Object detection is the process of locating and identifying objects in digital images or videos. It is a common task across many fields, including robotics, medical imaging, and computer vision. In computer vision, object detection is the process of finding and classifying objects in images or videos. This task has many applications including autonomous navigation, image retrieval, content filtering, and medical image analysis.
Object detection is increasingly being used in autonomous systems such as self-driving cars, drones, and robots. In these systems, it is essential to precisely detect and identify objects in the environment. This is done using a range of sensors including cameras, LIDAR, and radar. The combination of these sensors helps the system to accurately detect and identify instances of objects, such as pedestrians, vehicles, and other objects of interest. Such systems also use deep learning techniques and artificial neural networks to help them distinguish between different classes and identify objects more accurately.
Object detection is used in autonomous navigation, both for navigation around objects as well as navigation towards specific locations. It is also used in content filtering, allowing for automated content classification and removal of inappropriate material. Moreover, object detection is useful in medical imaging for detecting and diagnosing abnormalities, such as tumors, in medical images.
Object detection is an essential component of many computer vision systems, and its applications are rapidly growing as technology advances. With the increasing popularity of autonomous systems, object detection will become even more important in the future.
