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Learn how to build a custom real-time face mask detection system using TensorFlow and Python in this comprehensive tutorial. Discover the process of creating a custom object detection model that can be easily adapted for various applications. Master the skills of installing and using labelImg for image annotation, training a custom object detector, leveraging transfer learning with state-of-the-art models, setting up an efficient workflow, and implementing real-time detection using the trained model. Gain hands-on experience with the TensorFlow Object Detection API and explore resources such as pre-trained models from the TensorFlow 2 Detection Model Zoo. Follow along with step-by-step instructions and access provided code templates to create your own powerful object detection system.
