Commercial

Dataset with 30K Illustrations in 20 Artistic Styles

Dataset with 30K Illustrations in 20 Artistic Styles is a 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.

Get in touch Download sample
  • images
    30,000
  • styles
    20
  • Classification
  • Image Processing
  • Machine Learning
  • Data Collection
  • Data Visualization

Dataset with 30K Illustrations in 20 Artistic Styles is a 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.

Get in touch Download sample
  • Classification
  • Image Processing
  • Machine Learning
  • Data Collection
  • Data Visualization
  • images
    30,000
  • styles
    20

Dataset Info

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)
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Technical
Characteristics

Characteristic Data
File extension Png, jpg, jpeg
File resolution Minimum: 1024×1024 px
Image source 100% professionally created illustrations by real illustrators.
Source and collection methodology: Data was collected by a partner of Unidata.

Dataset Use Cases

  • Visual Arts & Creative AI

    Training AI for Artistic Style Recognition

    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.

  • Graphic Design & Media Production

    Enhancing Automated Illustration Generation

    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.

  • Computer Vision & Style Transfer

    Improving AI Image Synthesis

    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.

  • Educational & Research Applications

    Supporting Artistic and Cultural Studies

    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.

FAQs

What is included in this dataset?
The dataset includes 30,000 images in 20 artistic styles, with each image containing metadata such as ID, color information, keywords, plot, and style labels. Images are provided in PNG, JPG, and JPEG formats with a minimum resolution of 1024×1024 pixels.
Can I request a sample of the dataset before purchasing or downloading it?
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.
What are the sources of data for Unidata datasets?
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.
How are Unidata datasets licensed?
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.
Do Unidata datasets follow GDPR or other data privacy regulations?
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.
How are Unidata datasets stored?
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.
How long does it take to receive the dataset?
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.
Is it unique data?
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.
Still have questions about using Unidata datasets? Read our user-guides

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