Image Classification with Vision Transformers (ViT) Using Python

Learn how to implement image classification using Vision Transformers (ViT) in this 14-minute Python tutorial. Follow along as the instructor demonstrates loading an image with OpenCV, preprocessing it for the ViT model, and performing classification using the ViT-Base-Patch16-224 model from Hugging Face. Watch as the predicted label is displayed on the image and saved as an output file. Access the complete code for this tutorial through the provided link and explore additional computer vision resources on the instructor's blog. The tutorial covers installation requirements and provides a step-by-step coding walkthrough to help you understand how to leverage transformer architecture for image classification tasks.