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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 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