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Autoconfigure image size based on model? #34
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Was the website model lower or more accurate? I'm thinking the conversation and quant might be the culprits. |
The website on most occasions was more accurate, the wrongly classified ones (classified as more towards porn) were neutral when tested on the website. My main purpose is to detect nudity but most commonly a male being shirtless, but not completely naked, is this classified as neutral in your training set. Btw, I also tried https://github.com/bedapudi6788/NudeNet, which had a bit too many false positives. Side question: If I want to use the Keras 224x224 Image Model, I have to make changes to
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If the website was more accurate, then I wonder if I might have failed to properly upload the latest models. I'll check on this. Correct, if you're using python, you'll need to adjust keras_predict. Would you mind submitting a PR with your updates on the code? A shirtless male should be neutral in this model.. but I didn't do specific training on this. If you find problems let me know, and I can possibly update the model. |
A lot of shirtless males where neutral, except maybe when the dude was really buff and muscular, or lying on the bed. I'll try training the model on them too. Actually, for the 224x224 mobilenet, doing |
you're awesome @bedapudi6788 !!!! |
@bedapudi6788 Are you still interested in contributing that work? |
For the same image, I got a pretty different classification on the Inception v3 Model
Keras 299x299 Image Model downloaded here vs the 93% accurate NSFW JS on the website. Is the model here kept up to date? How often is it retrained and updated?
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