Create a custom Tensorflow model for MLKit to classify Nutrition facts, Packaging instruction, Front and Ingredients photo on device - Githubissues

openfoodfacts / smooth-app

🤳🥫 The new Open Food Facts mobile application for Android and iOS, crafted with Flutter and Dart

https://world.openfoodfacts.org/open-food-facts-mobile-app?utm_source=off&utf_medium=web&utm_campaign=github-repo

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Create a custom Tensorflow model for MLKit to classify Nutrition facts, Packaging instruction, Front and Ingredients photo on device #5010

Open teolemon opened 10 months ago

teolemon commented 10 months ago

What

Create a custom Tensorflow model for MLKit to classify Nutrition facts, Packaging instruction, Front and Ingredients photo on device
Create a custom Tensorflow model for MLKit to classify food, pet food, cosmetics and other products on device
This would enable us to experiment with taking photos of the products in a burst, and do "magic" product addition

How

https://developers.google.com/ml-kit/vision/image-labeling?hl=fr https://developers.google.com/ml-kit/vision/face-detection?hl=fr

Originally posted by @teolemon in https://github.com/openfoodfacts/smooth-app/issues/4027#issuecomment-1907869057

Part of

4027

teolemon commented 2 months ago

@raphael0202

raphael0202 commented 1 month ago

We can move it to Open Food Facts AI?