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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) |
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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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