A museum is building a mobile app feature that, when a visitor points their phone camera at an exhibit placard, must (1) produce a one-sentence natural-language description of what the photo shows and (2) pull out any printed text visible on the placard, such as the artifact's name and date. Which two AI capabilities does this feature require? (Select TWO.)
Select all correct answers, then click Submit.
Short Explanation
Read the requirement carefully and notice it's really two separate jobs bundled into one feature. First, the app has to produce a flowing sentence describing the scene, which calls for a capability built to turn an image into natural language rather than a single word or a box. Second, and completely separately, the app has to pull the actual printed characters off the placard, the artifact's name and date, which calls for a capability built to read text out of pictures. A single category label wouldn't give you a full sentence, and locating objects with boxes wouldn't give you either a sentence or the printed words. Because the museum wants both a description and the extracted text from the same photo, you need both capabilities working together, not either one alone.
Full Explanation
The correct answers are A and B. The feature has two distinct requirements: generating a one-sentence natural-language description of the photo, which is precisely what image captioning produces, and extracting the printed name and date from the placard, which is precisely what optical character recognition performs by reading text embedded in an image. Both capabilities are needed together because neither alone covers both requirements. Option C is incorrect because object detection would locate and box individual objects in the frame, such as the placard itself or a nearby sculpture, but it does not generate a descriptive sentence and it does not read the words printed on the placard. Option D is incorrect because image classification would return a single category label like 'museum exhibit' or 'sculpture', which falls short of a full descriptive sentence and, like object detection, has no capability to extract printed text. Only the pairing of image captioning and optical character recognition satisfies both stated requirements of the museum's feature: a natural-language description and text extraction from the same photo.