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Collections: |
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- Name: Mask R-CNN |
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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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- Softmax |
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- RPN |
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- Convolution |
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- Dense Connections |
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- FPN |
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- ResNet |
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- RoIAlign |
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Paper: |
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URL: https://arxiv.org/abs/1703.06870v3 |
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Title: "Mask R-CNN" |
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README: configs/mask_rcnn/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/mask_rcnn.py#L6 |
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Version: v2.0.0 |
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Models: |
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- Name: mask_rcnn_r50_caffe_fpn_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 4.3 |
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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: 38.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 34.4 |
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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 |
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- Name: mask_rcnn_r50_fpn_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 4.4 |
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inference time (ms/im): |
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- value: 62.11 |
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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: (800, 1333) |
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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: 38.2 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 34.7 |
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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 |
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- Name: mask_rcnn_r50_fpn_fp16_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r50_fpn_fp16_1x_coco.py |
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Metadata: |
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Training Memory (GB): 3.6 |
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Training Techniques: |
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- SGD with Momentum |
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- Weight Decay |
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- Mixed Precision Training |
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inference time (ms/im): |
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- value: 41.49 |
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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: (800, 1333) |
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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: 38.1 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 34.7 |
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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 |
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- Name: mask_rcnn_r50_fpn_2x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r50_fpn_2x_coco.py |
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Metadata: |
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Training Memory (GB): 4.4 |
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inference time (ms/im): |
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- value: 62.11 |
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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: (800, 1333) |
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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: 39.2 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 35.4 |
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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 |
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- Name: mask_rcnn_r101_caffe_fpn_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_1x_coco.py |
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Metadata: |
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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: 40.4 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 36.4 |
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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 |
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- Name: mask_rcnn_r101_fpn_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 6.4 |
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inference time (ms/im): |
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- value: 74.07 |
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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: (800, 1333) |
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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: 40.0 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 36.1 |
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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 |
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- Name: mask_rcnn_r101_fpn_2x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r101_fpn_2x_coco.py |
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Metadata: |
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Training Memory (GB): 6.4 |
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inference time (ms/im): |
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- value: 74.07 |
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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: (800, 1333) |
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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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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 36.6 |
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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 |
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- Name: mask_rcnn_x101_32x4d_fpn_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 7.6 |
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inference time (ms/im): |
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- value: 88.5 |
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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: (800, 1333) |
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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: 41.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.5 |
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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 |
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- Name: mask_rcnn_x101_32x4d_fpn_2x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco.py |
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Metadata: |
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Training Memory (GB): 7.6 |
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inference time (ms/im): |
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- value: 88.5 |
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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: (800, 1333) |
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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: 42.2 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.8 |
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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 |
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- Name: mask_rcnn_x101_64x4d_fpn_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 10.7 |
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inference time (ms/im): |
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- value: 125 |
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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: (800, 1333) |
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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: 42.8 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.4 |
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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 |
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- Name: mask_rcnn_x101_64x4d_fpn_2x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_2x_coco.py |
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Metadata: |
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Training Memory (GB): 10.7 |
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inference time (ms/im): |
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- value: 125 |
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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: (800, 1333) |
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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: 42.7 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.1 |
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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 |
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- Name: mask_rcnn_x101_32x8d_fpn_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco.py |
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Metadata: |
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Training Memory (GB): 10.6 |
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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: 42.8 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.3 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco/mask_rcnn_x101_32x8d_fpn_1x_coco_20220630_173841-0aaf329e.pth |
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- Name: mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco.py |
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Metadata: |
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Training Memory (GB): 4.3 |
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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: 40.3 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 36.5 |
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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 |
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- Name: mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_mstrain-poly_3x_coco.py |
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Metadata: |
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Training Memory (GB): 4.3 |
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Epochs: 36 |
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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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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.0 |
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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 |
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- Name: mask_rcnn_r50_fpn_mstrain-poly_3x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r50_fpn_mstrain-poly_3x_coco.py |
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Metadata: |
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Training Memory (GB): 4.1 |
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Epochs: 36 |
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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: 40.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 37.1 |
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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 |
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- Name: mask_rcnn_r101_fpn_mstrain-poly_3x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r101_fpn_mstrain-poly_3x_coco.py |
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Metadata: |
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Training Memory (GB): 6.1 |
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Epochs: 36 |
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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: 42.7 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.5 |
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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 |
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- Name: mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco.py |
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Metadata: |
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Training Memory (GB): 5.9 |
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Epochs: 36 |
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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: 42.9 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 38.5 |
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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 |
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- Name: mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco.py |
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Metadata: |
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Training Memory (GB): 7.3 |
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Epochs: 36 |
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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: 43.6 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 39.0 |
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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 |
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- Name: mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco.py |
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Metadata: |
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Training Memory (GB): 10.4 |
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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: 43.4 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 39.0 |
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Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco_20220630_170346-b4637974.pth |
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- Name: mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py |
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Metadata: |
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Training Memory (GB): 10.3 |
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Epochs: 36 |
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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: 44.3 |
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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 |
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|
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- Name: mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco |
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In Collection: Mask R-CNN |
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Config: configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco.py |
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Metadata: |
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Epochs: 36 |
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Training Memory (GB): 10.4 |
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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: 44.5 |
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- Task: Instance Segmentation |
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Dataset: COCO |
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Metrics: |
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mask AP: 39.7 |
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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 |
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