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metafile.yml
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Collections:
- Name: Mask Scoring R-CNN
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x NVIDIA V100 GPUs
Architecture:
- RPN
- FPN
- ResNet
- RoIAlign
Paper: https://arxiv.org/abs/1903.00241
README: configs/ms_rcnn/README.md
Models:
- Name: ms_rcnn_r50_caffe_fpn_1x_coco
In Collection: Mask Scoring R-CNN
Config: configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 4.5
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.0
Weights: http://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco/ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth
- Name: ms_rcnn_r50_caffe_fpn_2x_coco
In Collection: Mask Scoring R-CNN
Config: configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco.py
Metadata:
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.3
Weights: http://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco/ms_rcnn_r50_caffe_fpn_2x_coco_bbox_mAP-0.388__segm_mAP-0.363_20200506_004738-ee87b137.pth
- Name: ms_rcnn_r101_caffe_fpn_1x_coco
In Collection: Mask Scoring R-CNN
Config: configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 6.5
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.4
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 37.6
Weights: http://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x_coco/ms_rcnn_r101_caffe_fpn_1x_coco_bbox_mAP-0.404__segm_mAP-0.376_20200506_004755-b9b12a37.pth
- Name: ms_rcnn_r101_caffe_fpn_2x_coco
In Collection: Mask Scoring R-CNN
Config: configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco.py
Metadata:
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.1
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.1
Weights: http://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco/ms_rcnn_r101_caffe_fpn_2x_coco_bbox_mAP-0.411__segm_mAP-0.381_20200506_011134-5f3cc74f.pth
- Name: ms_rcnn_x101_32x4d_fpn_1x_coco
In Collection: Mask Scoring R-CNN
Config: configs/ms_rcnn/ms_rcnn_x101_32x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 7.9
inference time (s/im): 0.09091
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.7
Weights: http://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_32x4d_fpn_1x_coco/ms_rcnn_x101_32x4d_fpn_1x_coco_20200206-81fd1740.pth
- Name: ms_rcnn_x101_64x4d_fpn_1x_coco
In Collection: Mask Scoring R-CNN
Config: configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 11.0
inference time (s/im): 0.125
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.0
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 39.5
Weights: http://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x_coco/ms_rcnn_x101_64x4d_fpn_1x_coco_20200206-86ba88d2.pth
- Name: ms_rcnn_x101_64x4d_fpn_2x_coco
In Collection: Mask Scoring R-CNN
Config: configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco.py
Metadata:
Training Memory (GB): 11.0
inference time (s/im): 0.125
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.6
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 39.5
Weights: http://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco/ms_rcnn_x101_64x4d_fpn_2x_coco_20200308-02a445e2.pth