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The tutorial is about training a custom object detection model and deploying it on a Raspberry Pi. Pre-trained models can recognize general objects, but for specific objects, a custom model is needed. The three steps involved are collecting and labeling training images, using TensorFlow Lite Model Maker to train the custom model, and deploying the model on a Raspberry Pi.
