Artificial Intelligence For Engineering(KMC 101) Part 9

 Artificial Intelligence For Engineering(KMC 101) -Part 9



Q:1. Applications of face recognition system are


a. Security system
b. Attendance system
c. Smartphone’s unlocking system
d. Video surveillance system

1.a,b,c,d

2.a,b,c

3.b,c,d

4.d,a,b

Solution- 1.a,b,c,d

Reason- Attendance system, video surveillance system, Smartphone’s unlocking system and Security system all 4 are the application of face recognition system.


Q:2. Image recognition steps are


a. Extract pixel features from an image
b. Prepare labeled images for training data
c. Train the model to be able to categorize images
d. None of the above

1.a,b,c

2.b,c,d

2.d,a,b

2.d,a,c

Solution- 1. a,b,c

Reason- All the above options a, b and c are true.


Q:3. Applications of image recognition system are
a. Driverless car technology
b. Document clustering
c. Gaming
d. All the above

1.a,b

2.b,c

3.a,c

4.c,d

Solution- 3. a, c

Reason- Developers of self-driving cars use vast amounts of data from image recognition systems, along with machine learning and neural networks, to build systems that can drive autonomously. The gaming arena has started using image recognition technology coupled with augmented reality to their advantage, as it helps to provide gamers with a realistic experience.


Q:4. Object detection
a. It is a computer vision technique that allows us to identify and locate objects in an image or video
b. Object detection allows us to at once classify the types of things found while also locating instances of them within the image
c. Draws a box around each object whereas image recognition assigns a label to an image
d. It has a capability which enables a program to process human speech into a written format

3.a,c,d

1.a,b,c

2.b,d,a

4.b,c,d

Solution- 1.a,b,c

Reason- Locate the presence of objects with a bounding box and types or classes of the located objects in an image. It also allows us to identify and locate objects in an image or video. It allows us to at once classify the types of things found while also locating instances of them within the image.


Q:5. Applications of object detection are
a. Video surveillance

b. Crowd counting

c. Spam/Non-spam classification

d. Self-driving cars

1.a,b,c

2.a,b,d

3.a,c,d

4.b,c,d

Solution- 2. a,b,d

Reason- Object Detection algorithms detect various types of objects for video surveillance applications. The Nanonets API allows you to build Object Detection models with ease in crowd counting. It is also used in self driving cars.


Q:6. Methods for object detection are

1.Viola–Jones method

2.Deep Learning approaches

3.Both (a) and (b)

4.None of the above

Solution- 3.Both (a) and (b)

Reason- The Viola–Jones object detection framework is an object detection framework which was proposed in 2001 by Paul Viola and Michael Jones. Deep learning approach, is widely used one, for detecting objects in images


Q:7. In which step of the processing, assigning a label (e.g., “dog”) to an object based on its descriptors is done?

1.Object recognition

2.Morphological processing

3.Segmentation

4.Representation

Solution- 1. Object recognition

Reason- Object recognition step of the processing, assigning a label (e.g., “dog”) to an object based on its descriptors is done


Q:8. What is the first and foremost step in Image Processing?

1.Morphological processing

2. Compression

3.Image acquisition

4.Image enhancement

Solution- 3. Image acquisition

Reason- Image acquisition is the first and foremost step in Image Processing.


Q:9. Image recognition tools are:


a. Clarifai

b. IBM Watson Visual Recognition

c. Amazon Lex

d. Scikit-image

1.a,b,c

2.b,c,d

3.a,b,d

4.d,a,c

Solution- 3.a,b,d

Reason- scikit-image is a collection of algorithms for image processing. IBM Watson Visual Recognition is a tool that allow users to automatically identify subjects and objects contained within the image and organize and classify these images into logical categories. By leveraging the power of Clarifai’s image classification tools you can train your apps to recognize just about anything.


Q:10. Choose an incorrect statement

1.Image detection involves predicting the class of one object in an image.

2.Object localization refers to identifying the location of one or more objects in an image and drawing abounding box around their extent

3.Object detection combines these two tasks and localizes and classifies one or more objects in an image

4.Detection is the process of identification and classification is the categorization of the object based on a previously defined classes or types

Solution- 2. Object localization refers to identifying the location of one or more objects in an image and drawing abounding box around their extent

Reason- All the above are correct except the second one.

Disclaimer-

This article only attempts to discover some questions that can be generated in Artificial Intelligence For Engineering with the answer to all these questions. There can be some errors to these answers. If you find any error then please do write to us.

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