Datasets:
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README.md
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dataset_size: 84750.0
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# Dataset Card for Dataset Name
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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### Supported Tasks and Leaderboards
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vto
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### Languages
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en
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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Image (pose), St image, Gt image, caption
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### Data Splits
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Train, Test
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## Dataset Creation
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### Curation Rationale
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Converted from DeepFashion Dataset (currently just a test of 1 cross-pose pair)
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### Source Data
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DeepFashion Dataset
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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dataset_size: 84750.0
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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.
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