Image Segmentation MCQs With Answers

Computer MCQs 360April 5, 2024

0 83 1 minute read

Welcome to the Image Segmentation MCQs with Answers. In this post, we have shared Image Segmentation Online Test for different competitive exams. Find practice Image Segmentation Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Image Segmentation.

Image Segmentation Online Quiz

By presenting 3 options to choose from, Image Segmentation Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Image Segmentation Questions and Answers and click over the correct answer.

Test Name: Image Segmentation MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

Note: Answer of the questions will change randomly each time you start the test. Practice each quiz test at least 3 times if you want to secure High Marks. Once you are finished, click the View Results button. If any answer looks wrong to you in Quizzes. simply click on question and comment below that question. so that we can update the answer in the quiz section.

Image Segmentation

Please fill out the form before starting Quiz.

1 / 40

What is image segmentation in computer vision?

Extracting feature descriptors

Dividing an image into meaningful segments (correct)

Enhancing image resolution

2 / 40

Which technique is used for reducing memory consumption in deep image segmentation networks?

Residual Connection

Atrous Convolution

Depthwise Separable Convolution (correct)

3 / 40

What does ENet stand for in the context of lightweight image segmentation networks?

Efficient Neural Network (correct)

Enhanced Network

Expanded Network

4 / 40

What does GAN stand for in the context of image segmentation enhancement?

Global Adjustment Network

Gradient Adjustment Network

Generative Adversarial Network (correct)

5 / 40

What is the primary advantage of using CRF in post-processing for image segmentation?

Enhancing color contrast

Reducing computational cost

Improving spatial coherence of segmentation (correct)

6 / 40

What is the purpose of post-processing techniques like Conditional Random Fields (CRF) in image segmentation?

Enhancing model performance

Feature extraction refinement

Smoothing segment boundaries (correct)

7 / 40

Which evaluation metric is used for assessing the quality of segmentation masks in biomedical imaging?

Dice Coefficient (correct)

Precision

Recall

8 / 40

What does PSPNet stand for in the context of image segmentation?

Pixel Segmentation Network

Pyramid Scene Parsing Network (correct)

Patch Selection Perception Network

9 / 40

Which deep learning framework is commonly used for image segmentation tasks?

PyTorch

Keras

TensorFlow (correct)

10 / 40

Which technique is used for improving segmentation accuracy by refining boundaries?

Boundary refinement (correct)

Pixel classification

Feature extraction

11 / 40

What does IoU measure in the context of image segmentation evaluation?

Mean Average Precision

Dice Coefficient

Intersection over Union (correct)

12 / 40

What is the purpose of semantic segmentation in computer vision?

Classifying each pixel into a category (correct)

Enhancing image contrast

Detecting objects

13 / 40

Which technique is used for instance segmentation, where objects of the same class are individually segmented?

FCN

U-Net

Mask R-CNN (correct)

14 / 40

What is the purpose of skip connections in U-Net architecture?

Facilitating gradient flow and preserving spatial information (correct)

Enhancing feature extraction

Reducing model size

15 / 40

What does FCN stand for in the context of semantic segmentation?

Fully Connected Network

Fully Convolutional Network (correct)

Fast Convolutional Network

16 / 40

What does CRF stand for in the context of post-processing in segmentation networks?

Conditional Random Field (correct)

Cross-Reference Framework

Convolutional Response Filter

17 / 40

Which technique is used for handling class imbalance in image segmentation datasets?

Cross-Entropy Loss

Dice Loss (correct)

Mean Squared Error

18 / 40

Which technique is used for refining object boundaries in image segmentation networks?

Pixel classification

Boundary refinement (correct)

Feature extraction

19 / 40

Which algorithm combines object detection and image segmentation?

Mask R-CNN (correct)

SSD

YOLO

20 / 40

What is the primary use of instance segmentation in autonomous driving applications?

Estimating scene depth

Enhancing road visibility

Identifying and tracking individual objects (correct)

21 / 40

Which evaluation metric is commonly used to measure the accuracy of segmentation algorithms?

F1 score

Mean Absolute Error

Intersection over Union (IoU) (correct)

22 / 40

What is the primary advantage of using DeepLabV3+ over DeepLabV3 in image segmentation?

Improved boundary delineation (correct)

Faster inference time

Lower memory usage

23 / 40

Which algorithm is known for its ability to segment images at multiple scales?

DeepLab (correct)

Mask R-CNN

SegNet

24 / 40

Which algorithm is known for its ability to segment images while preserving fine details?

DeepLab (correct)

U-Net

FCN

25 / 40

Which algorithm is known for its speed and accuracy in real-time video semantic segmentation?

YOLO

DeepLab (correct)

Mask R-CNN

26 / 40

What is the primary advantage of using Mask R-CNN over traditional R-CNN for segmentation tasks?

Ability to generate instance-level masks (correct)

Faster inference time

Higher precision

27 / 40

Which algorithm is known for its ability to segment objects with irregular shapes?

SegNet

U-Net

DeepLab (correct)

28 / 40

Which technique is used for improving the efficiency of image segmentation networks by reducing redundant computations?

Residual Connection

Depthwise Separable Convolution (correct)

Dilated Convolution

29 / 40

What is the purpose of dilated convolutions in image segmentation networks?

Enlarging the receptive field without increasing parameters (correct)

Accelerating training time

Enhancing image resolution

30 / 40

Which algorithm is suitable for real-time semantic segmentation applications?

SegNet

DeepLab (correct)

U-Net

31 / 40

What is the primary use of PSPNet in image segmentation tasks?

Capturing global context information (correct)

Improving feature extraction

Enhancing image resolution

32 / 40

What is the primary advantage of using U-Net architecture for biomedical image segmentation?

Low memory usage

Handling small datasets effectively (correct)

High computational cost

33 / 40

Which technique is used for improving segmentation performance by capturing long-range dependencies?

Depthwise Separable Convolution

Inception Module

Atrous Convolution (correct)

34 / 40

Which algorithm is suitable for pixel-level segmentation with minimal training data?

FCN (Fully Convolutional Network) (correct)

DeepLab

U-Net

35 / 40

Which technique is used for refining segmentation masks by considering pixel-wise dependencies?

U-Net

Conditional Random Fields (CRF) (correct)

Atrous Convolution

36 / 40

What is the primary advantage of using FCN over traditional CNN architectures for segmentation?

Faster computation

Retaining spatial information (correct)

Higher memory efficiency

37 / 40

What is the primary challenge of semantic segmentation in natural scenes with varying lighting conditions?

Object occlusion

Illumination variation (correct)

Image noise

38 / 40

Which algorithm is used for medical image segmentation with a focus on boundary delineation?

DeepLab

Boundary U-Net (correct)

PSPNet

39 / 40

What is the primary difference between semantic segmentation and instance segmentation?

Instance segmentation enhances image quality

Semantic segmentation labels objects

Instance segmentation separates individual objects (correct)

40 / 40

Which algorithm is known for its efficiency in medical image segmentation tasks?

U-Net (correct)

DeepLab

FCN

Download Certificate of Quiz Image Segmentation

On the end of Quiz, you can download the certificate of the quiz if you got more than 70% marks. Add a certificate to your job application or social profile (like LinkedIn) and get more job offers.

Download Image Segmentation MCQs with Answers Free PDF

You can also download 100 Image Segmentation Questions with Answers free PDF from the link provided below. To Download file in PDF click on the arrow sign at the top right corner.

If you are interested to enhance your knowledge regarding English, Physics, Chemistry, and Biology please click on the link of each category, you will be redirected to dedicated website for each category.

Computer MCQs 360April 5, 2024

0 83 1 minute read