Machine learning models are algorithms that enable computers to learn from and make predictions based on data. These models are trained using large datasets, allowing them to recognize patterns and improve their performance over time without being explicitly programmed for each task. In computer vision, machine learning models are essential for interpreting and understanding visual data, which is crucial for tasks like object detection, image classification, and facial recognition.
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