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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ dataset_info:
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+ features:
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+ - name: source
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+ dtype: image
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+ - name: mask
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+ dtype: image
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+ - name: target
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+ dtype: image
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+ - name: caption
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+ dtype: string
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+ - name: category
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 89927
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+ - name: validation
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+ num_examples: 4989
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+ - name: test
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+ num_examples: 5009
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+ license: cc-by-nc-4.0
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+ task_categories:
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+ - image-to-image
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+ tags:
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+ - virtual-try-on
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+ - fashion
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+ - clothing
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+ ---
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+
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+ # OpenVTON
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+
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+ A large-scale virtual try-on dataset containing ~100K clothing image pairs with garment masks.
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+
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+ ## Dataset Structure
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+
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+ Each sample contains:
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+ - **source**: Garment image (clothing item)
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+ - **mask**: Garment segmentation mask
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+ - **target**: Person wearing the garment (ground truth)
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+ - **caption**: Text description of the clothing
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+ - **category**: Clothing category (e.g., pants, jeans, shirt)
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+
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+ ## Splits
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+
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+ | Split | Samples |
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+ |-------|---------|
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+ | Train | 89,927 |
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+ | Validation | 4,989 |
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+ | Test | 5,009 |
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+ | **Total** | **99,925** |
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("your_username/OpenVTON")
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+ sample = dataset["train"][0]
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+ sample["source"].show() # garment image
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+ sample["mask"].show() # segmentation mask
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+ sample["target"].show() # person wearing garment
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+ print(sample["caption"])
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+ print(sample["category"])
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+ ```