Collections: - Name: YOLOX Metadata: Training Data: COCO Training Techniques: - SGD with Nesterov - Weight Decay - Cosine Annealing Lr Updater Training Resources: 8x A100 GPUs Architecture: - CSPDarkNet - PAFPN Paper: URL: https://arxiv.org/abs/2107.08430 Title: 'YOLOX: Exceeding YOLO Series in 2021' README: configs/yolox/README.md Code: URL: https://github.com/open-mmlab/mmyolo/blob/v0.1.0/mmyolo/models/detectors/yolo_detector.py#L12 Version: v0.1.0 Models: - Name: yolox_tiny_fast_8xb8-300e_coco In Collection: YOLOX Config: configs/yolox/yolox_tiny_fast_8xb8-300e_coco.py Metadata: Training Memory (GB): 2.8 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 32.7 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_tiny_8xb8-300e_coco/yolox_tiny_8xb8-300e_coco_20220919_090908-0e40a6fc.pth - Name: yolox_s_fast_8xb8-300e_coco In Collection: YOLOX Config: configs/yolox/yolox_s_fast_8xb8-300e_coco.py Metadata: Training Memory (GB): 2.9 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 40.7 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_s_fast_8xb8-300e_coco/yolox_s_fast_8xb8-300e_coco_20230213_142600-2b224d8b.pth - Name: yolox_m_fast_8xb8-300e_coco In Collection: YOLOX Config: configs/yolox/yolox_m_fast_8xb8-300e_coco.py Metadata: Training Memory (GB): 4.9 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 46.9 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_m_fast_8xb8-300e_coco/yolox_m_fast_8xb8-300e_coco_20230213_160218-a71a6b25.pth - Name: yolox_l_fast_8xb8-300e_coco In Collection: YOLOX Config: configs/yolox/yolox_l_fast_8xb8-300e_coco.py Metadata: Training Memory (GB): 8.0 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 50.1 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_l_fast_8xb8-300e_coco/yolox_l_fast_8xb8-300e_coco_20230213_160715-c731eb1c.pth - Name: yolox_x_fast_8xb8-300e_coco In Collection: YOLOX Config: configs/yolox/yolox_x_fast_8xb8-300e_coco.py Metadata: Training Memory (GB): 9.8 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 51.4 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_x_fast_8xb8-300e_coco/yolox_x_fast_8xb8-300e_coco_20230215_133950-1d509fab.pth - Name: yolox_tiny_fast_8xb32-300e-rtmdet-hyp_coco In Collection: YOLOX Config: configs/yolox/yolox_tiny_fast_8xb32-300e-rtmdet-hyp_coco.py Metadata: Training Memory (GB): 4.9 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 34.3 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_tiny_fast_8xb32-300e-rtmdet-hyp_coco/yolox_tiny_fast_8xb32-300e-rtmdet-hyp_coco_20230210_143637-4c338102.pth - Name: yolox_s_fast_8xb32-300e-rtmdet-hyp_coco In Collection: YOLOX Config: configs/yolox/yolox_s_fast_8xb32-300e-rtmdet-hyp_coco.py Metadata: Training Memory (GB): 9.8 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.9 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_s_fast_8xb32-300e-rtmdet-hyp_coco/yolox_s_fast_8xb32-300e-rtmdet-hyp_coco_20230210_134645-3a8dfbd7.pth - Name: yolox_m_fast_8xb32-300e-rtmdet-hyp_coco In Collection: YOLOX Config: configs/yolox/yolox_m_fast_8xb32-300e-rtmdet-hyp_coco.py Metadata: Training Memory (GB): 17.6 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 47.5 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/yolox_m_fast_8xb32-300e-rtmdet-hyp_coco/yolox_m_fast_8xb32-300e-rtmdet-hyp_coco_20230210_144328-e657e182.pth - Name: yolox-pose_tiny_8xb32-300e-rtmdet-hyp_coco In Collection: YOLOX Config: yolox-pose_tiny_8xb32-300e-rtmdet-hyp_coco.py Metadata: Training Memory (GB): 5.3 Epochs: 300 Results: - Task: Human Pose Estimation Dataset: COCO Metrics: AP: 52.8 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/pose/yolox-pose_tiny_8xb32-300e-rtmdet-hyp_coco/yolox-pose_tiny_8xb32-300e-rtmdet-hyp_coco_20230427_080351-2117af67.pth - Name: yolox-pose_s_8xb32-300e-rtmdet-hyp_coco In Collection: YOLOX Config: yolox-pose_s_8xb32-300e-rtmdet-hyp_coco.py Metadata: Training Memory (GB): 10.7 Epochs: 300 Results: - Task: Human Pose Estimation Dataset: COCO Metrics: AP: 63.7 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/pose/yolox-pose_s_8xb32-300e-rtmdet-hyp_coco/yolox-pose_s_8xb32-300e-rtmdet-hyp_coco_20230427_005150-e87d843a.pth - Name: yolox-pose_m_8xb32-300e-rtmdet-hyp_coco In Collection: YOLOX Config: yolox-pose_m_8xb32-300e-rtmdet-hyp_coco.py Metadata: Training Memory (GB): 19.2 Epochs: 300 Results: - Task: Human Pose Estimation Dataset: COCO Metrics: AP: 69.3 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/pose/yolox-pose_m_8xb32-300e-rtmdet-hyp_coco/yolox-pose_m_8xb32-300e-rtmdet-hyp_coco_20230427_094024-bbeacc1c.pth - Name: yolox-pose_l_8xb32-300e-rtmdet-hyp_coco In Collection: YOLOX Config: yolox-pose_l_8xb32-300e-rtmdet-hyp_coco.py Metadata: Training Memory (GB): 30.3 Epochs: 300 Results: - Task: Human Pose Estimation Dataset: COCO Metrics: AP: 71.1 Weights: https://download.openmmlab.com/mmyolo/v0/yolox/pose/yolox-pose_l_8xb32-300e-rtmdet-hyp_coco/yolox-pose_l_8xb32-300e-rtmdet-hyp_coco_20230427_041140-82d65ac8.pth