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metafile.yml
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Collections:
- Name: PAFPN
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- PAFPN
Paper:
URL: https://arxiv.org/abs/1803.01534
Title: 'Path Aggregation Network for Instance Segmentation'
README: configs/pafpn/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/necks/pafpn.py#L11
Version: v2.0.0
Models:
- Name: faster-rcnn_r50_pafpn_1x_coco
In Collection: PAFPN
Config: configs/pafpn/faster-rcnn_r50_pafpn_1x_coco.py
Metadata:
Training Memory (GB): 4.0
inference time (ms/im):
- value: 58.14
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/pafpn/faster_rcnn_r50_pafpn_1x_coco/faster_rcnn_r50_pafpn_1x_coco_bbox_mAP-0.375_20200503_105836-b7b4b9bd.pth