An ML engineer performing supervised learning needs to label images of football games based on the location of the football in the image. Which ONE of the below labeling approaches can be used?

The correct answer is B. Annotation. Annotation is the correct labeling approach for supervised learning, as it involves manually labeling the images with the correct information, such as marking the location of the football in the image. This labeled data can then be used to train a machine learning model.

Machine Learning (ML)

Question

Options

AInternal
BAnnotation
CAugmentation
DBenchmarking

How the community answered

(67 responses)

A
9% (6)
B
84% (56)
C
3% (2)
D
4% (3)

Explanation

Annotation is the correct labeling approach for supervised learning, as it involves manually labeling the images with the correct information, such as marking the location of the football in the image. This labeled data can then be used to train a machine learning model.

Topics

#data labeling#annotation#supervised learning#image data

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