A hospital wants an AI system to examine chest X-ray images and draw a bounding box around any region suspicious for pneumonia, so radiologists can quickly see where to focus. Which computer vision capability directly supports this requirement?
Select an answer to reveal the explanation.
Short Explanation
You need a capability that both spots the suspicious area and puts a bounding box on it. Object detection does that by finding and localizing regions in an image, so radiologists can focus fast.
Full Explanation
Object detection is correct because it identifies what is present in an image and locates it by drawing a bounding box around the region of interest, matching the hospital's need to highlight the suspicious area on the X-ray for the radiologist. Image classification is incorrect because it assigns a single label to the entire image, such as 'pneumonia present' or 'normal', without indicating where in the image the finding is located, so it cannot draw a bounding box. Optical character recognition is incorrect because it extracts printed or handwritten text from images, which is irrelevant to identifying a visual abnormality in lung tissue. Facial recognition is incorrect because it is a specialized technique for identifying or verifying human faces and has no application to interpreting anatomical structures on a radiograph.