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Explore a comprehensive Python-based image annotation tool in this 32-minute video walkthrough. Learn to install the necessary libraries, set up your environment, and create new projects for 2D and multi-dimensional image annotation. Master manual annotation techniques using polygon and rectangle tools, and discover semi-automatic annotations with the Segment Anything Model (SAM). Organize your work by renaming and color-coding classes, then export annotations to various formats including COCO JSON, YOLO v8, and Pascal VOC. Verify exported annotations and explore additional features such as annotation statistics, data splitting, patch extraction, and data augmentation. Follow the step-by-step installation process using pip, and launch the application with a simple command. Access the GitHub repository and PyPI page for further resources and support.