Browse all content tagged with Object Detection
Computer Vision is a field within artificial intelligence (AI) focused on enabling computers to interpret and understand the visual world. By leveraging digital images from cameras, videos, and deep learning models, machines can accurately identify and classify objects, and then react to what they see.
Mean Average Precision (mAP) is a key metric in computer vision for evaluating object detection models, capturing both detection and localization accuracy with a single scalar value. It is widely used in benchmarking and optimizing AI models for tasks like autonomous driving, surveillance, and information retrieval.
