Object Detection Using YOLO-V8
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Abstract
The growing need for automated object detection and recognition in visual data has become crucial in various domains, including surveillance, autonomous vehicles, and image analysis. Traditional methods often struggle with speed and accuracy, making real-time applications challenging. The main objective of this experiment is to make the computers identify and detect objects in the visual data. The algorithm is used to detect the object with classification and localization based on visual inputs. This project uses YOLO(You Only Look Once) algorithm to detect the objects. YOLO v8 is known for its speedy and accurate object detection. This idea is used to identify multiple objects in images, videos, and live webcams. This algorithm adapts to various scenarios such as image analysis to dynamic object tracking.