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- 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
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