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.

food-101-keras
51
Established
food-101-mobile
45
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 20/25
Stars: 712
Forks: 230
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 97
Forks: 24
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About food-101-keras

stratospark/food-101-keras

Food Classification with Deep Learning in Keras / Tensorflow

Implements transfer learning by fine-tuning a pre-trained InceptionV3 model on the Food-101 dataset (101 food classes, 1000 images each), achieving 82% top-1 accuracy with single-crop inference and 97% top-5 accuracy using 10-crop ensembling. Includes data preprocessing with h5py for efficient storage, image augmentation pipelines, and exports trained models to Keras.js for browser-based inference and mobile deployment via TensorFlow.

About food-101-mobile

stratospark/food-101-mobile

Deep Learning Food Classifier for iOS using Keras and Tensorflow

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