Update README.md

README.md

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 # Danbooru SFW 512 General Filter Datset 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