rgeirhos/Stylized-ImageNet
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
This project helps machine learning researchers generate a unique version of the ImageNet dataset where images are 'stylized' like paintings while preserving their original object shapes. By feeding in original ImageNet images and a collection of style images, it outputs a new Stylized-ImageNet dataset. This modified dataset is used by researchers to train Convolutional Neural Networks (CNNs) to focus more on an object's shape rather than its texture.
524 stars.
Use this if you are a machine learning researcher studying computer vision models and want to create a specialized ImageNet dataset to investigate how CNNs learn object shapes versus textures.
Not ideal if you want to stylize a dataset other than ImageNet, as this tool is specifically configured for ImageNet.
Stars
524
Forks
65
Language
Python
License
MIT
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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