metadata

language: en
license: mit
datasets:
  - web crawled (coming soon)

Simple CNN-based Artist Classifier

This repo contains a simple CNN-based Keras model which classifies images into one of 10 selected artists/painters.

The purpose of this model was for a quick prototyping
Data has been web-crawled using https://github.com/YoongiKim/AutoCrawler
10 popular artists/painters were chosen:
- [ARTIST]: [ID]
- claude_monet: 0,
- henri_matisse: 1,
- jean_michel_basquiat: 2,
- keith_haring: 3,
- pablo_picasso: 4,
- pierre_augste_renoir: 5,
- rene_magritte: 6,
- roy_richtenstein: 7,
- vincent_van_gogh: 8,
- wassily_kandinsky: 9
About 100 representative paintings per artist 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-artist-classifier")

image_file = 'cat.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 the production, but for a research and quick prototyping. Web-crawled image data might not have balanced amount of drawings that sufficiently represent the artists.

2022-01-18 first created by jaekoo kang