Spaces:
Sleeping
Sleeping
| 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 | |