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--- |
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tags: |
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- autotrain |
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- vision |
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- image-classification |
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license: mit |
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widget: |
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- src: https://files.catbox.moe/72xdjy.png |
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example_title: Furry Avatar |
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- src: https://files.catbox.moe/22bao8.jpg |
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example_title: Furry Avatar |
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- src: https://files.catbox.moe/xahs5m.png |
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example_title: Normal Animal Avatar |
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- src: https://files.catbox.moe/6zvcpu.png |
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example_title: Normal Animal Avatar |
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- src: https://files.catbox.moe/gcltc9.png |
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example_title: Kemonomimi Avatar |
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- src: https://files.catbox.moe/w4vcoc.png |
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example_title: Kemonomimi Avatar |
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- src: https://files.catbox.moe/ujfzv0.png |
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example_title: Human Avatar |
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- src: https://files.catbox.moe/yxx1qz.jpg |
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example_title: Human Avatar |
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-1.jpg |
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example_title: Normal Cat :3 |
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co2_eq_emissions: |
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emissions: 2.8752228959859316 |
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--- |
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This detects furry images, mostly profile pictures, although it may be able detect any sort of furry picture (I haven't tried it, though). |
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# Dataset Info |
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This was trained on scraped pfp images from Mastodon, with some non-pfp images thrown in for "balancing" (i.e ensuring pokemon, kemonomimi (catgirls/foxgirls/etc), and normal animals weren't classified as 'furry') |
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**Furry images**: 551 |
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**Non-furry images**: 641 |
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# Disclaimer |
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Please do not ruin this by using this to harass anyone. |
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This is *not* intended to be used for targeted harrassement, and I will explicitly condemn any use that attempts to do so. |
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If you're wondering why I made this public in the first place? |
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I believe in freedom of *information* - this image classification model has various perfectly valid uses, and it's kinda useless to keep it private. |
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# Statistics |
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## Model Trained Using AutoTrain |
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- Problem type: Binary Classification |
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- Model ID: 2890884434 |
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- CO2 Emissions (in grams): 2.8752 |
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## Validation Metrics |
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- Loss: 0.175 |
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- Accuracy: 0.933 |
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- Precision: 0.938 |
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- Recall: 0.938 |
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- AUC: 0.975 |
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- F1: 0.938 |
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