Computer vision is concerned with teaching computers to interpret and derive meaningful information from visual inputs such as digital images or video streams. By enabling machines to recognize patterns, objects, and context within visual data, computer vision differs from other AI sub-fields like natural language processing, speech recognition, or unsupervised pattern discovery in numeric data, which deal with language, audio, or generic data clustering rather than visual understanding.
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