ComputerVisionAnwendungen
Computer vision is a field of study and engineering that enables machines to interpret visual information from the world, including images and video. It aims to replicate, automate, or augment aspects of human vision, from recognizing objects to understanding scenes and motion.
Modern computer vision relies largely on machine learning, especially deep learning, to learn representations from data.
Common tasks include image classification, object detection, semantic and instance segmentation, optical flow, 3D reconstruction, and
Key datasets include ImageNet, COCO, PASCAL VOC, KITTI, Cityscapes. Evaluation uses metrics like accuracy, mean average
Emerging areas include self-supervised learning, multimodal vision integrating language, and 3D vision. The field remains rapidly