Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.
Q 1/14
Score 0
In Which of the following images, the shades range starts with 0 and ends with 255?
30
Grayscale images
RGB images
Black and White images
High resolution images
Q 2/14
Score 0
<P>Which among the following images around us are made up of 3 primary colors of Red,Green and Blue?</P>
30
<P>Monochrome</P>
<P>Moving</P>
<P>Static</P>
<P>Colored</P>
Q 3/14
Score 0
<P>What does OpenCV stands for?</P>
30
<P>Open-Source Computer Vision</P>
<P>Open Computer Version</P>
<P>Open Computer vision</P>
<P>Open Compilation Version</P>
Q 4/14
Score 0
<P>Which of the following is commonly used in applications such as image retrieval and automated vehicle parking systems?</P>
30
<P>Classification</P>
<P>Object detection</P>
<P>Localization</P>
<P>Instance Segmentation</P>
Q 5/14
Score 0
<P>Which of the following is the most popular architecture used for image classification?</P>
30
<P>Computer vision</P>
<P>Neural Network</P>
<P>Data Science</P>
<P>Convolutional Neural Networks(CNNs)</P>
Q 6/14
Score 0
<P>Which of the following is an example of image classification in CV?</P>
30
<P>Self driving cars</P>
<P>Damage analysis</P>
<P>Face filters</P>
<P>Chatbots</P>
Q 7/14
Score 0
<P>Which of the following is an example of image classification in CV?</P>
30
<P>Trend setting</P>
<P>Price prediction</P>
<P>Photo albums in smartphones</P>
<P>Face lock in smartphone</P>
Q 8/14
Score 0
<P>Which layer reduces the dimensions of the input image while still retaining the important features?</P>
30
<P>Rectified Linear Unit</P>
<P>Convolutional Layer</P>
<P>CNN</P>
<P>Pooling Layer</P>
Q 9/14
Score 0
<P>Which of the following takes the features maps of the convolutional layer and generates the activation map by discarding all the negative number of the feature maps?</P>
30
<P>Convolutional Layer</P>
<P>Rectified Linear Unit</P>
<P>Feature Extractor Layer</P>
<P>Pooling Layer</P>
Q 10/14
Score 0
<P>What are neural networks?</P>
30
<P>Fully connected</P>
<P>Made up of artificial neurons</P>
<P>All of the above</P>
<P>A series of Hidden Layers</P>
Q 11/14
Score 0
<P>Match the following</P>
30
Users link answers
Q 12/14
Score 0
<P>A .......................... algorithm takes an image as input and output a collection of regions(or segments)</P>
30
<P>Computer Vision</P>
<P>OpenCV</P>
<P>Localisation</P>
<P>Segmentation</P>
Q 13/14
Score 0
<P>Each convolutional kernel is used to generate a ...................................... map based on input provided.</P>
30
<P>Pooling</P>
<P>activation</P>
<P>Road</P>
<P>kernel</P>
Q 14/14
Score 0
<P>Match the following:</P>
30
Users link answers
14 questions
Q.In Which of the following images, the shades range starts with 0 and ends with 255?
1
30 sec
Q.Which among the following images around us are made up of 3 primary colors of Red,Green and Blue?
2
30 sec
Q.What does OpenCV stands for?
3
30 sec
Q.Which of the following is commonly used in applications such as image retrieval and automated vehicle parking systems?
4
30 sec
Q.Which of the following is the most popular architecture used for image classification?
5
30 sec
Q.Which of the following is an example of image classification in CV?
6
30 sec
Q.Which of the following is an example of image classification in CV?
7
30 sec
Q.Which layer reduces the dimensions of the input image while still retaining the important features?
8
30 sec
Q.Which of the following takes the features maps of the convolutional layer and generates the activation map by discarding all the negative number of the feature maps?
9
30 sec
Q.What are neural networks?
10
30 sec
Q.Match the following
11
30 sec
Q.A .......................... algorithm takes an image as input and output a collection of regions(or segments)
12
30 sec
Q.Each convolutional kernel is used to generate a ...................................... map based on input provided.