food-101-keras and food-vision
These are **competitors**: both implement standalone CNN-based food image classification systems using different deep learning frameworks (Keras/TensorFlow vs. a general CNN approach), solving the same problem without dependency between them.
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-vision
gauravreddy08/food-vision
An end-to-end CNN Image Classification Model which identifies the food in your image
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