configs/nuimages/metafile.yml

Collections:
  - Name: Mask R-CNN
    Metadata:
      Training Data: nuImages
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x TITAN Xp
      Architecture:
        - Softmax
        - RPN
        - Convolution
        - Dense Connections
        - FPN
        - ResNet
        - RoIAlign
    Paper:
      URL: https://arxiv.org/abs/1703.06870v3
      Title: "Mask R-CNN"
    README: configs/nuimages/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_fpn_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/mask-rcnn_r50_fpn_1x_nuim.py
    Metadata:
      Training Memory (GB): 7.4
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 47.8
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 38.4
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_fpn_1x_nuim/mask_rcnn_r50_fpn_1x_nuim_20201008_195238-e99f5182.pth

  - Name: mask-rcnn_r50_fpn_coco-2x_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/mask-rcnn_r50_fpn_coco-2x_1x_nuim.py
    Metadata:
      Training Memory (GB): 7.4
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 49.7
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 40.5
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_fpn_coco-2x_1x_nuim/mask_rcnn_r50_fpn_coco-2x_1x_nuim_20201008_195238-b1742a60.pth

  - Name: mask-rcnn_r50_caffe_fpn_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_1x_nuim.py
    Metadata:
      Training Memory (GB): 7.0
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 47.7
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 38.2
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_1x_nuim/

  - Name: mask-rcnn_r50_caffe_fpn_coco-3x_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_coco-3x_1x_nuim.py
    Metadata:
      Training Memory (GB): 7.0
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 49.9
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 40.8
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim/mask_rcnn_r50_caffe_fpn_coco-3x_1x_nuim_20201008_195305-661a992e.pth

  - Name: mask-rcnn_r50_caffe_fpn_coco-3x_20e_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/mask-rcnn_r50_caffe_fpn_coco-3x_20e_nuim.py
    Metadata:
      Training Memory (GB): 7.0
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 50.6
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 41.3
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim/mask_rcnn_r50_caffe_fpn_coco-3x_20e_nuim_20201009_125002-5529442c.pth

  - Name: mask-rcnn_r101_fpn_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/mask-rcnn_r101_fpn_1x_nuim.py
    Metadata:
      Training Memory (GB): 10.9
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 48.9
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 39.1
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_r101_fpn_1x_nuim/mask_rcnn_r101_fpn_1x_nuim_20201024_134803-65c7623a.pth

  - Name: mask-rcnn_x101_32x4d_fpn_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/mask-rcnn_x101_32x4d_fpn_1x_nuim.py
    Metadata:
      Training Memory (GB): 13.3
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 50.4
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 40.5
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/mask_rcnn_x101_32x4d_fpn_1x_nuim/mask_rcnn_x101_32x4d_fpn_1x_nuim_20201024_135741-b699ab37.pth

  - Name: cascade-mask-rcnn_r50_fpn_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_1x_nuim.py
    Metadata:
      Training Memory (GB): 8.9
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 50.8
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 40.4
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_1x_nuim/cascade_mask_rcnn_r50_fpn_1x_nuim_20201008_195342-1147c036.pth

  - Name: cascade-mask-rcnn_r50_fpn_coco-20e_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_coco-20e_1x_nuim.py
    Metadata:
      Training Memory (GB): 8.9
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 52.8
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 42.2
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_1x_nuim_20201009_124158-ad0540e3.pth

  - Name: cascade-mask-rcnn_r50_fpn_coco-20e_20e_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/cascade-mask-rcnn_r50_fpn_coco-20e_20e_nuim.py
    Metadata:
      Training Memory (GB): 8.9
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 52.8
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 42.2
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim/cascade_mask_rcnn_r50_fpn_coco-20e_20e_nuim_20201009_124951-40963960.pth

  - Name: cascade-mask-rcnn_r101_fpn_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/cascade-mask-rcnn_r101_fpn_1x_nuim.py
    Metadata:
      Training Memory (GB): 12.5
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 51.5
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 40.7
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_r101_fpn_1x_nuim/cascade_mask_rcnn_r101_fpn_1x_nuim_20201024_134804-45215b1e.pth

  - Name: cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/cascade-mask-rcnn_x101_32x4d_fpn_1x_nuim.py
    Metadata:
      Training Memory (GB): 14.9
      Training Resources: 8x TITAN Xp
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 52.8
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 41.6
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim/cascade_mask_rcnn_x101_32x4d_fpn_1x_nuim_20201024_135753-e0e49778.pth

  - Name: htc_r50_fpn_coco-20e_1x_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/htc_r50_fpn_coco-20e_1x_nuim.py
    Metadata:
      Training Memory (GB): 11.6
      Training Resources: 8x V100 GPUs
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 53.8
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 43.8
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_r50_fpn_coco-20e_1x_nuim/htc_r50_fpn_coco-20e_1x_nuim_20201010_070203-0b53a65e.pth

  - Name: htc_r50_fpn_coco-20e_20e_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/htc_r50_fpn_coco-20e_20e_nuim.py
    Metadata:
      Training Memory (GB): 11.6
      Training Resources: 8x V100 GPUs
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 54.8
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 44.4
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_r50_fpn_coco-20e_20e_nuim/htc_r50_fpn_coco-20e_20e_nuim_20201008_211415-d6c60a2c.pth

  - Name: htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim
    In Collection: Mask R-CNN
    Config: configs/nuimages/htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim.py
    Metadata:
      Training Memory (GB): 13.3
      Training Resources: 8x V100 GPUs
    Results:
      - Task: Object Detection
        Dataset: nuImages
        Metrics:
          Box AP: 57.3
      - Task: Instance Segmentation
        Dataset: nuImages
        Metrics:
          Mask AP: 46.4
    Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/nuimages_semseg/htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim/htc_x101_64x4d_fpn_dconv_c3-c5_coco-20e_16x1_20e_nuim_20201008_211222-0b16ac4b.pth