Which correctly distinguishes image classification from object detection?
A.Classification labels the whole image; object detection locates and labels individual objects with bounding boxes
Correct — whole-image label vs localized objects.
B.They're identical — different names for the same task
Distinct tasks with distinct outputs.
C.Object detection labels the whole image; classification finds objects
Reversed — detection localizes objects, classification labels the image.
D.Classification works on video only
Classification works on still images too.
Why this answer
Classification answers 'what is this image of' — one label per image. Object detection answers 'what objects are where' — bounding boxes + labels per instance. Semantic segmentation goes further (per-pixel labels); OCR extracts text.
Correct answer: A · Last reviewed 2026-02-14
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