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Oracle Exam 1Z0-1110-22 Topic 4 Question 27 Discussion

Actual exam question for Oracle's 1Z0-1110-22 exam
Question #: 27
Topic #: 4
[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:

Cecil
5 months ago
I believe the reason why drawing multiple bounding boxes is not supported is because it can lead to confusion in labeling.
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Gilbert
6 months ago
I feel confident about these options. They cover a range of annotation methods that can be useful for different types of image recognition tasks.
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Zona
6 months ago
I agree with Cecil. Semantic segmentation, single label, and object detection are all valid ways to annotate images.
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Cecil
6 months ago
I think options A, B, and D are possible ways to annotate an image in Data Labeling.
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Rashad
6 months ago
I prefer adding multiple labels to an image for better understanding of the objects.
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Casie
6 months ago
Adding labels using semantic segmentation could be helpful for detailed annotations.
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Glynda
7 months ago
I agree with those options make sense for image annotation.
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Shanda
7 months ago
I think the possible ways to annotate an image in Data Labeling are A, B, and D.
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Ronald
8 months ago
Alright, let's get back to the question at hand. I think the key thing to remember here is that Data Labeling is designed specifically for image annotation, so the options that involve actually drawing on the images are the ones that are going to be supported. Adding a single label or multiple labels are both valid ways to annotate, but the bounding box methods are the real meat and potatoes of what Data Labeling can do.
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Stefania
8 months ago
Good point, Octavio! And I can just imagine someone trying to add labels to their images by printing them out and physically cutting and pasting them on. These tech exams really do bring out the creative problem-solving skills, don't they?
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Deja
7 months ago
B) Adding a single label to an image.
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Audra
7 months ago
D) Adding labels to an image using object detection, by drawing bounding boxes to an image.
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Dawne
7 months ago
A) Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
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Octavio
8 months ago
Haha, you know, I bet there's going to be at least one person in this exam who tries to use Data Labeling to annotate their images by writing the labels on a post-it note and sticking it to the screen. That's definitely not going to work!
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Chaya
8 months ago
Yeah, I'm pretty sure option C is wrong, since Data Labeling does support drawing bounding boxes to label images. As for option B, I'm not sure if that's considered a separate annotation method or if it's just a special case of the other options.
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Cherri
8 months ago
I agree with Zack. Data Labeling supports both semantic segmentation, where you can draw multiple bounding boxes to label different parts of an image, and object detection, where you can draw bounding boxes around individual objects in an image. And you can definitely add multiple labels to a single image.
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Zack
8 months ago
This question seems pretty straightforward, but I can already see some potential for confusion. I think options A, D, and E are the correct answers, as they all involve different ways of annotating images using Data Labeling.
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