---
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype: string
license: cc-by-4.0
task_categories:
- image-classification
pretty_name: Color Multi Fractal DB 1k
---

# Dataset Card for Color Multi Fractal DB 1k

This is a pre-generated 1k classes, 1M images colored-multi-fractal-images dataset based on [Improving Fractal Pre-training](https://catalys1.github.io/fractal-pretraining/) by Connor et al. and [Multi-Fractal-Dataset](https://github.com/FYGitHub1009/Multi-Fractal-Dataset) by FYSignate1009 repo.

We have changed some fractal parameters so that our ViT pretraining can converge. Modified parameters can be found on this repo.

You can pretrain vision transformers without worrying about dataset licensing for commercial use.

## Dataset Details

### Dataset Sources

- **Repository:** [Improving Fractal Pre-training](https://github.com/catalys1/fractal-pretraining) and [Multi-Fractal-Dataset](https://github.com/FYGitHub1009/Multi-Fractal-Dataset) 
- **Paper:** https://arxiv.org/abs/2110.03091

### Description

- **Curated by:** [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine
- **Dataset License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
- **Source Code License:** [MIT License](https://opensource.org/license/mit)

## How to reproduce this Dataset
This repo contains all scripts that are used to generate fractal images.
```
python generator_no_mixup.py
```