README.md

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license: cc-by-nc-4.0
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# FapMachine Alpha

## An experiment on training a model by feeding the network with data created by another AI

### Description

FapMachine is an experiment, as stated above, with the goal of recognizing naked or dressed women without being feeded with any real world image. Be aware: it can be considered NSFW even if there are no NSFW images included.

### Dataset used

50 Images of naked women generated by Stable Diffusion (through DiffusionBee)
50 Images of dressed women generated by Stable Diffusion (through DiffusionBee)

### Training method

Liner.ai training with Image Classification mode

### Type of network

EfficientNet with Early Stop, 1000 iterations

### Result

70% Accuracy and 0.3 loss values

### How to test

You can clone this repository and rename 20d.png as image.png or use any image you want renaming it as image.png, then run the python file to see the prediction result

### Disclaimer

This model is intended to show the possibility of autofeeding a network with ai generated data