The goal of object detection is to identify and locate objects within an image or video. It involves determining the class of each object and marking its position, typically using bounding boxes. Object detection is a foundational task in computer vision with applications in various fields. For instance, it enables autonomous vehicles to detect pedestrians, traffic signs, and other vehicles. In surveillance, it is used to identify intruders or suspicious activities in real time. Advanced algorithms, such as YOLO (You Only Look Once) and Faster R-CNN, make object detection efficient and accurate. These methods are critical for real-world applications, where both precision and speed are essential for decision-making and safety.
What is the goal of object detection?
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