cvvvv.pptx DOR COMPUTER VISION 3RD SEM VTU

CV

1. Computer vision is a field of artificial intelligence (AI) that enables computers and systems to interpret and understand visual information from the world, such as images and videos. It mimics human vision to recognize objects, patterns, and scenes, and make decisions based on that data. Key tasks in computer vision include: Image Classification : Assigning a label or category to an image (e.g., identifying a picture as a cat or dog). Object Detection : Locating and identifying objects within an image (e.g., detecting faces, cars, or pedestrians). Image Segmentation : Dividing an image into regions or segments, often to isolate objects of interest. Facial Recognition : Identifying or verifying individuals based on facial features. Optical Character Recognition (OCR) : Converting written or printed text into machine-readable text. Scene Understanding : Understanding and interpreting the content of a scene, such as determining relationships between objects or actions. Computer vision uses a variety of techniques like machine learning, deep learning (particularly