OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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148 lines
4.9 KiB
148 lines
4.9 KiB
4 years ago
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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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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: http://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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