You need to determine the location of cars in an image so that you can estimate the distance between the cars.
Which type of computer vision should you use?
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A. B. C. D.B
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detectionThe correct answer is B. Object detection.
Object detection is a type of computer vision that can be used to locate and identify objects within an image or video. It involves drawing a bounding box around an object in an image or video and classifying it as a specific object type.
In the case of determining the location of cars in an image, object detection would be an appropriate computer vision technique to use. Object detection can detect multiple objects in an image and determine their location and size accurately, which is necessary to estimate the distance between the cars.
Optical character recognition (OCR) is a computer vision technique used to convert text in an image into machine-readable text. OCR would not be appropriate for determining the location of cars in an image.
Image classification is a type of computer vision used to classify an entire image as a specific type. For example, an image of a dog could be classified as a "dog." Image classification would not be appropriate for determining the location of cars in an image.
Face detection is a computer vision technique used to detect faces in an image or video. Face detection would not be appropriate for determining the location of cars in an image.
Therefore, Object detection is the most appropriate technique to use for this scenario.