metafile.yml
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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_8x8_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_8x8_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_8x8_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_8x8_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