OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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147 lines
4.9 KiB
147 lines
4.9 KiB
Collections: |
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- Name: RetinaNet |
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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 NVIDIA V100 GPUs |
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Architecture: |
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- Focal Loss |
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- FPN |
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- ResNet |
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Paper: https://arxiv.org/abs/1708.02002 |
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README: configs/retinanet/README.md |
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Models: |
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- Name: retinanet_r50_caffe_fpn_1x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_r50_caffe_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 3.5 |
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inference time (s/im): 0.05376 |
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Epochs: 12 |
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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: 36.3 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_caffe_fpn_1x_coco/retinanet_r50_caffe_fpn_1x_coco_20200531-f11027c5.pth |
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- Name: retinanet_r50_fpn_1x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_r50_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 3.8 |
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inference time (s/im): 0.05263 |
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Epochs: 12 |
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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: 36.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_1x_coco/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth |
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- Name: retinanet_r50_fpn_2x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_r50_fpn_2x_coco.py |
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Metadata: |
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Epochs: 24 |
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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: 37.4 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_2x_coco/retinanet_r50_fpn_2x_coco_20200131-fdb43119.pth |
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- Name: retinanet_r101_caffe_fpn_1x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_r101_caffe_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 5.5 |
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inference time (s/im): 0.06803 |
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Epochs: 12 |
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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: 38.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r101_caffe_fpn_1x_coco/retinanet_r101_caffe_fpn_1x_coco_20200531-b428fa0f.pth |
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- Name: retinanet_r101_fpn_1x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_r101_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 5.7 |
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inference time (s/im): 0.06667 |
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Epochs: 12 |
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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: 38.5 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r101_fpn_1x_coco/retinanet_r101_fpn_1x_coco_20200130-7a93545f.pth |
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- Name: retinanet_r101_fpn_2x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_r101_fpn_2x_coco.py |
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Metadata: |
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Epochs: 24 |
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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: 38.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r101_fpn_2x_coco/retinanet_r101_fpn_2x_coco_20200131-5560aee8.pth |
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- Name: retinanet_x101_32x4d_fpn_1x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_x101_32x4d_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 7.0 |
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inference time (s/im): 0.08264 |
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Epochs: 12 |
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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: 39.9 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_32x4d_fpn_1x_coco/retinanet_x101_32x4d_fpn_1x_coco_20200130-5c8b7ec4.pth |
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- Name: retinanet_x101_32x4d_fpn_2x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_x101_32x4d_fpn_2x_coco.py |
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Metadata: |
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Epochs: 24 |
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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: 40.1 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_32x4d_fpn_2x_coco/retinanet_x101_32x4d_fpn_2x_coco_20200131-237fc5e1.pth |
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- Name: retinanet_x101_64x4d_fpn_1x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_x101_64x4d_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 10.0 |
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inference time (s/im): 0.11494 |
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Epochs: 12 |
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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: 41.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_64x4d_fpn_1x_coco/retinanet_x101_64x4d_fpn_1x_coco_20200130-366f5af1.pth |
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- Name: retinanet_x101_64x4d_fpn_2x_coco |
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In Collection: RetinaNet |
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Config: configs/retinanet/retinanet_x101_64x4d_fpn_2x_coco.py |
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Metadata: |
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Epochs: 24 |
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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: 40.8 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_64x4d_fpn_2x_coco/retinanet_x101_64x4d_fpn_2x_coco_20200131-bca068ab.pth
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