OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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124 lines
3.9 KiB
124 lines
3.9 KiB
Collections: |
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- Name: YOLOv3 |
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Metadata: |
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Training Data: COCO |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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Training Resources: 8x V100 GPUs |
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Architecture: |
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- DarkNet |
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Paper: |
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URL: https://arxiv.org/abs/1804.02767 |
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Title: 'YOLOv3: An Incremental Improvement' |
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README: configs/yolo/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.4.0/mmdet/models/detectors/yolo.py#L8 |
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Version: v2.4.0 |
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Models: |
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- Name: yolov3_d53_320_273e_coco |
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In Collection: YOLOv3 |
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Config: configs/yolo/yolov3_d53_320_273e_coco.py |
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Metadata: |
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Training Memory (GB): 2.7 |
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inference time (ms/im): |
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- value: 15.65 |
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hardware: V100 |
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backend: PyTorch |
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batch size: 1 |
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mode: FP32 |
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resolution: (320, 320) |
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Epochs: 273 |
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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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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_320_273e_coco/yolov3_d53_320_273e_coco-421362b6.pth |
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- Name: yolov3_d53_mstrain-416_273e_coco |
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In Collection: YOLOv3 |
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Config: configs/yolo/yolov3_d53_mstrain-416_273e_coco.py |
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Metadata: |
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Training Memory (GB): 3.8 |
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inference time (ms/im): |
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- value: 16.34 |
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hardware: V100 |
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backend: PyTorch |
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batch size: 1 |
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mode: FP32 |
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resolution: (416, 416) |
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Epochs: 273 |
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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: 30.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_mstrain-416_273e_coco/yolov3_d53_mstrain-416_273e_coco-2b60fcd9.pth |
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- Name: yolov3_d53_mstrain-608_273e_coco |
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In Collection: YOLOv3 |
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Config: configs/yolo/yolov3_d53_mstrain-608_273e_coco.py |
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Metadata: |
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Training Memory (GB): 7.4 |
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inference time (ms/im): |
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- value: 20.79 |
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hardware: V100 |
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backend: PyTorch |
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batch size: 1 |
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mode: FP32 |
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resolution: (608, 608) |
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Epochs: 273 |
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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: 33.7 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_mstrain-608_273e_coco/yolov3_d53_mstrain-608_273e_coco_20210518_115020-a2c3acb8.pth |
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- Name: yolov3_d53_fp16_mstrain-608_273e_coco |
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In Collection: YOLOv3 |
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Config: configs/yolo/yolov3_d53_fp16_mstrain-608_273e_coco.py |
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Metadata: |
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Training Memory (GB): 4.7 |
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inference time (ms/im): |
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- value: 20.79 |
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hardware: V100 |
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backend: PyTorch |
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batch size: 1 |
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mode: FP16 |
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resolution: (608, 608) |
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Epochs: 273 |
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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: 33.8 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_d53_fp16_mstrain-608_273e_coco/yolov3_d53_fp16_mstrain-608_273e_coco_20210517_213542-4bc34944.pth |
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- Name: yolov3_mobilenetv2_320_300e_coco |
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In Collection: YOLOv3 |
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Config: configs/yolo/yolov3_mobilenetv2_320_300e_coco.py |
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Metadata: |
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Training Memory (GB): 3.2 |
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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: 22.2 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_mobilenetv2_320_300e_coco/yolov3_mobilenetv2_320_300e_coco_20210719_215349-d18dff72.pth |
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- Name: yolov3_mobilenetv2_mstrain-416_300e_coco |
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In Collection: YOLOv3 |
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Config: configs/yolo/yolov3_mobilenetv2_mstrain-416_300e_coco.py |
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Metadata: |
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Training Memory (GB): 5.3 |
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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: 23.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolo/yolov3_mobilenetv2_mstrain-416_300e_coco/yolov3_mobilenetv2_mstrain-416_300e_coco_20210718_010823-f68a07b3.pth
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