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Collections: |
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- Name: YOLOv5 |
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Metadata: |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Nesterov |
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- Weight Decay |
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- AMP |
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- Synchronize BN |
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Training Resources: 8x A100 GPUs |
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Architecture: |
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- CSPDarkNet |
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- PAFPN |
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README: configs/yolov5/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmyolo/blob/v0.1.0/mmyolo/models/detectors/yolo_detector.py#L12 |
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Version: v0.1.0 |
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- Name: YOLOv5_VOC |
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Metadata: |
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Training Data: VOC |
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Training Techniques: |
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- SGD with Nesterov |
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- Weight Decay |
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- AMP |
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Training Resources: 1x A100 GPU |
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Architecture: |
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- CSPDarkNet |
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- PAFPN |
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README: configs/yolov5/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmyolo/blob/v0.1.0/mmyolo/models/detectors/yolo_detector.py#L12 |
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Version: v0.1.0 |
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Models: |
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- Name: yolov5_n-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_n-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 1.5 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 28.0 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_n-v61_syncbn_fast_8xb16-300e_coco/yolov5_n-v61_syncbn_fast_8xb16-300e_coco_20220919_090739-b804c1ad.pth |
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- Name: yolov5_s-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_s-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 2.7 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 37.7 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_s-v61_syncbn_fast_8xb16-300e_coco/yolov5_s-v61_syncbn_fast_8xb16-300e_coco_20220918_084700-86e02187.pth |
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- Name: yolov5_m-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_m-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 5.0 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 45.3 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_m-v61_syncbn_fast_8xb16-300e_coco/yolov5_m-v61_syncbn_fast_8xb16-300e_coco_20220917_204944-516a710f.pth |
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- Name: yolov5_l-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_l-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 8.1 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 48.8 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_l-v61_syncbn_fast_8xb16-300e_coco/yolov5_l-v61_syncbn_fast_8xb16-300e_coco_20220917_031007-096ef0eb.pth |
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- Name: yolov5_x-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_x-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 12.2 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 50.2 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_x-v61_syncbn_fast_8xb16-300e_coco/yolov5_x-v61_syncbn_fast_8xb16-300e_coco_20230305_152943-00776a4b.pth |
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- Name: yolov5_n-p6-v62_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_n-p6-v62_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 5.8 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 35.9 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_n-p6-v62_syncbn_fast_8xb16-300e_coco/yolov5_n-p6-v62_syncbn_fast_8xb16-300e_coco_20221027_224705-d493c5f3.pth |
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- Name: yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 10.5 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 44.4 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco/yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco_20221027_215044-58865c19.pth |
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- Name: yolov5_m-p6-v62_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_m-p6-v62_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 19.1 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 51.3 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_m-p6-v62_syncbn_fast_8xb16-300e_coco/yolov5_m-p6-v62_syncbn_fast_8xb16-300e_coco_20221027_230453-49564d58.pth |
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- Name: yolov5_l-p6-v62_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/yolov5_l-p6-v62_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 30.5 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 53.7 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_l-p6-v62_syncbn_fast_8xb16-300e_coco/yolov5_l-p6-v62_syncbn_fast_8xb16-300e_coco_20221027_234308-7a2ba6bf.pth |
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- Name: yolov5_n-v61_fast_1xb64-50e_voc |
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In Collection: YOLOv5_VOC |
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Config: configs/yolov5/voc/yolov5_n-v61_fast_1xb64-50e_voc.py |
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Metadata: |
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Training Memory (GB): 3.5 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 51.2 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_n-v61_fast_1xb64-50e_voc/yolov5_n-v61_fast_1xb64-50e_voc_20221017_234254-f1493430.pth |
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- Name: yolov5_s-v61_fast_1xb64-50e_voc |
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In Collection: YOLOv5_VOC |
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Config: configs/yolov5/voc/yolov5_s-v61_fast_1xb64-50e_voc.py |
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Metadata: |
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Training Memory (GB): 6.5 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 62.7 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_s-v61_fast_1xb64-50e_voc/yolov5_s-v61_fast_1xb64-50e_voc_20221017_234156-0009b33e.pth |
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- Name: yolov5_m-v61_fast_1xb64-50e_voc |
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In Collection: YOLOv5_VOC |
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Config: configs/yolov5/voc/yolov5_m-v61_fast_1xb64-50e_voc.py |
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Metadata: |
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Training Memory (GB): 12.0 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 70.1 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_m-v61_fast_1xb64-50e_voc/yolov5_m-v61_fast_1xb64-50e_voc_20221017_114138-815c143a.pth |
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- Name: yolov5_l-v61_fast_1xb32-50e_voc |
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In Collection: YOLOv5_VOC |
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Config: configs/yolov5/voc/yolov5_l-v61_fast_1xb32-50e_voc.py |
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Metadata: |
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Training Memory (GB): 10.0 |
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Epochs: 50 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 73.1 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/yolov5_l-v61_fast_1xb32-50e_voc/yolov5_l-v61_fast_1xb32-50e_voc_20221017_045500-edc7e0d8.pth |
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- Name: yolov5_n_mask-refine-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/mask_refine/yolov5_n_mask-refine-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 1.5 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 28.0 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/mask_refine/yolov5_n_mask-refine-v61_syncbn_fast_8xb16-300e_coco/yolov5_n_mask-refine-v61_syncbn_fast_8xb16-300e_coco_20230305_152706-712fb1b2.pth |
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- Name: yolov5_s_mask-refine-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/mask_refine/yolov5_s_mask-refine-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 2.7 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 38.0 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/mask_refine/yolov5_s_mask-refine-v61_syncbn_fast_8xb16-300e_coco/yolov5_s_mask-refine-v61_syncbn_fast_8xb16-300e_coco_20230304_033134-8e0cd271.pth |
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- Name: yolov5_m_mask-refine-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/mask_refine/yolov5_m_mask-refine-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 5.0 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 45.3 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/mask_refine/yolov5_m_mask-refine-v61_syncbn_fast_8xb16-300e_coco/yolov5_m_mask-refine-v61_syncbn_fast_8xb16-300e_coco_20230305_153946-44e96155.pth |
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- Name: yolov5_l_mask-refine-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/mask_refine/yolov5_l_mask-refine-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 8.1 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 49.3 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/mask_refine/yolov5_l_mask-refine-v61_syncbn_fast_8xb16-300e_coco/yolov5_l_mask-refine-v61_syncbn_fast_8xb16-300e_coco_20230305_154301-2c1d912a.pth |
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- Name: yolov5_x_mask-refine-v61_syncbn_fast_8xb16-300e_coco |
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In Collection: YOLOv5 |
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Config: configs/yolov5/mask_refine/yolov5_x_mask-refine-v61_syncbn_fast_8xb16-300e_coco.py |
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Metadata: |
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Training Memory (GB): 12.2 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 50.9 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/mask_refine/yolov5_x_mask-refine-v61_syncbn_fast_8xb16-300e_coco/yolov5_x_mask-refine-v61_syncbn_fast_8xb16-300e_coco_20230305_154321-07edeb62.pth |
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- Name: yolov5_ins_n-v61_syncbn_fast_8xb16-300e_coco_instance |
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In Collection: YOLOv5 |
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Config: configs/yolov5/ins_seg/yolov5_ins_n-v61_syncbn_fast_8xb16-300e_coco_instance.py |
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Metadata: |
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Training Memory (GB): 3.3 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 27.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 23.7 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/ins_seg/yolov5_ins_n-v61_syncbn_fast_8xb16-300e_coco_instance/yolov5_ins_n-v61_syncbn_fast_8xb16-300e_coco_instance_20230424_104807-84cc9240.pth |
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- Name: yolov5_ins_s-v61_syncbn_fast_8xb16-300e_coco_instance |
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In Collection: YOLOv5 |
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Config: configs/yolov5/ins_seg/yolov5_ins_s-v61_syncbn_fast_8xb16-300e_coco_instance.py |
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Metadata: |
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Training Memory (GB): 4.8 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 38.1 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 32.0 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/ins_seg/yolov5_ins_s-v61_syncbn_fast_8xb16-300e_coco_instance/yolov5_ins_s-v61_syncbn_fast_8xb16-300e_coco_instance_20230426_012542-3e570436.pth |
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- Name: yolov5_ins_s-v61_syncbn_fast_non_overlap_8xb16-300e_coco_instance |
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In Collection: YOLOv5 |
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Config: configs/yolov5/ins_seg/yolov5_ins_s-v61_syncbn_fast_non_overlap_8xb16-300e_coco_instance.py |
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Metadata: |
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Training Memory (GB): 4.8 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 38.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 32.1 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/ins_seg/yolov5_ins_s-v61_syncbn_fast_non_overlap_8xb16-300e_coco_instance/yolov5_ins_s-v61_syncbn_fast_non_overlap_8xb16-300e_coco_instance_20230424_104642-6780d34e.pth |
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- Name: yolov5_ins_m-v61_syncbn_fast_8xb16-300e_coco_instance |
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In Collection: YOLOv5 |
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Config: configs/yolov5/ins_seg/yolov5_ins_m-v61_syncbn_fast_8xb16-300e_coco_instance.py |
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Metadata: |
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Training Memory (GB): 7.3 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 45.1 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.3 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/ins_seg/yolov5_ins_m-v61_syncbn_fast_8xb16-300e_coco_instance/yolov5_ins_m-v61_syncbn_fast_8xb16-300e_coco_instance_20230424_111529-ef5ba1a9.pth |
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- Name: yolov5_ins_l-v61_syncbn_fast_8xb16-300e_coco_instance |
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In Collection: YOLOv5 |
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Config: configs/yolov5/ins_seg/yolov5_ins_l-v61_syncbn_fast_8xb16-300e_coco_instance.py |
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Metadata: |
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Training Memory (GB): 10.7 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 48.8 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 39.9 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/ins_seg/yolov5_ins_l-v61_syncbn_fast_8xb16-300e_coco_instance/yolov5_ins_l-v61_syncbn_fast_8xb16-300e_coco_instance_20230508_104049-daa09f70.pth |
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- Name: yolov5_ins_x-v61_syncbn_fast_8xb16-300e_coco_instance |
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In Collection: YOLOv5 |
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Config: configs/yolov5/ins_seg/yolov5_ins_x-v61_syncbn_fast_8xb16-300e_coco_instance.py |
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Metadata: |
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Training Memory (GB): 15.0 |
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Epochs: 300 |
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Results: |
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- Task: Object Detection |
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Dataset: COCO |
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Metrics: |
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box AP: 50.6 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 41.4 |
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Weights: https://download.openmmlab.com/mmyolo/v0/yolov5/ins_seg/yolov5_ins_x-v61_syncbn_fast_8xb16-300e_coco_instance/yolov5_ins_x-v61_syncbn_fast_8xb16-300e_coco_instance_20230508_103925-a260c798.pth |
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