Dataset 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']

Number of Images

{'valid': 1295, 'train': 4493, 'test': 629}

How to Use

• Install datasets :

pip install datasets

• Load the dataset:

from datasets import load_dataset

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

Roboflow Dataset Page

https://universe.roboflow.com/art-dataset/wiki-art/dataset/1

Citation

@misc{ wiki-art_dataset,
    title = { wiki art Dataset },
    type = { Open Source Dataset },
    author = { Art Dataset },
    howpublished = { \\url{ https://universe.roboflow.com/art-dataset/wiki-art } },
    url = { https://universe.roboflow.com/art-dataset/wiki-art },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { mar },
    note = { visited on 2023-01-18 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.ai on March 9, 2022 at 1:47 AM GMT

It includes 6417 images. 27 are annotated in folder format.

The following pre-processing was applied to each image:

• Auto-orientation of pixel data (with EXIF-orientation stripping)
• Resize to 416x416 (Stretch)

No image augmentation techniques were applied.