README.md

---
license: mit
task_categories:
- image-to-image
- image-classification
tags:
- skin-tone-matching
- inpainting
- lora-training
- computer-vision
pretty_name: Skin Tone Matching LoRA Training Dataset
size_categories:
- n<1K
---

# Skin Tone Matching LoRA Training Dataset

## Dataset Description

This dataset is designed for training LoRA (Low-Rank Adaptation) models for skin tone matching and inpainting tasks. The dataset contains 98 image pairs with corresponding text prompts for training generative models to perform natural-looking skin inpainting that matches surrounding skin tone, texture, and lighting.

## Dataset Structure

The dataset contains the following fields:

- `image_id`: Unique identifier for each image pair
- `input_image`: Input image with green masked areas that need to be inpainted
- `target_image`: Ground truth target image showing the desired inpainting result
- `caption`: Text prompt describing the inpainting task
- `task`: Task category (always "skin_tone_matching")

## Use Cases

This dataset is suitable for:

- Training LoRA adapters for skin tone matching
- Fine-tuning diffusion models for inpainting tasks
- Research in computer vision and image generation
- Developing tools for photo editing and restoration

## Dataset Creation

The dataset was created for training models to:
1. Identify green masked areas in facial images
2. Generate natural-looking skin that matches the surrounding area
3. Ensure seamless blending with existing skin tone, texture, and lighting
4. Maintain realistic shadows and highlights

## Citation

If you use this dataset in your research, please cite:

```
@dataset{skin_tone_matching_lora,
  title={Skin Tone Matching LoRA Training Dataset},
  author={Karthik},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/kg-09/SkinTone-Dataset}
}
```

## License

This dataset is released under the  License.