Sketch classification

Keys words
Vision Transformer, Finethunning, Data Augmentation
Objective
The aim of this work is to develop a model capable of classifying the images of the dataset classifysketch with the best accuracy. It is made up of 250 classes of sketches. We will begin by examining the dataset, then discuss the model selection, data augmentation and model tuning that enabled me to achieve 84.7% accuracy on the test dataset using re- sults from [1] and [2] and a new data augmentation
Kaggle : ranked 4/59

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