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