AI vision models

AI vision models: deep learning architectures (e.g., ResNet, YOLO) enabling machines to interpret visual data, executing core tasks like image classification, object detection, and segmentation.

AI vision models are specialized deep learning systems, primarily leveraging Convolutional Neural Networks (CNNs) and transformer architectures, to process and interpret visual data. They function as the 'eyes' of AI, performing critical tasks: identifying objects (object detection), categorizing entire scenes (image classification), and pixel-level analysis (segmentation). Models such as YOLO (You-Only-Look-Once) and ResNet are deployed across high-stakes industries, powering real-time object detection for autonomous vehicles, automating diagnostics in medical imaging, and enhancing video surveillance systems. This technology is a core driver of modern AI advancement, translating raw pixels into actionable, structured data.

https://paperswithcode.com/area/computer-vision