---
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: 86320426.0
    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.

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