For locating and labeling vehicles in images, which OCI Vision feature is most appropriate?

The most suitable feature for locating and labeling vehicles in images is object detection. This capability is specifically designed to identify and classify objects within an image, along with providing their precise locations. Object detection not only recognizes different objects but also draws bounding boxes around them to indicate where each object is situated within the image. In the context of vehicles, this means that the model can effectively find and label different types of vehicles, such as cars, trucks, and buses.

Image classification, on the other hand, categorizes entire images into predefined classes without providing any location information about the objects within those images. This would not meet the requirement of pinpointing vehicles in the images. Facial recognition is tailored for identifying and verifying human faces and is thus not applicable to detecting vehicles. Scene understanding focuses on interpreting the entire scene contextually, which is broader than simply detecting specific objects like vehicles. Therefore, object detection stands out as the most appropriate choice for the task at hand.