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Oracle Exam 1Z0-1110-22 Topic 12 Question 33 Discussion

Actual exam question for Oracle's 1Z0-1110-22 exam
Question #: 33
Topic #: 12
[All 1Z0-1110-22 Questions]

You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat

a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

Show Suggested Answer Hide Answer
Suggested Answer: B, D, E

Contribute your Thoughts:

Willie
5 months ago
Haha, I wonder if the exam writer is trying to trick us with these options. Gotta keep your wits about you on these tests, am I right?
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Miesha
4 months ago
Yeah, it's always good to stay alert and read the options carefully during exams.
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Rikki
5 months ago
D) Adding labels to an image using object detection, by drawing bounding boxes to an image.
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Nieves
5 months ago
B) Adding a single label to an image.
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Ariel
5 months ago
A) Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
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Jimmie
5 months ago
I'm a bit confused about C. Isn't that the opposite of what the question is asking? If Data Labeling supports bounding boxes, then that can't be correct.
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Bettina
5 months ago
D) Adding labels to an image using object detection, by drawing bounding boxes to an image.
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Devorah
5 months ago
A) Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
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Catina
5 months ago
I'm not sure about C, but I think A, D, and E are valid methods.
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Angella
6 months ago
Hmm, I think B is also a valid option. Even if you're not drawing bounding boxes, you can still add a single label to an image.
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Devorah
5 months ago
I agree, adding a single label to an image is definitely a possible way to annotate in Data Labeling.
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Wenona
5 months ago
I think B is a valid option. You can add a single label to an image without drawing bounding boxes.
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Reena
6 months ago
I agree with An, those options make sense for image annotation.
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Arlene
6 months ago
I'm pretty sure the correct answers are A, D, and E. Data Labeling supports both semantic segmentation and object detection, which involve adding multiple labels to an image.
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Phuong
5 months ago
That's good to know, it's important to use the right annotation methods for accurate image recognition models.
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Vernice
5 months ago
Yes, Data Labeling supports semantic segmentation and object detection, allowing for multiple labels to be added to an image.
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Hollis
5 months ago
I think you're right, A, D, and E are the correct ways to annotate an image in Data Labeling.
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An
6 months ago
I think A, D, and E are possible ways to annotate an image.
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