lannguyen0910/food-recognition
🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
This project helps nutritionists, dietitians, or anyone tracking their food intake to automatically identify and categorize food items in images. You provide an image of a meal, and it outputs labels for detected foods, classifies them into specific categories, and even outlines their shapes. This is useful for detailed dietary analysis without manual logging.
368 stars. No commits in the last 6 months.
Use this if you need to precisely identify, classify, and segment different food items within an image for dietary analysis or similar applications.
Not ideal if you need to process video or real-time camera feeds, as this project is currently optimized for static images.
Stars
368
Forks
107
Language
Python
License
MIT
Category
Last pushed
May 01, 2024
Commits (30d)
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