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Explore a comprehensive Python-based image annotation application and its associated tools in this 55-minute video tutorial. Learn to create new projects, add 2D and multi-dimensional images, search projects using metadata, and perform manual annotations with polygon and rectangle tools. Discover semi-automatic annotations using the Segment Anything Model (SAM) and master exporting annotations to various formats. Gain insights into training custom models with YOLO, predicting on images, and converting predictions to annotations. Explore additional tools for annotation statistics, JSON annotation combination, data splitting, patch extraction, and data augmentation. Follow the installation instructions to set up the tool and download SAM models for enhanced functionality. Access the GitHub repository and PyPI page for further resources and information.