DATASET

Open Source Community

keremberke/painting-style-classification

The dataset is primarily used for image classification tasks and contains 27 different painting‑style labels. It includes 6,417 images split into training, validation, and test sets. Preprocessing automatically orients images and resizes them to 416 × 416 pixels.

Updated 1/18/2023

hugging_face

Description

Dataset Overview

Task Category

Image classification

Labels

Realism
Art_Nouveau_Modern
Analytical_Cubism
Cubism
Expressionism
Action_painting
Synthetic_Cubism
Symbolism
Ukiyo_e
Naive_Art_Primitivism
Post_Impressionism
Impressionism
Fauvism
Rococo
Minimalism
Mannerism_Late_Renaissance
Color_Field_Painting
High_Renaissance
Romanticism
Pop_Art
Contemporary_Realism
Baroque
New_Realism
Pointillism
Northern_Renaissance
Early_Renaissance
Abstract_Expressionism

Image Count

Training set: 4,493 images
Validation set: 1,295 images
Test set: 629 images

Usage

Install the datasets library:
```
pip install datasets
```

Load the dataset:

from datasets import load_dataset
ds = load_dataset("keremberke/painting-style-classification", name="full")
example = ds["train"][0]

License

CC BY 4.0

Dataset Processing

Image count: 6,417 images
Preprocessing:
- Automatic orientation correction (EXIF removal)
- Resize to 416 × 416 (stretch)
No image augmentation applied

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Topics

Art Style Classification

Image Recognition

Source

Organization: hugging_face

Created: Unknown

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