gmurro/food-recognition
Image-based food segmentation for Deep Learning class at @UNIBO
This project helps computer vision researchers and students develop and evaluate models that can identify individual food items within images. It takes a dataset of food images with existing annotations and produces trained models capable of recognizing different food segments. This is ideal for those working on image segmentation problems related to food recognition.
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Use this if you are a deep learning student or researcher needing a starting point or reference for training models to segment food items in images.
Not ideal if you are looking for a ready-to-use application to instantly analyze food in images without deep learning expertise.
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14
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 24, 2021
Commits (30d)
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