Vision processing in AI involves analyzing and interpreting visual data, such as images and videos, to extract meaningful information. This process typically includes tasks like image preprocessing, feature extraction, and applying machine learning models for tasks like classification, segmentation, or object detection. Vision processing is integral to applications like facial recognition, autonomous vehicles, and augmented reality. Techniques such as convolutional neural networks (CNNs) and transformers are commonly used for vision processing in modern AI systems, enabling them to handle large-scale and complex visual data.
What is vision processing in AI?
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