README.md

metadata

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

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"])