Exam AI-900 topic 1 question 183 discussion

Object detection is an extension of image classification. The question is asking what is used to "identify" multiple types of items not locating where they are in the image. I think the answer is Image Classification Image classification: Identifying to which category an image belongs. Object detection: Locating individual objects within an image w/ bounding boxes Captioning: Generating appropriate descriptions of images. Tagging: Compiling a list of relevant text tags for an image.

1. Object detection https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found in the image. For example, if an image contains a dog, cat and person, the Detect operation will list those objects 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 object in an image.

Correct answer https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

This is multiclass classification as it says "identify" only and not also "locate". Hence the answer must be "Image Classification". Object detection both identifies and locates the object.

Object detection [Correct]