Object detection is a computer vision technique that involves locating and classifying objects within an image or video.

It has application in various domains, including autonomous driving, surveillance, robotics, and image understanding.

The goal of object detection is to not only classify the objects but also determine their precise location in the image or video.

There are several approaches to object detection, including traditional methods and deep learning-based methods.

One popular deep learning-based object detection framework is called Faster R-CNN

Another widely used object detection framework is called SSD (Single Shot MultiBox Detector)

Object detection is often used as a building block for more complex tasks, such as object tracking or instance segmentation.

With advancements in deep learning and the availability of large annotated datasets object detection performance has significantly improved