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Deep Learning for Computer Vision · End Term · 13 Apr 2025 · January 2025 term · Set 1-2

Question 12: Why might Segment Anything (SAM) be particularly useful …

Question 12

+2 marksOne correct option

Why might Segment Anything (SAM) be particularly useful in data annotation tasks compared to traditional segmentation models?

  1. A

    It produces perfect segmentation masks.

  2. B

    It can adapt to segment any object, even those not seen during training

  3. C

    It requires less computational resources

  4. D

    It automatically labels all objects in an image without user input

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Correct answer

  • B

    It can adapt to segment any object, even those not seen during training

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Question 12 of 47 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 13 Apr 2025, in the January 2025 term (IIT M IMPROVEMENT FN EXAM QIM2 13 Apr). It carries 2 marks.

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