Vision Transformer for Image Classification

In this project, we’ll train an image classifier to recognize the digit present in the image. The images will contain a single digit ranging from 0 to 9. We’ll use a Vision Transformer (ViT) as the image classifier. This project will teach us the steps to fine-tune a ViT.

We’ll load the dataset using the Datasets library and visualize the image data using Matplotlib. We’ll perform data preprocessing and augmentation, followed by splitting the data into train, validation, and test sets. We’ll then download a pretrained ViT model from Hugging Face Hub and fine-tune it on our dataset using the Transformers library. We’ll finally evaluate our model using the F1 score metric in the scikit-learn library.