
AI Image Generator Quiz
Authored by Kai Chi Eagle CHAN
Computers
10th Grade
Used 2+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some image preprocessing techniques used in AI image generation?
Normalization, resizing, and data augmentation
Color inversion and grayscale conversion
Sharpening and blurring
Flipping and rotating
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the ethical considerations in AI image generation.
Using only images of a certain race or gender
Not obtaining consent for using images
Ethical considerations in AI image generation include addressing issues of bias, privacy, and consent.
Ignoring privacy concerns
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can the quality of pictures be improved in AI image generation?
By using outdated technology and software
By training the AI model with only one type of image
By using lower resolution images and less diverse data
By using higher resolution images and training the AI model with more diverse and representative data.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the importance of data cleaning in AI image generation?
To add more errors and inconsistencies to the training data
To slow down the AI image generation process
To ensure that the training data is accurate and free from errors or inconsistencies.
To make the training data less accurate
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Discuss the role of convolutional neural networks in AI image generation.
CNNs are not used in AI image generation
CNNs can only generate images that are similar to the training data
CNNs are only used for image classification, not generation
CNNs learn and extract features from input images, enabling the generation of new images based on the learned features.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some potential biases that can arise in AI image generation, and how can they be mitigated?
Using diverse and representative training data, implementing bias detection algorithms, and involving diverse teams in the development process
Ignoring the diversity of the training data
Involving a homogenous team in the development process
Implementing biased detection algorithms
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of style transfer in AI image generation.
Style transfer is the process of converting images into text
Style transfer is the process of blending two images together to create a new one
Style transfer is the process of removing all artistic elements from an image
Style transfer is the process of applying the artistic style of one image to the content of another image.
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