Content-Length: 223438 | pFad | http://github.com/topics/food-vision
A0Code and files to go along with CS329s machine learning model deployment tutorial.
The purpose of Food Vision project is to classify 101 variety of food items using Machine Learning.
This project involves the creation of a food vision model using TensorFlow and EfficientNetB0 as the base model. The model is trained on the CIFAR-100 dataset, which contains 100 classes of images.
Fruits freshness classifier with EfficientNet trained on Spoiled and fresh fruit inspection dataset, currently available for bananas, apples, and oranges
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