food-101-keras and food-101-mobile
The Keras/TensorFlow model trained in tool A serves as the backend that tool B converts and deploys as a mobile classifier for iOS, making them complementary components of a complete food classification pipeline rather than alternatives.
About food-101-keras
stratospark/food-101-keras
Food Classification with Deep Learning in Keras / Tensorflow
This project helps anyone who needs to automatically identify different types of food from images. You input pictures of food, and it tells you which of 101 food categories each image belongs to, like 'pizza' or 'sushi'. This is useful for dieticians, food bloggers, or anyone tracking meals or organizing large collections of food photos.
About food-101-mobile
stratospark/food-101-mobile
Deep Learning Food Classifier for iOS using Keras and Tensorflow
This project helps iOS app developers deploy existing Keras/TensorFlow food classification models into mobile applications. It takes a pre-trained Keras model and outputs an optimized TensorFlow graph, enabling the app to classify food images captured by the device's camera. The primary users are iOS developers looking to integrate machine learning capabilities into their apps.
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