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Computer Vision

The field of AI that enables machines to interpret and understand visual information from images and videos.

Computer vision gives machines the ability to extract meaningful information from visual data. Applications include image classification, object detection, facial recognition, autonomous driving, medical imaging analysis, and augmented reality.

Modern computer vision relies heavily on convolutional neural networks (CNNs) and, increasingly, vision transformers (ViTs). Techniques like transfer learning allow models pre-trained on ImageNet to be adapted for specialized visual tasks with relatively small datasets.

Computer vision engineers work across industries — healthcare, automotive, manufacturing, security, and entertainment. The role typically requires strong skills in image processing, deep learning frameworks (PyTorch, TensorFlow), and domain-specific knowledge for the application area.

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