A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
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Updated
Sep 16, 2020 - Jupyter Notebook
A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
This repo contains implementations of the challenges from fellowship.ai. For more, visit here.
Building a model for predicting food images using the famous FOOD-101 dataset.
Vision Transformer Based Food-101 Classification
Food classification on Food-101 dataset with optimization of training with TF Profiler, transfer learning, fine-tuning, intelligibility
Using Keras models and datasets to build custom prediction models
Web application using Streamlit and Keras to predict food class.
training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:
classifying the food101 dataset using cnn
Training a Deep neural network with torch- Application on food recognition
Multimodal Learning Method MLA for CVPR 2024
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