license:mit size_categories:1K<n<10K format:parquet modality:image library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': dark
          '1': light
  splits:
  - name: train
    num_bytes: 296821064
    num_examples: 4000
  download_size: 264360785
  dataset_size: 296821064
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
---

I created these images using a p5.js.  I first rendered them in a GIF, uploaded to Google Drive, and then extracted the individual frames
from the GIF.

The light background gears images were generated in p5.js using this [sketch](https://editor.p5js.org/kfahn/sketches/mJ4FOnPy5).
The dark background gears images were generated in p5.js using this [sketch](https://editor.p5js.org/kfahn/sketches/mJ4FOnPy5).