ityizNola/Anime-LineArt-Dataset

Anime Lineart Sketch Dataset

Dataset Summary

This dataset contains high-quality lineart sketch images automatically extracted from raw anime images using the LineartAnimeDetector model from ControlNet Annotators (lllyasviel/Annotators).

It is designed to support research and development in:

• Anime-style sketch generation
• Text-to-sketch pipelines
• ControlNet conditioning
• Sketch-to-image and image-to-sketch translation

The raw source images are sourced from the Anime Images Dataset on Kaggle.

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Dataset Structure

Sketches are organized into subdirectories mirroring the original anime category structure:

sketches/
├── category_1/
│   ├── image_001.png
│   ├── image_002.png
│   └── ...
├── category_2/
│   └── ...
└── category_n/
    └── ...

All images are saved as PNG files at 512×512 resolution.

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Dataset Details

Property	Value
Image format	PNG
Resolution	512 × 512 px
Color mode	Grayscale (lineart)
Source dataset	diraizel/anime-images-dataset (Kaggle)
Extraction model	LineartAnimeDetector — lllyasviel/Annotators
Max images per category	15
License	CC BY-NC 4.0

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Generation Process

Sketches were generated using an automated pipeline:

1. Download — Raw anime images fetched from Kaggle via kagglehub
2. Extract — Each image passed through LineartAnimeDetector at 512px resolution
3. Store — Results saved as PNG, preserving the original category subfolder structure

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Intended Use

✅ Intended Uses

• Training sketch-conditioned diffusion models (e.g., ControlNet)
• Building text-to-sketch or sketch-to-image datasets
• Anime style transfer and lineart research

❌ Out-of-Scope Uses

• Commercial use without explicit permission (see license)
• Generating content that infringes copyright of original anime works

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Source Data

The raw images are sourced from:

Anime Images Dataset by diraizel on Kaggle.
Original images are not redistributed in this dataset — only the extracted lineart representations are included.

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Citation

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

@dataset{icoglabs_anime_sketches_2025,
  author       = {iCog Labs},
  title        = {Anime Lineart Sketch Dataset},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/ityizNola/Anime-LineArt-Dataset}
}

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Contact

Maintained by iCog Labs — AI Video Generation Research Team.
For questions or contributions, open an issue on the source repository.