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metafile.yml
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Collections:
- Name: RTMDet
Metadata:
Training Data: COCO
Training Techniques:
- AdamW
- Flat Cosine Annealing
Training Resources: 8x A100 GPUs
Architecture:
- CSPNeXt
- CSPNeXtPAFPN
README: configs/rtmdet/README.md
Code:
URL: https://github.com/open-mmlab/mmyolo/blob/main/mmyolo/models/detectors/yolo_detector.py#L12
Version: v0.1.1
Models:
- Name: rtmdet_tiny_syncbn_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_tiny_syncbn_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 11.7
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.9
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_tiny_syncbn_8xb32-300e_coco/rtmdet_tiny_syncbn_8xb32-300e_coco_20220902_112414-259f3241.pth
- Name: rtmdet_s_syncbn_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_s_syncbn_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 15.9
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.5
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_s_syncbn_8xb32-300e_coco/rtmdet_s_syncbn_8xb32-300e_coco_20220905_161602-fd1cacb9.pth
- Name: rtmdet_m_syncbn_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_m_syncbn_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 27.8
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 49.1
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_m_syncbn_8xb32-300e_coco/rtmdet_m_syncbn_8xb32-300e_coco_20220924_132959-d9f2e90d.pth
- Name: rtmdet_l_syncbn_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_l_syncbn_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 43.2
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 51.3
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_l_syncbn_8xb32-300e_coco/rtmdet_l_syncbn_8xb32-300e_coco_20220926_150401-40c754b5.pth