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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': image
            '1': mask
  splits:
    - name: train
      num_bytes: 1223473700.216
      num_examples: 33412
    - name: test
      num_bytes: 86320426
      num_examples: 2000
  download_size: 797318222
  dataset_size: 1309794126.216
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Dataset Card for Dataset Name

We used the \href{https://arxiv.org/abs/1503.02391}{ATR Dataset} for this task. The Active Template Regression (ATR) dataset comprises 18 semantic category labels, encompassing items such as face, sunglasses, hat, scarf, hair, upper clothes, left arm, right arm, belt, pants, left leg, right leg, skirt, left shoe, right shoe, bag, dress, and background. A total of 17,700 images were incorporated into the ATR dataset. Following the approach outlined in \cite{zhang2020correlating}, 16,000 images were designated for training, 1,000 for testing, and 700 for validation.

Dataset Details

Dataset Description

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