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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: conditioning_image |
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dtype: image |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 11037324721.0 |
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num_examples: 50000 |
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download_size: 11046953921 |
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dataset_size: 11037324721.0 |
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--- |
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# Dataset Card for "hagrid50k" |
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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). |
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The source image data is from [HaGRID dataset](https://github.com/hukenovs/hagrid) and we use a modified version from Kaggle(https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p) to build this dataset. We randomly select 50k data samples to build this dataset and the caption is generated using BLIP-2 model. |
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