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| license: cc-by-nc-4.0 |
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| # FapMachine Alpha |
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| ## An experiment on training a model by feeding the network with data created by another AI |
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| ### Description |
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| 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. |
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| ### Dataset used |
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| 50 Images of naked women generated by Stable Diffusion (through DiffusionBee) |
| 50 Images of dressed women generated by Stable Diffusion (through DiffusionBee) |
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| ### Training method |
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| Liner.ai training with Image Classification mode |
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| ### Type of network |
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| EfficientNet with Early Stop, 1000 iterations |
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| ### Result |
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| 70% Accuracy and 0.3 loss values |
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| ### How to test |
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| 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 |
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| ### Disclaimer |
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| This model is intended to show the possibility of autofeeding a network with ai generated data |
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