Object Detection

Object detection is a computer vision technique that involves identifying and locating objects within an image or video. This process typically involves classifying objects into predefined categories and determining their positions through bounding boxes or segmentation masks. Object detection algorithms utilize machine learning, particularly deep learning, to analyze visual data and recognize patterns associated with different objects. Applications of object detection are widespread, including in areas such as surveillance, autonomous vehicles, robotics, image retrieval, and augmented reality. The goal of object detection is to provide accurate and efficient identification of multiple objects in various environments and conditions.