Computer Vision is a field of artificial intelligence that enables machines to interpret and understand visual information from the world—images, videos, and camera streams. It powers applications from autonomous vehicles to medical imaging, bridging perception and decision-making. At its core, Computer Vision combines convolutional neural networks (CNNs), classical image processing, and modern transformer architectures to extract features, detect objects, and segment scenes. One critical insight: the choice of architecture and preprocessing directly determines whether your model generalizes to real-world variations in lighting, occlusion, and scale—clean training data and appropriate augmentation are not optional extras but foundational requirements.

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