Page 272 - AI Ver 1.0 Class 10
P. 272
Exercise
Brainy Fact
Solved Questions
The first image recognition CNN-AlexNet named after(creator-Alex Krizhevsky), won the 2012 ImageNet
computer vision contest with 85% accuracy. SECTION A (Objective Type Questions)
uiz
Testing CNN A. Tick ( ) the correct option.
Go to the link http://scs.ryerson.ca/~aharley/vis/conv/flat.html to see how a number written by you is identified 1. In which of the following images, the shades range starts with 0 and ends with 255?
based on the classification done by Convolutional Neural Network.This will help you analyse how different layers a. Grayscale images b. RGB images
actually work in coordination efficiently and it is practically implemented in the real world. c. Black and white images d. High resolution images
2. Which among the following images around us are made up of 3 primary colors of Red, Green and Blue?
a. Moving b. Static
Video Session
c. Monochrome d. Colored
Watch this video,
3. What does OpenCV stands for?
Visit https://www.youtube.com/watch?v=YRhxdVk_sIs or scan the QR code and answer a. Open Computer Vision b. Open-Source Computer Vision
the given question.
c. Open Compilation Version d. Open Computer Version
What do you understand by CNN?
4. Which of the following is commonly used in applications such as image retrieval and automated vehicle
parking systems?
a. Instance Segmentation b. Object detection
At a Glance c. Localization d. Classification
5. Which of the following is the most popular architecture used for image classification?
• Computer Vision means giving the ability to the computer to see the world just like humans. a. Neural Networks b. Computer Vision
• The Computer Vision applications are based on a certain number of tasks performed on an input image to get the
desired output which can be used to do predictions or analysis of data. c. Data Sciences d. Convolutional Neural Networks (CNNs)
• Pixel stands for “Picture Element”. It is the smallest unit of information in a digital image. 6. Which of the following is not an application of CV?
• An image is a visual representation of any object. The term ‘image’ means a picture that has been created or stored a. Face filters b. Damage analysis
in electronic form.
• Every colored image that is stored can be split into 3 different channels, i.e., Red (R), Green (G) and Blue (B), with c. Chatbots d. Self driving cars
different intensities. 7. Which of the following is an example of image classification in CV?
• In computer vision an image feature is simply a piece of information about the content of an image. It can be an
edge, corners, start point or end point that can be taken. a. Price prediction b. Photo albums in smartphones
• OpenCV stands for Open-Source Computer Vision Library, originally developed by Intel and officially launched c. Trend setting d. Facelock in smartphone
in 1999. It is an open-source software library for computer vision and machine learning that helps a computer 8. Which layer reduces the dimensions of the input image while still retaining the important features?
understand the content of digital images like photographs and videos.
• The imread() function read the image and loads it into the computer’s memory. a. Rectified Linear Unit b. CNN
• Resizing means increasing or decreasing the size of the image in the given frame.It can be done by using resize() c. Convolution Layer d. Pooling Layer
function.
• Convolution is defined as a simple Mathematical operation that multiplies two numeric arrays of the same dimensions 9. Which of the following takes the features maps of the convolutional layer and generates the activation map by discarding
but different sizes to produce a third numeric array of the same dimensions. all the negative numbers of the feature maps?
• Kernel is also known as a convolution matrix or mask that will help you in image processing by creating a wide range a. Pooling layer b. Rectified Linear Unit
of effects like sharp, blur, masking etc. c. Convolution Layer d. Feature Extractor layer
• Neural Networks are a series of algorithms used to recognise hidden patterns in raw data, cluster and classify it, and
continuously learn and improve. 10. What are neural networks?
• Convolutional Neural Network is a type of an Artificial Neural Network and is made up of neurons that help in image a. A series of Hidden Layers b. Made up of artificial neurons
recognition and image processing. c. Fully connected d. All of the above
270 Touchpad Artificial Intelligence-X

