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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
- Name: Rotated_RTMDet
Metadata:
Training Data: DOTAv1.0
Training Techniques:
- AdamW
- Flat Cosine Annealing
Training Resources: 1x 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_fast_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_tiny_syncbn_fast_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 11.7
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.0
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_tiny_syncbn_fast_8xb32-300e_coco/rtmdet_tiny_syncbn_fast_8xb32-300e_coco_20230102_140117-dbb1dc83.pth
- Name: kd_tiny_rtmdet_s_neck_300e_coco
In Collection: RTMDet
Config: configs/rtmdet/distillation/kd_tiny_rtmdet_s_neck_300e_coco.py
Metadata:
Training Memory (GB): 11.9
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.8
Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_tiny_rtmdet_s_neck_300e_coco/kd_tiny_rtmdet_s_neck_300e_coco_20230213_104240-e1e4197c.pth
- Name: rtmdet_s_syncbn_fast_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 15.9
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.6
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco/rtmdet_s_syncbn_fast_8xb32-300e_coco_20221230_182329-0a8c901a.pth
- Name: kd_s_rtmdet_m_neck_300e_coco
In Collection: RTMDet
Config: configs/rtmdet/distillation/kd_s_rtmdet_m_neck_300e_coco.py
Metadata:
Training Memory (GB): 16.3
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 45.7
Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_s_rtmdet_m_neck_300e_coco/kd_s_rtmdet_m_neck_300e_coco_20230220_140647-446ff003.pth
- Name: rtmdet_m_syncbn_fast_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_m_syncbn_fast_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 27.8
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 49.3
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_m_syncbn_fast_8xb32-300e_coco/rtmdet_m_syncbn_fast_8xb32-300e_coco_20230102_135952-40af4fe8.pth
- Name: kd_m_rtmdet_l_neck_300e_coco
In Collection: RTMDet
Config: configs/rtmdet/distillation/kd_m_rtmdet_l_neck_300e_coco.py
Metadata:
Training Memory (GB): 29.0
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 50.2
Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_m_rtmdet_l_neck_300e_coco/kd_m_rtmdet_l_neck_300e_coco_20230220_141313-b806f503.pth
- Name: rtmdet_l_syncbn_fast_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_l_syncbn_fast_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 43.2
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 51.4
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_l_syncbn_fast_8xb32-300e_coco/rtmdet_l_syncbn_fast_8xb32-300e_coco_20230102_135928-ee3abdc4.pth
- Name: kd_l_rtmdet_x_neck_300e_coco
In Collection: RTMDet
Config: configs/rtmdet/distillation/kd_l_rtmdet_x_neck_300e_coco.py
Metadata:
Training Memory (GB): 45.2
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 52.3
Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_l_rtmdet_x_neck_300e_coco/kd_l_rtmdet_x_neck_300e_coco_20230220_141912-c9979722.pth
- Name: rtmdet_x_syncbn_fast_8xb32-300e_coco
In Collection: RTMDet
Config: configs/rtmdet/rtmdet_x_syncbn_fast_8xb32-300e_coco.py
Metadata:
Training Memory (GB): 63.4
Epochs: 300
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 52.8
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_x_syncbn_fast_8xb32-300e_coco/rtmdet_x_syncbn_fast_8xb32-300e_coco_20221231_100345-b85cd476.pth
- Name: rtmdet-r_tiny_fast_1xb8-36e_dota
In Collection: Rotated_RTMDet
Config: configs/rtmdet/rotated/rtmdet-r_tiny_fast_1xb8-36e_dota.py
Metadata:
Training Memory (GB): 12.7
Epochs: 36
Results:
- Task: Oriented Object Detection
Dataset: DOTAv1.0
Metrics:
mAP: 75.07
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_tiny_fast_1xb8-36e_dota/rtmdet-r_tiny_fast_1xb8-36e_dota_20230228_162210-e8ccfb1c.pth
- Name: rtmdet-r_s_fast_1xb8-36e_dota
In Collection: Rotated_RTMDet
Config: configs/rtmdet/rotated/rtmdet-r_s_fast_1xb8-36e_dota.py
Metadata:
Training Memory (GB): 16.6
Epochs: 36
Results:
- Task: Oriented Object Detection
Dataset: DOTAv1.0
Metrics:
mAP: 77.33
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_s_fast_1xb8-36e_dota/rtmdet-r_s_fast_1xb8-36e_dota_20230224_110307-3946a5aa.pth
- Name: rtmdet-r_m_syncbn_fast_2xb4-36e_dota
In Collection: Rotated_RTMDet
Config: configs/rtmdet/rotated/rtmdet-r_m_syncbn_fast_2xb4-36e_dota.py
Metadata:
Training Resources: 2x A100 GPUs
Training Memory (GB): 10.9
Epochs: 36
Results:
- Task: Oriented Object Detection
Dataset: DOTAv1.0
Metrics:
mAP: 78.43
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_m_syncbn_fast_2xb4-36e_dota/rtmdet-r_m_syncbn_fast_2xb4-36e_dota_20230224_124237-29ae1619.pth
- Name: rtmdet-r_l_syncbn_fast_2xb4-36e_dota
In Collection: Rotated_RTMDet
Config: configs/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-36e_dota.py
Metadata:
Training Resources: 2x A100 GPUs
Training Memory (GB): 16.1
Epochs: 36
Results:
- Task: Oriented Object Detection
Dataset: DOTAv1.0
Metrics:
mAP: 78.66
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-36e_dota/rtmdet-r_l_syncbn_fast_2xb4-36e_dota_20230224_124544-38bc5f08.pth
- Name: rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota
In Collection: Rotated_RTMDet
Config: configs/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota.py
Metadata:
Training Resources: 2x A100 GPUs
Training Memory (GB): 19.6
Epochs: 100
Results:
- Task: Oriented Object Detection
Dataset: DOTAv1.0
Metrics:
mAP: 80.14
Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota/rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota_20230224_124735-ed4ea966.pth
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