Dataset with 30K Illustrations in 20 Artistic Styles
The dataset contains images of art in various styles, each accompanied by detailed annotations describing the scene, characters, and context.
-
- images
- 30,000
-
- styles
- 20
- Classification
- Image Processing
- Machine Learning
- Data Collection
- Data Visualization
The dataset contains images of art in various styles, each accompanied by detailed annotations describing the scene, characters, and context.
- 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) |
Technical
Characteristics
| Characteristic | Data |
| File extension | Png, jpg, jpeg |
| File resolution | Minimum: 1024×1024 px |
| Image source | 100% professionally created illustrations by real illustrators. |
Industries
E-commerce and Retail:
-
Branding:
Developing unique visual identities by experimenting with different artistic styles in their marketing campaigns.
Entertainment Industry:
-
Content Creation:
Generating unique visual content for films, television, and online media, enhancing storytelling through diverse artistic styles.
-
Visual Effects and Animation:
Enhance production with AI-generated backgrounds and effects for movies and animations.
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