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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.
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