Cheng-K/FoodNet
Food Ingredients Recognition and Calorie Estimation using Multi-Task Deep Learning
This project helps nutritionists, dietitians, or health-conscious individuals automatically analyze the nutritional content of meals. You input a picture of food, and it outputs the identified ingredients, an estimated calorie count, and macronutrient breakdown. This allows for quick dietary tracking and assessment without manual entry.
No commits in the last 6 months.
Use this if you need a deep learning model to train for automatically recognizing food ingredients, estimating calories, and calculating macronutrients from images.
Not ideal if you are looking for a ready-to-use mobile application for food tracking, as this repository focuses on the underlying model development.
Stars
64
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2023
Commits (30d)
0
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