Online Access Free H13-321_V2.5 Exam Questions

Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?

• A.When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
• B.When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
• C.Gamma correction applies only to grayscale images and does not apply to color images.
• D.Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.

Which of the following methods are useful when tackling overfitting?

• A.Using parameter norm penalties
• B.Using dropout during model training
• C.Using more complex models
• D.Data augmentation

If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
shape[:2] can be used to obtain the image size.

• A.TRUE
• B.FALSE

Which of the following statements about the standard normal distribution are true?

• A.The variance is 1.
• B.The mean is 1.
• C.The mean is 0.
• D.The variance is 0.

The technologies underlying ModelArts support a wide range of heterogeneous compute resources, allowing you to flexibly use the resources that fit your needs.

• A.TRUE
• B.FALSE