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