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hagrid-mediapipe-hands

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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: conditioning_image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 111989279184.95
      num_examples: 507050
  download_size: 112032639870
  dataset_size: 111989279184.95

Dataset Card for "hagrid-mediapipe-hands"

This dataset is designed to train a ControlNet with human hands. It includes hand landmarks detected by MediaPipe(for more information refer to: https://developers.google.com/mediapipe/solutions/vision/hand_landmarker). The source image data is from HaGRID dataset and we use a modified version from Kaggle(https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p) to build this dataset. There are 507050 data samples in total and the image resolution is 512x512.