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metafile.yml
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Collections:
- Name: Mask R-CNN
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- Softmax
- RPN
- Convolution
- Dense Connections
- FPN
- ResNet
- RoIAlign
Paper:
URL: https://arxiv.org/abs/1703.06870v3
Title: "Mask R-CNN"
README: configs/mask_rcnn/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/mask_rcnn.py#L6
Version: v2.0.0
Models:
- Name: mask_rcnn_r50_caffe_fpn_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_1x_coco.py
Metadata:
Training Memory (GB): 4.3
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.0
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 34.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_caffe_fpn_1x_coco/mask_rcnn_r50_caffe_fpn_1x_coco_bbox_mAP-0.38__segm_mAP-0.344_20200504_231812-0ebd1859.pth
- Name: mask_rcnn_r50_fpn_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py
Metadata:
Training Memory (GB): 4.4
inference time (ms/im):
- value: 62.11
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 34.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_1x_coco/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth
- Name: mask_rcnn_r50_fpn_fp16_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r50_fpn_fp16_1x_coco.py
Metadata:
Training Memory (GB): 3.6
Training Techniques:
- SGD with Momentum
- Weight Decay
- Mixed Precision Training
inference time (ms/im):
- value: 41.49
hardware: V100
backend: PyTorch
batch size: 1
mode: FP16
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.1
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 34.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/fp16/mask_rcnn_r50_fpn_fp16_1x_coco/mask_rcnn_r50_fpn_fp16_1x_coco_20200205-59faf7e4.pth
- Name: mask_rcnn_r50_fpn_2x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.py
Metadata:
Training Memory (GB): 4.4
inference time (ms/im):
- value: 62.11
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 39.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 35.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_2x_coco/mask_rcnn_r50_fpn_2x_coco_bbox_mAP-0.392__segm_mAP-0.354_20200505_003907-3e542a40.pth
- Name: mask_rcnn_r101_caffe_fpn_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_1x_coco.py
Metadata:
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.4
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_caffe_fpn_1x_coco/mask_rcnn_r101_caffe_fpn_1x_coco_20200601_095758-805e06c1.pth
- Name: mask_rcnn_r101_fpn_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py
Metadata:
Training Memory (GB): 6.4
inference time (ms/im):
- value: 74.07
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.0
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_fpn_1x_coco/mask_rcnn_r101_fpn_1x_coco_20200204-1efe0ed5.pth
- Name: mask_rcnn_r101_fpn_2x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r101_fpn_2x_coco.py
Metadata:
Training Memory (GB): 6.4
inference time (ms/im):
- value: 74.07
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_fpn_2x_coco/mask_rcnn_r101_fpn_2x_coco_bbox_mAP-0.408__segm_mAP-0.366_20200505_071027-14b391c7.pth
- Name: mask_rcnn_x101_32x4d_fpn_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 7.6
inference time (ms/im):
- value: 88.5
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.9
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 37.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x4d_fpn_1x_coco/mask_rcnn_x101_32x4d_fpn_1x_coco_20200205-478d0b67.pth
- Name: mask_rcnn_x101_32x4d_fpn_2x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco.py
Metadata:
Training Memory (GB): 7.6
inference time (ms/im):
- value: 88.5
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 37.8
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco/mask_rcnn_x101_32x4d_fpn_2x_coco_bbox_mAP-0.422__segm_mAP-0.378_20200506_004702-faef898c.pth
- Name: mask_rcnn_x101_64x4d_fpn_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 10.7
inference time (ms/im):
- value: 125
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_1x_coco/mask_rcnn_x101_64x4d_fpn_1x_coco_20200201-9352eb0d.pth
- Name: mask_rcnn_x101_64x4d_fpn_2x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_2x_coco.py
Metadata:
Training Memory (GB): 10.7
inference time (ms/im):
- value: 125
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.7
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_2x_coco/mask_rcnn_x101_64x4d_fpn_2x_coco_20200509_224208-39d6f70c.pth
- Name: mask_rcnn_x101_32x8d_fpn_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 10.7
inference time (ms/im):
- value: 125
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.3
- Name: mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py
Metadata:
Training Memory (GB): 4.3
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.3
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco_bbox_mAP-0.403__segm_mAP-0.365_20200504_231822-a75c98ce.pth
- Name: mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py
Metadata:
Training Memory (GB): 4.3
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 37.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco_bbox_mAP-0.408__segm_mAP-0.37_20200504_163245-42aa3d00.pth
- Name: mask_rcnn_r50_fpn_mstrain-poly_3x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r50_fpn_mstrain-poly_3x_coco.py
Metadata:
Training Memory (GB): 4.1
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.9
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 37.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_mstrain-poly_3x_coco/mask_rcnn_r50_fpn_mstrain-poly_3x_coco_20210524_201154-21b550bb.pth
- Name: mask_rcnn_r101_fpn_mstrain-poly_3x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r101_fpn_mstrain-poly_3x_coco.py
Metadata:
Training Memory (GB): 6.1
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.7
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_fpn_mstrain-poly_3x_coco/mask_rcnn_r101_fpn_mstrain-poly_3x_coco_20210524_200244-5675c317.pth
- Name: mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco.py
Metadata:
Training Memory (GB): 5.9
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.9
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco_20210526_132339-3c33ce02.pth
- Name: mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco.py
Metadata:
Training Memory (GB): 7.3
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.6
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 39.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco_20210524_201410-abcd7859.pth
- Name: mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco.py
Metadata:
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.6
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 39.0
- Name: mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco
Metadata:
Training Memory (GB): 10.3
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.3
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco_20210607_161042-8bd2c639.pth
- Name: mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco
In Collection: Mask R-CNN
Config: configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco.py
Metadata:
Epochs: 36
Training Memory (GB): 10.4
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.5
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 39.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco_20210526_120447-c376f129.pth