<ul><li>AI image recognition is a subset of computer vision that enables machines to process, analyze, and identify images by recognizing patterns, objects, text, and emotions.</li><li>Common use cases of AI image recognition include facial recognition in security and social apps, object detection in self-driving cars, medical imaging for diagnosis, product recognition in e-commerce, and document and handwriting recognition.</li><li>Popular tools and libraries for image recognition include Python, TensorFlow, Keras, OpenCV, and PyTorch.</li><li>The basic steps to build an image recognition app include collecting and preparing data, training a model, testing and evaluating the model's accuracy, building an interface for user interaction, and deploying the model using frameworks like Flask, FastAPI, or on cloud platforms.</li></ul>

AI Image Recognition Application Programming

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