---
license: creativeml-openrail-m
task_categories:
- image-to-text
- image-to-image
- text-to-image
tags:
- art
size_categories:
- 1K<n<10K
---

## Dataset Format

- **File Type:** .png

## Data Sources

1. **Online Collection:** Images collected from public datasets such as Kaggle and Huggingface.
2. **Offline Collection:** Hand-drawn sketches by seven-year-old children, gathered through school visits and other offline activities.

## Data Acquisition

- Team members downloaded and collected images from online datasets.
- Offline data was collected by visiting schools and gathering hand-drawn sketches from children.

## Dataset Characteristics

1. **Diverse Artistic Styles:** The style dataset includes works inspired by famous artists such as Van Gogh and Monet, as well as various art movements like Impressionism, Cubism, and Abstract art.
2. **High Image Quality:** All images are of high resolution and clarity.
3. **Variety of Image Types:** The dataset covers a wide range of subjects, including portraits and landscapes, supporting diverse creative scenarios.
4. **Custom Style Samples:** To enable user-defined style generation, the dataset includes a rich collection of style samples.

## Dataset Scale

- **Style Datasets:** Includes oil painting, colored pencil, and crayon datasets, each with 150 images.
- **Sketch Datasets:** Includes digital sketch and pencil sketch datasets, each with 100 - 200 images.

## Data Sources

- [Kaggle: Real AI Art Dataset](https://www.kaggle.com/datasets/ravidussilva/real-ai-art) (for style datasets except colored pencil and crayon)
- Colored pencil and crayon images were collected from various online sources.