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Simple CNN-based Artist Classifier

This repo contains a simple CNN-based Keras model which classifies images into one of 8 artistic trends.

See also: https://huggingface.co/jkang/drawing-artist-classifier

  • The purpose of this model was for a quick prototyping
  • Data has been web-crawled using https://github.com/YoongiKim/AutoCrawler
  • 8 popular artists/painters were chosen:
    • [TREND]: [ID]
    • cubism: 0,
    • expressionism: 1,
    • fauvisme: 2,
    • graffitiar: 3,
    • impressionism: 4,
    • popart: 5,
    • post_impressionism: 6,
    • surrealism: 7}
  • About 100 representative paintings per artist considering 8 trends were crawled and manually checked
  • Dataset will be shared later

How to use

import tensorflow as tf
from huggingface_hub import from_pretrained_keras
model = from_pretrained_keras("jkang/drawing-artistic-trend-classifier")

image_file = 'monet.jpg'
img = tf.io.read_file(image_file)
img = tf.io.decode_jpeg(img, channels=3)

last_layer_activation, predictions = model(img[tf.newaxis,...])

Intended uses & limitations

You can use this model freely for predicting artists or trends of a given image. Please keep in mind that this model is not intended for production, but for research and quick prototyping. Web-crawled image data might not have a balanced amount of drawings that sufficiently represent the artists.

  • 2022-01-18 first created by jaekoo kang
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