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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/mmdetection/blob/v3.0.0rc1/mmdet/models/detectors/rtmdet.py#L6
Version: v3.0.0rc1
Models:
- Name: rtmdet_tiny_8xb32-300e_coco
Alias:
- rtmdet-t
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_tiny_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/mmdetection/v3.0/rtmdet/rtmdet_tiny_8xb32-300e_coco/rtmdet_tiny_8xb32-300e_coco_20220902_112414-78e30dcc.pth
- Name: rtmdet_s_8xb32-300e_coco
Alias:
- rtmdet-s
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_s_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/mmdetection/v3.0/rtmdet/rtmdet_s_8xb32-300e_coco/rtmdet_s_8xb32-300e_coco_20220905_161602-387a891e.pth
- Name: rtmdet_m_8xb32-300e_coco
Alias:
- rtmdet-m
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_m_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/mmdetection/v3.0/rtmdet/rtmdet_m_8xb32-300e_coco/rtmdet_m_8xb32-300e_coco_20220719_112220-229f527c.pth
- Name: rtmdet_l_8xb32-300e_coco
Alias:
- rtmdet-l
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_l_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/mmdetection/v3.0/rtmdet/rtmdet_l_8xb32-300e_coco/rtmdet_l_8xb32-300e_coco_20220719_112030-5a0be7c4.pth
- Name: rtmdet_x_8xb32-300e_coco
Alias:
- rtmdet-x
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_x_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 61.1
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 52.6
Weights: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet_x_8xb32-300e_coco/rtmdet_x_8xb32-300e_coco_20220715_230555-cc79b9ae.pth
- Name: rtmdet-ins_tiny_8xb32-300e_coco
Alias:
- rtmdet-ins-t
In Collection: RTMDet
Config: configs/rtmdet/rtmdet-ins_tiny_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 18.4
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.5
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 35.4
Weights: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet-ins_tiny_8xb32-300e_coco/rtmdet-ins_tiny_8xb32-300e_coco_20221130_151727-ec670f7e.pth
- Name: rtmdet-ins_s_8xb32-300e_coco
Alias:
- rtmdet-ins-s
In Collection: RTMDet
Config: configs/rtmdet/rtmdet-ins_s_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 27.6
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.0
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.7
Weights: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet-ins_s_8xb32-300e_coco/rtmdet-ins_s_8xb32-300e_coco_20221121_212604-fdc5d7ec.pth
- Name: rtmdet-ins_m_8xb32-300e_coco
Alias:
- rtmdet-ins-m
In Collection: RTMDet
Config: configs/rtmdet/rtmdet-ins_m_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 42.5
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 48.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 42.1
Weights: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet-ins_m_8xb32-300e_coco/rtmdet-ins_m_8xb32-300e_coco_20221123_001039-6eba602e.pth
- Name: rtmdet-ins_l_8xb32-300e_coco
Alias:
- rtmdet-ins-l
In Collection: RTMDet
Config: configs/rtmdet/rtmdet-ins_l_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 59.8
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 51.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 43.7
Weights: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet-ins_l_8xb32-300e_coco/rtmdet-ins_l_8xb32-300e_coco_20221124_103237-78d1d652.pth
- Name: rtmdet-ins_x_8xb16-300e_coco
Alias:
- rtmdet-ins-x
In Collection: RTMDet
Config: configs/rtmdet/rtmdet-ins_x_8xb16-300e_coco.py
Metadata:
Training Memory (GB): 33.7
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 52.4
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 44.6
Weights: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet-ins_x_8xb16-300e_coco/rtmdet-ins_x_8xb16-300e_coco_20221124_111313-33d4595b.pth
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