---
title: "Dataset with 30K Illustrations in 20 Artistic Styles"
description: "High-quality professional illustrations dataset containing 30,000 images across 20 diverse artistic styles, including 3D, Cartoon, Caricature, Graffiti, and more. The annotated images dataset includes metadata…"
url: "https://unidata.pro/datasets/artistic-styles-dataset/"
date_modified: "2025-11-27T19:34:26+03:00"
language: "en-US"
---
High-quality professional illustrations dataset containing 30,000 images across 20 diverse artistic styles, including 3D, Cartoon, Caricature, Graffiti, and more. The annotated images dataset includes metadata on style, color, keywords, and plot, providing rich training data for image classification, style transfer, and creative machine learning applications.

## Dataset Structure

### The Numbers Section

**Numbered list:**

- **Number:** 30,000 — **Text:** images
- **Number:** 20 — **Text:** styles

### Tooltips Section

**Tooltip items:**

- **Name:** Classification
- **Name:** Image Processing
- **Name:** Machine Learning
- **Name:** Data Collection
- **Name:** Data Visualization

### Dataset Information

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Description | Generated text to achieve higher performance in various NLP tasks
AI-generated images of art |
| Data types | Image |
| Tasks | Image Classification, style transfer, content generation |
| Total number of files | 30,000 |
| Number of files in a set | 10 000 |
| Styles | 3D, Books, Caricature, Cartoon, Character, Children, Collage, Comics, Dark, Engraving, Fashion, Flora-fauna, Fun, Games, GIF, Graffiti, Graphics and etc |
| Labeling | Metadata (ID, is color, keywords list, plot, styles, using) |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/08/dataset-with-30k-illustrations-in-20-artistic-styles0a023_00685.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/08/dataset-with-30k-illustrations-in-20-artistic-styles0a037_00615.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1aXkgd5WFyl3gh4N_n_sPtPLiJlCOdjmx?usp=sharing)

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| File extension | PNG, JPG, JPEG |
| File resolution | Minimum: 1024×1024 px |
| Image source | 100% professionally created illustrations by real illustrators. |

**Source and data collection methodology:** Source and collection methodology: Data was collected by a partner of Unidata.

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Visual Arts & Creative AI — **Title:** Training AI for Artistic Style Recognition — **Text:** This artistic styles dataset provides 30,000 professionally created illustrations across 20 distinct styles, enabling AI models to learn and classify diverse visual patterns. The annotated images dataset includes metadata on style, color, and thematic elements, supporting machine learning training for style recognition, image classification, and creative process simulation in digital arts research.
- **Industry:** Graphic Design & Media Production — **Title:** Enhancing Automated Illustration Generation — **Text:** The professional illustrations dataset offers a comprehensive collection of images from multiple artistic movements, allowing designers and AI systems to generate new content that reflects authentic visual features. By leveraging training data from this dataset, applications in content creation, digital media, and automated image generation gain precision in replicating specific illustration styles for marketing or multimedia projects.
- **Industry:** Computer Vision & Style Transfer — **Title:** Improving AI Image Synthesis — **Text:** Using this illustration styles dataset, researchers can develop and test algorithms for style transfer and creative image generation. The dataset’s diversity, including styles like 3D, Cartoon, Graffiti, and Caricature, ensures AI models capture nuanced visual arts characteristics, supporting training sets that enhance output realism and fidelity across multiple artistic genres.
- **Industry:** Educational & Research Applications — **Title:** Supporting Artistic and Cultural Studies — **Text:** This annotated images dataset serves as a resource for art historians, educators, and students studying artistic styles and art movements. The dataset covers multiple genres and media, providing datasets containing richly labeled examples for analysis, teaching, and research purposes, enabling comparisons across different artists and visual traditions.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** Can I request a sample of the dataset before purchasing or downloading it? — **Answer:** Yes. You can request a sample of the dataset to evaluate image quality, resolution, and diversity of artistic styles. This ensures that the dataset meets your requirements for training and testing AI or machine learning models.
- **Question:** What are the sources of data for Unidata datasets? — **Answer:** This dataset was created by professional illustrators and collected through a partner of Unidata. All images are original, high-quality illustrations, ensuring authenticity and creative integrity.
- **Question:** Does the dataset include image descriptions and style annotations? — **Answer:** Yes. Every illustration is accompanied by structured metadata, including style labels, keywords, plot descriptions, color information, and usage attributes. These annotations make the dataset valuable for multimodal AI, image captioning, prompt engineering, and text-to-image model training.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model, offering free samples for testing and evaluation, while the full dataset is available exclusively through purchase. This ensures both academic and commercial usage compliance.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All Unidata datasets comply with GDPR and applicable data protection laws. Data is sourced ethically from professionally created illustrations, ensuring lawful and ethical use.
- **Question:** How are Unidata datasets stored? — **Answer:** Datasets are securely stored on AWS cloud infrastructure, providing high availability, scalability, and compliance with ISO 27001 and ISO 27701 standards. This ensures a secure and privacy-focused environment for handling data.
- **Question:** How long does it take to receive the dataset? — **Answer:** Once a request is submitted, Unidata reviews the details and completes the necessary documents. After signing and payment, the dataset is delivered within 3–10 business days.
- **Question:** Is it unique data? — **Answer:** Yes. This is a unique dataset of professionally created illustrations, not derived from publicly available sources. It is suitable for training high-performance AI models in artistic style recognition and content generation.

[Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)