Object Detection
Object detection is a computer vision task that involves identifying and locating objects within images or video frames and drawing bounding boxes around them. It is used in various applications, including autonomous vehicles, surveillance systems, and augmented reality. Readers can learn how object detection algorithms and models, such as YOLO (You Only Look Once) and SSD (Single Shot MultiBox Detector), enable machines to recognize and classify objects in real-time, facilitating tasks such as object tracking, scene understanding, and content analysis in visual data.
All posts about object-detection