mmdetection/configs/yolact/metafile.yml

Collections:
  - Name: YOLACT
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - FPN
        - ResNet
    Paper:
      URL: https://arxiv.org/abs/1904.02689
      Title: 'YOLACT: Real-time Instance Segmentation'
    README: configs/yolact/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.5.0/mmdet/models/detectors/yolact.py#L9
      Version: v2.5.0

Models:
  - Name: yolact_r50_1x8_coco
    In Collection: YOLACT
    Config: configs/yolact/yolact_r50_1xb8-55e_coco.py
    Metadata:
      Training Resources: 1x V100 GPU
      Batch Size: 8
      Epochs: 55
      inference time (ms/im):
        - value: 23.53
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (550, 550)
    Results:
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 29.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/yolact/yolact_r50_1x8_coco/yolact_r50_1x8_coco_20200908-f38d58df.pth

  - Name: yolact_r50_8x8_coco
    In Collection: YOLACT
    Config: configs/yolact/yolact_r50_8xb8-55e_coco.py
    Metadata:
      Batch Size: 64
      Epochs: 55
      inference time (ms/im):
        - value: 23.53
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (550, 550)
    Results:
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 28.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/yolact/yolact_r50_8x8_coco/yolact_r50_8x8_coco_20200908-ca34f5db.pth

  - Name: yolact_r101_1x8_coco
    In Collection: YOLACT
    Config: configs/yolact/yolact_r101_1xb8-55e_coco.py
    Metadata:
      Training Resources: 1x V100 GPU
      Batch Size: 8
      Epochs: 55
      inference time (ms/im):
        - value: 29.85
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (550, 550)
    Results:
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 30.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/yolact/yolact_r101_1x8_coco/yolact_r101_1x8_coco_20200908-4cbe9101.pth