiGPUMode attribute)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.common.data_types.MultiGPUMode attribute)</a>
+</li>
+        <li><a href="super_gradients.common.html#super_gradients.common.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.common.MultiGPUMode attribute)</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.training.MultiGPUMode attribute)</a>
+</li>
         <li><a href="super_gradients.training.html#super_gradients.training.sg_model.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.training.sg_model.MultiGPUMode attribute)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">[1]</a>
 </li>
-        <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.MultiGPUMode.DISTRIBUTED_DATA_PARALLEL">(super_gradients.training.sg_model.sg_model.MultiGPUMode attribute)</a>
+      </ul></li>
+      <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.pascal_voc_detection.PascalVOCDetectionDataset.download">download() (super_gradients.training.datasets.detection_datasets.pascal_voc_detection.PascalVOCDetectionDataset static method)</a>
+
+      <ul>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.PascalVOCDetectionDataset.download">(super_gradients.training.datasets.detection_datasets.PascalVOCDetectionDataset static method)</a>
+</li>
+        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.PascalVOCDetectionDataset.download">(super_gradients.training.datasets.PascalVOCDetectionDataset static method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.PascalVOCDetectionDataset.download">[1]</a>
 </li>
       </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.download_and_untar_from_url">download_and_untar_from_url() (in module super_gradients.training.utils.utils)</a>
+</li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.download_and_unzip_from_url">download_and_unzip_from_url() (in module super_gradients.training.utils.utils)</a>
 </li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.download_file_by_path">download_file_by_path() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.download_file_by_path">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.download_file_by_path">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
@@ -668,16 +803,22 @@
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.download_key">download_key() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.download_key">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.download_key">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.download_keys_by_prefix">download_keys_by_prefix() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.download_keys_by_prefix">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.download_keys_by_prefix">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.regularization_utils.DropPath">DropPath (class in super_gradients.training.utils.regularization_utils)</a>
+</li>
+      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.dynamic_k_matching">dynamic_k_matching() (super_gradients.training.losses.YoloXDetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.dynamic_k_matching">[1]</a>
 </li>
   </ul></td>
 </tr></table>
@@ -692,10 +833,14 @@
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.empty_folder_content_by_path_prefix">empty_folder_content_by_path_prefix() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.empty_folder_content_by_path_prefix">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.empty_folder_content_by_path_prefix">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.datasets.segmentation_datasets.html#super_gradients.training.datasets.segmentation_datasets.coco_segmentation.EmptyCoCoClassesSelectionException">EmptyCoCoClassesSelectionException</a>
+</li>
+      <li><a href="super_gradients.training.exceptions.html#super_gradients.training.exceptions.dataset_exceptions.EmptyDatasetException">EmptyDatasetException</a>
 </li>
       <li><a href="super_gradients.common.environment.html#super_gradients.common.environment.env_helpers.TerminalColours.ENDC">ENDC (super_gradients.common.environment.env_helpers.TerminalColours attribute)</a>
 </li>
@@ -711,27 +856,25 @@
       </ul></li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.EvaluationType">EvaluationType (class in super_gradients.training.sg_model.sg_model)</a>
-</li>
-      <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet.exif_size">exif_size() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataSet static method)</a>
+      <li><a href="super_gradients.common.html#super_gradients.common.EvaluationType">EvaluationType (class in super_gradients.common)</a>
 
       <ul>
-        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataSet.exif_size">(super_gradients.training.datasets.detection_datasets.DetectionDataSet static method)</a>
+        <li><a href="super_gradients.common.data_types.html#super_gradients.common.data_types.EvaluationType">(class in super_gradients.common.data_types)</a>
 </li>
-        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataSet.exif_size">(super_gradients.training.datasets.DetectionDataSet static method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataSet.exif_size">[1]</a>
-</li>
-        <li><a href="super_gradients.training.html#super_gradients.training.DetectionDataSet.exif_size">(super_gradients.training.DetectionDataSet static method)</a>
+        <li><a href="super_gradients.common.data_types.enum.html#super_gradients.common.data_types.enum.EvaluationType">(class in super_gradients.common.data_types.enum)</a>
 </li>
       </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.exif_size">exif_size() (in module super_gradients.training.utils.utils)</a>
+</li>
       <li><a href="super_gradients.common.html#super_gradients.common.explicit_params_validation">explicit_params_validation() (in module super_gradients.common)</a>
 
       <ul>
+        <li><a href="super_gradients.common.decorators.html#super_gradients.common.decorators.explicit_params_validation">(in module super_gradients.common.decorators)</a>
+</li>
         <li><a href="super_gradients.common.decorators.html#super_gradients.common.decorators.explicit_params_validator.explicit_params_validation">(in module super_gradients.common.decorators.explicit_params_validator)</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.export_utils.ExportableHardswish">ExportableHardswish (class in super_gradients.training.utils.export_utils)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.export_utils.ExportableSiLU">ExportableSiLU (class in super_gradients.training.utils.export_utils)</a>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.ExponentialLRCallback">ExponentialLRCallback (class in super_gradients.training.utils.callbacks)</a>
 </li>
       <li><a href="super_gradients.training.datasets.dataset_interfaces.html#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ExternalDatasetInterface">ExternalDatasetInterface (class in super_gradients.training.datasets.dataset_interfaces.dataset_interface)</a>
 </li>
@@ -759,16 +902,22 @@
         <li><a href="super_gradients.training.html#super_gradients.training.losses.BCEDiceLoss.forward">(super_gradients.training.losses.BCEDiceLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.BCEDiceLoss.forward">[1]</a>
 </li>
         <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ddrnet_loss.DDRNetLoss.forward">(super_gradients.training.losses.ddrnet_loss.DDRNetLoss method)</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.losses.DiceCEEdgeLoss.forward">(super_gradients.training.losses.DiceCEEdgeLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.DiceCEEdgeLoss.forward">[1]</a>
 </li>
         <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.focal_loss.FocalLoss.forward">(super_gradients.training.losses.focal_loss.FocalLoss method)</a>
 </li>
         <li><a href="super_gradients.training.html#super_gradients.training.losses.FocalLoss.forward">(super_gradients.training.losses.FocalLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.FocalLoss.forward">[1]</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.losses.KDLogitsLoss.forward">(super_gradients.training.losses.KDLogitsLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.KDLogitsLoss.forward">[1]</a>
 </li>
         <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.label_smoothing_cross_entropy_loss.LabelSmoothingCrossEntropyLoss.forward">(super_gradients.training.losses.label_smoothing_cross_entropy_loss.LabelSmoothingCrossEntropyLoss method)</a>
 </li>
         <li><a href="super_gradients.training.html#super_gradients.training.losses.LabelSmoothingCrossEntropyLoss.forward">(super_gradients.training.losses.LabelSmoothingCrossEntropyLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.LabelSmoothingCrossEntropyLoss.forward">[1]</a>
 </li>
-        <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ohem_ce_loss.OhemCELoss.forward">(super_gradients.training.losses.ohem_ce_loss.OhemCELoss method)</a>
+        <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ohem_ce_loss.OhemBCELoss.forward">(super_gradients.training.losses.ohem_ce_loss.OhemBCELoss method)</a>
+</li>
+        <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ohem_ce_loss.OhemLoss.forward">(super_gradients.training.losses.ohem_ce_loss.OhemLoss method)</a>
 </li>
         <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.r_squared_loss.RSquaredLoss.forward">(super_gradients.training.losses.r_squared_loss.RSquaredLoss method)</a>
 </li>
@@ -781,30 +930,22 @@
         <li><a href="super_gradients.training.html#super_gradients.training.losses.ShelfNetOHEMLoss.forward">(super_gradients.training.losses.ShelfNetOHEMLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.ShelfNetOHEMLoss.forward">[1]</a>
 </li>
         <li><a href="super_gradients.training.html#super_gradients.training.losses.ShelfNetSemanticEncodingLoss.forward">(super_gradients.training.losses.ShelfNetSemanticEncodingLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.ShelfNetSemanticEncodingLoss.forward">[1]</a>
+</li>
+        <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ssd_loss.HardMiningCrossEntropyLoss.forward">(super_gradients.training.losses.ssd_loss.HardMiningCrossEntropyLoss method)</a>
 </li>
         <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.ssd_loss.SSDLoss.forward">(super_gradients.training.losses.ssd_loss.SSDLoss method)</a>
 </li>
         <li><a href="super_gradients.training.html#super_gradients.training.losses.SSDLoss.forward">(super_gradients.training.losses.SSDLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.SSDLoss.forward">[1]</a>
 </li>
-        <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.yolo_v3_loss.YoLoV3DetectionLoss.forward">(super_gradients.training.losses.yolo_v3_loss.YoLoV3DetectionLoss method)</a>
-</li>
-        <li><a href="super_gradients.training.losses.html#super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss.forward">(super_gradients.training.losses.yolo_v5_loss.YoLoV5DetectionLoss method)</a>
-</li>
-        <li><a href="super_gradients.training.html#super_gradients.training.losses.YoLoV3DetectionLoss.forward">(super_gradients.training.losses.YoLoV3DetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoLoV3DetectionLoss.forward">[1]</a>
-</li>
-        <li><a href="super_gradients.training.html#super_gradients.training.losses.YoLoV5DetectionLoss.forward">(super_gradients.training.losses.YoLoV5DetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoLoV5DetectionLoss.forward">[1]</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.forward">(super_gradients.training.losses.YoloXDetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.forward">[1]</a>
 </li>
         <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.DetectionPostPredictionCallback.forward">(super_gradients.training.utils.detection_utils.DetectionPostPredictionCallback method)</a>
-</li>
-        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.YoloV3NonMaxSuppression.forward">(super_gradients.training.utils.detection_utils.YoloV3NonMaxSuppression method)</a>
-</li>
-        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.export_utils.ExportableHardswish.forward">(super_gradients.training.utils.export_utils.ExportableHardswish static method)</a>
-</li>
-        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.export_utils.ExportableSiLU.forward">(super_gradients.training.utils.export_utils.ExportableSiLU static method)</a>
 </li>
         <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.module_utils.ConvBNReLU.forward">(super_gradients.training.utils.module_utils.ConvBNReLU method)</a>
 </li>
         <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.module_utils.MultiOutputModule.forward">(super_gradients.training.utils.module_utils.MultiOutputModule method)</a>
+</li>
+        <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.module_utils.NormalizationAdapter.forward">(super_gradients.training.utils.module_utils.NormalizationAdapter method)</a>
 </li>
         <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.regularization_utils.DropPath.forward">(super_gradients.training.utils.regularization_utils.DropPath method)</a>
 </li>
@@ -818,8 +959,6 @@
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.FunctionLRCallback">FunctionLRCallback (class in super_gradients.training.utils.callbacks)</a>
-</li>
-      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.fuse_conv_and_bn">fuse_conv_and_bn() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.export_utils.fuse_conv_bn">fuse_conv_bn() (in module super_gradients.training.utils.export_utils)</a>
 </li>
@@ -832,46 +971,60 @@
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig.generate_config_for_module_name">generate_config_for_module_name() (super_gradients.common.auto_logging.auto_logger.AutoLoggerConfig static method)</a>
+
+      <ul>
+        <li><a href="super_gradients.common.auto_logging.html#super_gradients.common.auto_logging.AutoLoggerConfig.generate_config_for_module_name">(super_gradients.common.auto_logging.AutoLoggerConfig static method)</a>
 </li>
+      </ul></li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.all_datasets.SgLibraryDatasets.get_all_available_datasets">get_all_available_datasets() (super_gradients.training.datasets.all_datasets.SgLibraryDatasets static method)</a>
 </li>
-      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.get_arch_params">get_arch_params() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
+      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.get_arch_params">get_arch_params (super_gradients.training.sg_model.sg_model.SgModel property)</a>
 
       <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.get_arch_params">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.get_arch_params">[1]</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.get_arch_params">(super_gradients.training.sg_model.SgModel property)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.get_arch_params">[1]</a>
 </li>
-        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.get_arch_params">(super_gradients.training.SgModel method)</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.get_arch_params">(super_gradients.training.SgModel property)</a>
 </li>
       </ul></li>
-      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.get_architecture">get_architecture() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
+      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.get_architecture">get_architecture (super_gradients.training.sg_model.sg_model.SgModel property)</a>
 
       <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.get_architecture">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.get_architecture">[1]</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.get_architecture">(super_gradients.training.sg_model.SgModel property)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.get_architecture">[1]</a>
 </li>
-        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.get_architecture">(super_gradients.training.SgModel method)</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.get_architecture">(super_gradients.training.SgModel property)</a>
 </li>
       </ul></li>
+      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.get_assignments">get_assignments() (super_gradients.training.losses.YoloXDetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.get_assignments">[1]</a>
+</li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging.get_average_model">get_average_model() (super_gradients.training.utils.weight_averaging_utils.ModelWeightAveraging method)</a>
 </li>
       <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_connector.AWSConnector.get_aws_client_for_service_name">get_aws_client_for_service_name() (super_gradients.common.aws_connection.aws_connector.AWSConnector static method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.AWSConnector.get_aws_client_for_service_name">(super_gradients.common.aws_connection.AWSConnector static method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.AWSConnector.get_aws_client_for_service_name">(super_gradients.common.AWSConnector static method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_connector.AWSConnector.get_aws_resource_for_service_name">get_aws_resource_for_service_name() (super_gradients.common.aws_connection.aws_connector.AWSConnector static method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.AWSConnector.get_aws_resource_for_service_name">(super_gradients.common.aws_connection.AWSConnector static method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.AWSConnector.get_aws_resource_for_service_name">(super_gradients.common.AWSConnector static method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.aws_connector.AWSConnector.get_aws_session">get_aws_session() (super_gradients.common.aws_connection.aws_connector.AWSConnector static method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.aws_connection.html#super_gradients.common.aws_connection.AWSConnector.get_aws_session">(super_gradients.common.aws_connection.AWSConnector static method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.AWSConnector.get_aws_session">(super_gradients.common.AWSConnector static method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.checkpoint_utils.get_ckpt_local_path">get_ckpt_local_path() (in module super_gradients.training.utils.checkpoint_utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.get_cls_posx_in_target">get_cls_posx_in_target() (in module super_gradients.training.utils.detection_utils)</a>
 </li>
       <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.datasets_utils.get_color_augmentation">get_color_augmentation() (in module super_gradients.training.datasets.datasets_utils)</a>
 </li>
@@ -903,15 +1056,21 @@
         <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DatasetInterface.get_dataset_params">(super_gradients.training.datasets.DatasetInterface method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DatasetInterface.get_dataset_params">[1]</a>
 </li>
       </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="super_gradients.common.environment.html#super_gradients.common.environment.env_helpers.get_environ_as_type">get_environ_as_type() (in module super_gradients.common.environment.env_helpers)</a>
 </li>
       <li><a href="super_gradients.training.models.html#super_gradients.training.models.sg_module.SgModule.get_exclude_attributes">get_exclude_attributes() (super_gradients.training.models.sg_module.SgModule method)</a>
 </li>
       <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.get_filename_suffix_by_framework">get_filename_suffix_by_framework() (in module super_gradients.training.utils.utils)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.get_image_size_from_path">get_image_size_from_path() (in module super_gradients.training.utils.utils)</a>
+</li>
+      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.get_in_boxes_info">get_in_boxes_info() (super_gradients.training.losses.YoloXDetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.get_in_boxes_info">[1]</a>
 </li>
       <li><a href="super_gradients.training.models.html#super_gradients.training.models.sg_module.SgModule.get_include_attributes">get_include_attributes() (super_gradients.training.models.sg_module.SgModule method)</a>
+</li>
+      <li><a href="super_gradients.training.html#super_gradients.training.losses.YoloXDetectionLoss.get_l1_target">get_l1_target() (super_gradients.training.losses.YoloXDetectionLoss method)</a>, <a href="super_gradients.training.losses.html#super_gradients.training.losses.YoloXDetectionLoss.get_l1_target">[1]</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.distributed_training_utils.get_local_rank">get_local_rank() (in module super_gradients.training.utils.distributed_training_utils)</a>
 </li>
       <li><a href="super_gradients.common.abstractions.html#super_gradients.common.abstractions.abstract_logger.get_logger">get_logger() (in module super_gradients.common.abstractions.abstract_logger)</a>
 </li>
@@ -923,50 +1082,116 @@
 </li>
       <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.metric_utils.get_metrics_dict">get_metrics_dict() (in module super_gradients.training.metrics.metric_utils)</a>
 </li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.metric_utils.get_metrics_results_tuple">get_metrics_results_tuple() (in module super_gradients.training.metrics.metric_utils)</a>
 </li>
       <li><a href="super_gradients.training.metrics.html#super_gradients.training.metrics.metric_utils.get_metrics_titles">get_metrics_titles() (in module super_gradients.training.metrics.metric_utils)</a>
 </li>
-      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.get_module">get_module() (super_gradients.training.sg_model.sg_model.SgModel method)</a>
+      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.get_module">get_module (super_gradients.training.sg_model.sg_model.SgModel property)</a>
 
       <ul>
-        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.get_module">(super_gradients.training.sg_model.SgModel method)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.get_module">[1]</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.get_module">(super_gradients.training.sg_model.SgModel property)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.get_module">[1]</a>
 </li>
-        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.get_module">(super_gradients.training.SgModel method)</a>
+        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.get_module">(super_gradients.training.SgModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.detection_utils.get_mosaic_coordinate">get_mosaic_coordinate() (in module super_gradients.training.utils.detection_utils)</a>
+</li>
+      <li><a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.sg_model.SgModel.get_net">get_net (super_gradients.training.sg_model.sg_model.SgModel property)</a>
+
+      <ul>
+        <li><a href="super_gradients.training.html#super_gradients.training.sg_model.SgModel.get_net">(super_gradients.training.sg_model.SgModel property)</a>, <a href="super_gradients.training.sg_model.html#super_gradients.training.sg_model.SgModel.get_net">[1]</a>
+</li>
+        <li><a href="super_gradients.training.html#super_gradients.training.SgModel.get_net">(super_gradients.training.SgModel property)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.get_object_by_etag">get_object_by_etag() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.get_object_by_etag">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.get_object_by_etag">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
       <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.s3_connector.S3Connector.get_object_metadata">get_object_metadata() (super_gradients.common.data_connection.s3_connector.S3Connector method)</a>
 
       <ul>
+        <li><a href="super_gradients.common.data_connection.html#super_gradients.common.data_connection.S3Connector.get_object_metadata">(super_gradients.common.data_connection.S3Connector method)</a>
+</li>
         <li><a href="super_gradients.common.html#super_gradients.common.S3Connector.get_object_metadata">(super_gradients.common.S3Connector method)</a>
 </li>
       </ul></li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.callbacks.DeciLabUploadCallback.get_optimization_status">get_optimization_status() (super_gradients.training.utils.callbacks.DeciLabUploadCallback method)</a>
+</li>
+      <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.get_orientation_key">get_orientation_key() (in module super_gradients.training.utils.utils)</a>
+</li>
       <li><a href="super_gradients.training.html#super_gradients.training.utils.get_param">get_param() (in module super_gradients.training.utils)</a>, <a href="super_gradients.training.utils.html#super_gradients.training.utils.get_param">[1]</a>
 
       <ul>
         <li><a href="super_gradients.training.utils.html#super_gradients.training.utils.utils.get_param">(in module super_gradients.training.utils.utils)</a>
+</li>
+      </ul></li>
+      <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset.get_random_item">get_random_item() (super_gradients.training.datasets.detection_datasets.detection_dataset.DetectionDataset method)</a>
+
+      <ul>
+        <li><a href="super_gradients.training.datasets.detection_datasets.html#super_gradients.training.datasets.detection_datasets.DetectionDataset.get_random_item">(super_gradients.training.datasets.detection_datasets.DetectionDataset method)</a>
+</li>
+        <li><a href="super_gradients.training.datasets.html#super_gradients.training.datasets.DetectionDataset.get_random_item">(super_gradients.training.datasets.DetectionDataset method)</a>, <a href="super_gradients.training.html#super_gradients.training.datasets.DetectionDataset.get_random_item">[1]</a>