Automatic Image Labeling with Vision Transformers - OWLv2 & Python Tutorial

This tutorial demonstrates how to use OWLv2, a powerful Vision Transformer, to automatically label images without manual annotations. Learn the complete workflow for automatic image labeling, including setting up OWLv2, defining an ontology for object detection, processing multiple images to generate annotations, and using Autodistill for efficient dataset creation. Follow along with the step-by-step process covering installation, single image labeling, batch processing of multiple images, and testing the results. The tutorial includes access to code samples and connects to additional resources for computer vision and visual language models.