Worksheet: Computer Vision | Artificial Intelligence for Class 10 PDF Download

Multiple Choice Questions

Q.1: Which of the following is an application of computer vision in smart homes?
a) Weather forecasting
b) Facial recognition for security
c) Voice command processing
d) Temperature control  

Q.2: What is the primary function of Google’s Search by Image feature?
a) To edit images
b) To compare image features with a database for search results
c) To translate text in images
d) To generate new images  

Q.3: Which computer vision task involves assigning a single label to an input image?
a) Object Detection
b) Instance Segmentation
c) Image Classification
d) Classification + Localisation  

Q.4: What is the smallest unit of information in a digital image?
a) Byte
b) Pixel
c) Bit
d) Kernel  

Q.5: What is the pixel value range for an 8-bit grayscale image?
a) 0 to 100
b) 0 to 255
c) 0 to 512
d) 0 to 1024  

Q.6: Which library is used for image processing tasks like resizing and cropping?
a) NumPy
b) Pandas
c) OpenCV
d) Matplotlib  

Q.7: What is the purpose of the convolution operation in image processing?
a) To resize the image
b) To extract features from the image
c) To convert the image to grayscale
d) To classify the image  

Q.8: Which layer in a Convolutional Neural Network (CNN) is responsible for reducing the spatial size of the feature map?
a) Convolution Layer
b) Rectified Linear Unit (ReLU) Layer
c) Pooling Layer
d) Fully Connected Layer  

Q.9: What does the ReLU layer do in a CNN?
a) Reduces image size
b) Removes negative values from the feature map
c) Classifies the image
d) Extracts high-level features  

Q.10: Which image feature is considered the easiest to locate due to its distinct appearance?
a) Flat surfaces
b) Edges
c) Corners
d) Blobs  

Fill in the Blanks

Q.1: Computer vision enables machines to process and analyze ______ data.  

Q.2: The process of ______ is used in Google Translate to recognize text in images.  

Q.3: In an RGB image, each pixel is represented by three values corresponding to the ______, ______, and ______ channels.  

Q.4: A ______ is a matrix slid across an image to perform convolution for feature extraction.  

Q.5: The ______ layer in a CNN flattens the convolution/pooling output into a single vector for classification.  

True or False 

Q.1: Computer vision was first introduced in the 1990s.  

Q.2: Grayscale images have three channels representing red, green, and blue.  

Q.3: The convolution operation multiplies an image array with a kernel to produce a new array.  

Q.4: The Pooling Layer in a CNN increases the spatial size of the feature map.  

Q.5: Corners are considered good features in image processing because they are easy to locate.  

Short Answer Questions

Q.1: What is the role of computer vision in inventory management for retail?  

Q.2: Explain the difference between Object Detection and Instance Segmentation.  

Q.3: How is resolution defined in the context of digital images?  

Q.4: What is the purpose of the ReLU layer in a Convolutional Neural Network?  

Q.5: Why are corners considered better features than edges in image processing?  

Long Answer Questions

Q.1: Describe three applications of computer vision and explain how they utilize image processing.  

Q.2: Explain the process of how the Google Translate app uses computer vision to translate text in images.  

Q.3: Discuss the structure of an RGB image and how it differs from a grayscale image in terms of storage and pixel values.  

Q.4: Describe the convolution operation and how it is used to extract features from an image, including the role of the kernel.  

Q.5: Explain the layers of a Convolutional Neural Network (CNN) and their roles in processing an input image for classification.