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.
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Mar 22, 2017
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