super-gradients/src/super_gradients/training/datasets/datasets_conf.py

COCO_DEFAULT_CLASSES_TUPLES_LIST = [(0, 'background'), (1, 'person'), (2, 'bicycle'), (3, 'car'), (4, 'motorcycle'),
                                    (5, 'airplane'), (6, 'bus'), (7, 'train'), (8, 'truck'), (9, 'boat'),
                                    (10, 'traffic light'),
                                    (11, 'fire hydrant'), (12, 'street sign'), (13, 'stop sign'), (14, 'parking meter'),
                                    (15, 'bench'), (16, 'bird'), (17, 'cat'), (18, 'dog'), (19, 'horse'), (20, 'sheep'),
                                    (21, 'cow'), (22, 'elephant'), (23, 'bear'), (24, 'zebra'), (25, 'giraffe'),
                                    (26, 'hat'),
                                    (27, 'backpack'), (28, 'umbrella'), (29, 'shoe'), (30, 'eye glasses'),
                                    (31, 'handbag'),
                                    (32, 'tie'), (33, 'suitcase'), (34, 'frisbee'), (35, 'skis'), (36, 'snowboard'),
                                    (37, 'sports ball'), (38, 'kite'), (39, 'baseball bat'), (40, 'baseball glove'),
                                    (41, 'skateboard'), (42, 'surfboard'), (43, 'tennis racket'), (44, 'bottle'),
                                    (45, 'plate'),
                                    (46, 'wine glass'), (47, 'cup'), (48, 'fork'), (49, 'knife'), (50, 'spoon'),
                                    (51, 'bowl'),
                                    (51, 'bowl'), (52, 'banana'), (53, 'apple'), (54, 'sandwich'), (55, 'orange'),
                                    (56, 'broccoli'), (57, 'carrot'), (58, 'hot dog'), (59, 'pizza'), (60, 'donut'),
                                    (61, 'cake'), (62, 'chair'), (63, 'couch'), (64, 'potted plant'), (65, 'bed'),
                                    (66, 'mirror'), (67, 'dining table'), (68, 'window'), (69, 'desk'), (70, 'toilet'),
                                    (71, 'door'), (72, 'tv'), (73, 'laptop'), (74, 'mouse'), (75, 'remote'),
                                    (76, 'keyboard'),
                                    (77, 'cell phone'), (78, 'microwave'), (79, 'oven'), (80, 'toaster'), (81, 'sink'),
                                    (82, 'refrigerator'), (83, 'blender'), (84, 'book'), (85, 'clock'), (86, 'vase'),
                                    (87, 'scissors'), (88, 'teddy bear'), (89, 'hair drier'), (90, 'toothbrush'),
                                    (91, 'hair brush')]

COCO_DETECTION_CLASSES_LIST = [
    'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
    'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
    'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
    'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
    'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
    'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
    'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard',
    'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors',
    'teddy bear', 'hair drier', 'toothbrush'
]

PASCAL_VOC_2012_CLASSES_LIST = [
    'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog',
    'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']