@@ -18,7 +18,7 @@ SuperGradients allows you to train or fine-tune SOTA pre-trained models for all
 ### Built-in SOTA Models
 
 Easily load and fine-tune production-ready, [pre-trained SOTA models](model_zoo.md) that incorporate best practices and validated hyper-parameters for achieving best-in-class accuracy (Yolox, PP-YoloE, STDC, DDRNet, and PP-LiteSeg).
-    
+
 ### Easily Reproduce our Results
        
 Why do all the grind work, if we already did it for you? leverage tested and proven [recipes](https://github.com/Deci-AI/super-gradients/tree/master/src/super_gradients/recipes) & [code examples](https://github.com/Deci-AI/super-gradients/tree/master/src/super_gradients/examples) for a wide range of computer vision models generated by our team of deep learning experts. Easily configure your own or use plug & play hyperparameters for training, dataset, and architecture.
@@ -30,7 +30,7 @@ All SuperGradients models’ are production ready in the sense that they are com
 ## Getting Started
 Check out our [Quickstart tutorial](QuickstartBasicToolkit.md) to get learn the basic of SuperGradients.
 
-You can also start from our tutorial on [Detection](.), [Segmentation](Segmentation.md) or [Pose Estimation](PoseEstimation.md).
+You can also start from our tutorial on [Detection](ObjectDetection.md), [Segmentation](Segmentation.md) or [Pose Estimation](PoseEstimation.md).
  
 ## What's New
 __________________________________________________________________________________________________________
@@ -40,7 +40,7 @@ ________________________________________________________________________________
 * 【17/1/2023】 Quantization Aware Training (QAT) and Post Training Quantization (PTQ) - including selective quantization 
 * 【17/11/2022】 Integration with ClearML
 * 【06/9/2022】 PP-LiteSeg - new pre-trained [checkpoints](http://bit.ly/3EGfKD4) and [recipes](http://bit.ly/3gfLw07) for Cityscapes with SOTA mIoU scores (~1.5% above paper)🎯
-* 【07/08/2022】DDRNet23 -  new pre-trained [checkpoints](http://bit.ly/3EGfKD4) and [recipes](http://bit.ly/3gfLw07) for Cityscapes with SOTA mIoU scores (~1% above paper)🎯
+* 【07/08/2022】DDRNet23 - new pre-trained [checkpoints](http://bit.ly/3EGfKD4) and [recipes](http://bit.ly/3gfLw07) for Cityscapes with SOTA mIoU scores (~1% above paper)🎯
 * 【27/07/2022】YOLOX models (object detection) - recipes and pre-trained checkpoints.
 * 【07/07/2022】SSD Lite MobileNet V2,V1 - Training [recipes](http://bit.ly/3gfLw07) and pre-trained [checkpoints](http://bit.ly/3EGfKD4) on COCO - Tailored for edge devices! 📱
 * 【07/07/2022】 STDC  - new pre-trained [checkpoints](http://bit.ly/3EGfKD4) and [recipes](http://bit.ly/3gfLw07) for Cityscapes with super SOTA mIoU scores (~2.5% above paper)🎯
@@ -100,8 +100,6 @@ If you want to be a part of SuperGradients growing community, hear about all the
 
 * Join the [SG Newsletter](https://www.supergradients.com/#Newsletter)
   for staying up to date with new features and models, important announcements, and upcoming events.
-    
-* For a short meeting with us, use this [link](https://calendly.com/ofer-baratz-deci/15min) and choose your preferred time.
 
 ## License
 
@@ -112,7 +110,6 @@ This project is released under the [Apache 2.0 license](LICENSE).
 ### BibTeX
 
 ```bibtex
-
 @misc{supergradients,
   doi = {10.5281/ZENODO.7789328},
   url = {https://zenodo.org/record/7789328},