---
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---
# Danbooru SFW 512 General Filter Dataset V1
This dataset is meant to be used for training a simple binary classifier that can filter the 
Danbooru SFW 2021 dataset. There are two classes: "accepted" and "rejected", with "accepted" 
representing samples that should pass through the filter and "rejected" representing samples 
that should not. 

Generallly, to be accepted a sample should meet the following criteria:

1. No horizontal/vertical bars, or bars that can be removed easily by filling in the background
color. This precludes any samples with bars which cut through any part of the image that is not
a solid color block (i.e. patterns, detailed backgrounds, and foreground elements).

2. Not overtly sexual. The SFW subset of Danbooru 2021 which this dataset is based on has 
already removed almost all nudity, this criterion simply removes some of the borderline NSFW images.

3. Somewhat aesthetic. 

Please note that dataset samples were selected manually, so there was somewhat of a tradeoff between 
speed and accuracy. Despite this, I've managed to train a binary classifier up to 85% test
accuracy on this dataset. I've also observed pretty good performance when using that classifier on 
entirely new portions of the base dataset.

## Original Dataset Citation
```bibtex
@misc{danbooru2021,
    author={Anonymous and Danbooru community and Gwern Branwen},
    title={Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset},
    howpublished={\url{https://gwern.net/danbooru2021}},
    url={https://gwern.net/danbooru2021},
    type={dataset},
    year={2022},
    month={January},
    timestamp={2022-01-21},
    note={Accessed: 2023-12-06}
}
```