Learn to build an Automatic Number Plate Recognition system using Python, TensorFlow, and EasyOCR in this comprehensive two-hour tutorial. Master the process of detecting license plates in images and real-time video using TensorFlow Object Detection and Kaggle data. Apply PyTorch and EasyOCR to extract text from detected plates. Develop skills in setting up the development environment, preparing and partitioning data, training a custom model, and implementing plate detection. Explore advanced techniques such as applying OCR, implementing detection thresholding, and creating a filtering algorithm. Gain practical experience in real-time ANPR application and learn to save detected plates for future analysis. By the end of this tutorial, create a functional system capable of detecting license plates, extracting plate numbers, and saving results for broader applications or standalone use.