Detect Feature Limitations - AI-102 Exam Answer Choices:

"Noisy or low-resolution images"

Question

You have a large selection of images.

You use the Detect feature of Analyze API in your application to get the coordinates of the objects.

However certain objects are not identified due to the limitations in the image detection process.

Review the answer choices given below and select possible limitations.

(select two answer choices)

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answers: B and D.

Option A is incorrect because the detect feature of Analyze API can identify bounded coordinates of a dog, cat or a person.

Option B is correct because if the object size is too small, the detect feature generally does not detect the object and its bounded coordinated.

Option C is incorrect because objects that are closely aligned together, such as a stack of plates, would pose a constraint in identifying the bounded coordinates.

However, in this case since the plates are stacked far apart, there is no constraint.

Option D is correct because brands are not detected by the detect feature.

In order to identify the detergents based on brands you would need to use the Brand Detection feature.

Reference:

To learn more about detecting common objects using detection features, use the link given below:

The limitations of the image detection process depend on various factors, such as the quality of the image, the complexity of the object, the lighting conditions, and the algorithms used in the detection process.

In this scenario, the Detect feature of Analyze API is being used to identify objects in images. However, certain objects are not being identified due to limitations in the detection process.

The answer choices given are:

A. Object contains an image of a cat B. Object is less than five percent of the image C. Object has plates stacked far apart D. Object has different types of detergents.

Out of these choices, the possible limitations in the image detection process can be:

B. Object is less than five percent of the image If the object is very small and takes up less than five percent of the image, it may not be detected accurately by the detection algorithm.

D. Object has different types of detergents. If the object has multiple types of detergents that are visually similar, the detection algorithm may not be able to accurately distinguish between them, leading to incorrect identification or no identification at all.

A and C are less likely to be limitations in this scenario. An image of a cat is not related to the image detection process, and the distance between plates does not seem relevant either.

Overall, limitations in the image detection process can occur due to various factors, and it is essential to understand them to ensure accurate identification of objects in images.