Collections: - Name: YOLOX Metadata: Training Data: COCO Training Techniques: - SGD with Nesterov - Weight Decay - Cosine Annealing Lr Updater Training Resources: 8x TITANXp 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/mmdetection/blob/v2.15.1/mmdet/models/detectors/yolox.py#L6 Version: v2.15.1 Models: - Name: yolox_s_8x8_300e_coco In Collection: YOLOX Config: configs/yolox/yolox_s_8xb8-300e_coco.py Metadata: Training Memory (GB): 7.6 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 40.5 Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_s_8x8_300e_coco/yolox_s_8x8_300e_coco_20211121_095711-4592a793.pth - Name: yolox_l_8x8_300e_coco In Collection: YOLOX Config: configs/yolox/yolox_l_8xb8-300e_coco.py Metadata: Training Memory (GB): 19.9 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 49.4 Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_l_8x8_300e_coco/yolox_l_8x8_300e_coco_20211126_140236-d3bd2b23.pth - Name: yolox_x_8x8_300e_coco In Collection: YOLOX Config: configs/yolox/yolox_x_8xb8-300e_coco.py Metadata: Training Memory (GB): 28.1 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 50.9 Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_x_8x8_300e_coco/yolox_x_8x8_300e_coco_20211126_140254-1ef88d67.pth - Name: yolox_tiny_8x8_300e_coco In Collection: YOLOX Config: configs/yolox/yolox_tiny_8xb8-300e_coco.py Metadata: Training Memory (GB): 3.5 Epochs: 300 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 32.0 Weights: https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_tiny_8x8_300e_coco/yolox_tiny_8x8_300e_coco_20211124_171234-b4047906.pth