Datasets:

rdyzakya
/

Progressive-Mirror-Detection

dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype: image
  splits:
    - name: train
      num_bytes: 168179584.5
      num_examples: 4076
    - name: validation
      num_bytes: 239947212.14
      num_examples: 1020
    - name: test
      num_bytes: 171513671
      num_examples: 572
  download_size: 1618850322
  dataset_size: 579640467.64
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - image-segmentation
size_categories:
  - 1K<n<10K

Link

Paper: https://www.cs.cityu.edu.hk/~rynson/papers/cvpr20c.pdf
Project page: https://jiaying.link/cvpr2020-pgd/

Split info

We use the splitted version of the dataset. We split the train to train and validation with the ratio 80% and 20% respectively. If you want to use the original split composition, just combine train and validation.

Dataset info

We found that there is a missing file in ADE20K test set. We found the missing file in the combined zip file in the project page.

License info

Please refer to the paper and project page for the details.