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--- |
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license: mit |
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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: label |
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dtype: |
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class_label: |
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names: |
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'0': gt |
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'1': pose |
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'2': st |
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- name: caption |
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dtype: string |
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- name: gtimage |
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dtype: image |
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- name: stimage |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 1702123872.04 |
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num_examples: 15764 |
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- name: test |
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num_bytes: 144819992.92 |
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num_examples: 1346 |
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download_size: 1762884199 |
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dataset_size: 1846943864.96 |
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task_categories: |
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- image-to-text |
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- image-captioning |
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- keypoint-estimation |
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--- |
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### Dataset Summary |
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The data is based on DeepFashion; turned into image pairs of the same person in same garment with different poses. |
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This won't preserve the person/garment at all but just want to process the data first and see what kind of controlnet it can train as an exercise for training a controlnet. |
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The controlnet_aux's openpose detector sometimes return black images for occluded human images so there won't be a lot of valid image pairs. |
