Computer Vision in ML MCQs With Answers

________ is a technique used to classify images into predefined categories.

The process of reducing the resolution of an image is called ________.

________ algorithms analyze the relationship between pixels in an image.

________ is a technique for enhancing image details at different scales.

________ is a technique used to preprocess images by altering their appearance without changing their content.

The IoU (Intersection over Union) metric is used to evaluate ________.

In image classification tasks, the softmax function is used in the ________ layer.

The Haar Cascade classifier is used for ________.

Feature maps in CNNs represent ________ extracted from images.

Object detection algorithms aim to ________ objects within images.

________ is used to detect edges in images by identifying sudden changes in pixel intensity.

Transfer learning in computer vision involves ________.

The term "bounding box" refers to a ________ that encloses an object in an image.

The ________ algorithm is used for feature matching between images.

Convolutional Neural Networks (CNNs) are primarily used for ________ tasks.

Optical Character Recognition (OCR) is used to ________.

________ techniques adjust image brightness and contrast automatically.

The process of removing noise and unwanted details from images is called ________.

In image segmentation, each pixel is assigned a ________.

Semantic segmentation aims to assign ________ to each pixel in an image.

In image processing, the Laplacian of Gaussian (LoG) filter is used for ________.

Image stitching combines multiple images into a ________ image.

________ algorithms are used to identify keypoints and descriptors in images.

The purpose of data augmentation in computer vision is to ________.

The process of transforming images into numerical data for machine learning is called ________.

In computer vision, the term "feature extraction" refers to ________.

The OpenCV library is commonly used for ________ tasks.

Region-based CNNs (R-CNNs) use ________ to propose regions likely to contain objects.

The primary advantage of using convolutional layers in CNNs is ________.

Depth estimation in computer vision is used to determine ________.

________ methods analyze the spatial arrangement of colors in images.

Histogram of Oriented Gradients (HOG) is used for ________ in images.

In image classification, the term "softmax" refers to a ________ function.

________ techniques are used to align images for comparison or processing.

________ is used to detect and correct distortion in images.

________ techniques are used to align images based on common features.

________ is used to describe the shape and structure of objects in images.

________ are used to transform images into a more manageable and informative representation.

________ methods analyze the statistical properties of textures in images.

________ is a technique that estimates the 3D structure of an object from a single image.