False positives
#6
by
Dolfik
- opened
Hello. Thanks for this great model. I use this model to validate images that users generate, and I found that the model is prone to false positives when there are red tones in the colors in the image.
Here is some examples:
Looks like the training is causing skin-tone (color) to be oversensitive to false positives.
Yes flesh tones trigger false positives for obvious reasons. Lol