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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #65

You need to build an object detection model for a small startup company to identify if and where the company's logo appears in an image. You were given a large repository of images, some with logos an

The correct answer is A. Use Google Cloud's Data Labelling Service to label your data. Use AutoML Object Detection to. A is correct as this will allow you to easily create a request for a labelling task and deploy a high- performance model. B is not correct because Vision API is not guaranteed to work with any company logos, and in the statement it explicitly mentions a small startup, which will

Submitted by haru.x· Apr 18, 2026ML pipeline operationalization

Question

You need to build an object detection model for a small startup company to identify if and where the company's logo appears in an image. You were given a large repository of images, some with logos and some without. These images are not yet labelled. You need to label these pictures, and then train and deploy the model. What should you do?

Options

  • AUse Google Cloud's Data Labelling Service to label your data. Use AutoML Object Detection to
  • BUse Vision API to detect and identify logos in pictures and use it as a label. Use AI Platform to
  • CCreate two folders: one where the logo appears and one where it doesn't. Manually place images
  • DCreate two folders: one where the logo appears and one where it doesn't. Manually place images

How the community answered

(49 responses)
  • A
    80% (39)
  • B
    12% (6)
  • C
    6% (3)
  • D
    2% (1)

Explanation

A is correct as this will allow you to easily create a request for a labelling task and deploy a high- performance model. B is not correct because Vision API is not guaranteed to work with any company logos, and in the statement it explicitly mentions a small startup, which will further decrease the chance of success. C is not correct because the task of manually labelling the data is time consuming and should be avoided if possible. D is not correct because the task of labelling object detection data is very tedious, and real time object detection is designed detecting objects in videos rather than in images. https://cloud.google.com/ai-platform/data-labeling/docs

Topics

#Object Detection#Data Labeling#AutoML#ML Pipeline

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