Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
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Updated
Jan 25, 2021 - Python
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Building a model for predicting food images using the famous FOOD-101 dataset.
Vision Transformer Based Food-101 Classification
A clean and modular pipeline for preprocessing the Food-101 dataset using both folder-based and CSV-based workflows.
Web application using Streamlit and Keras to predict food class.
Example application for training Microsofts's pretrained BEiT image transformer model on a new image classification task
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