Image Classification Versus Object Detection Versus Semantic Segmentation

The video tutorial covers three main types of computer vision solutions: image classification, object detection, and semantic segmentation. Image classification involves identifying the primary object in an image using a trained model. Object detection extends this by locating objects within an image and providing their coordinates. Semantic segmentation further advances object detection by associating each pixel with a tagged object. The tutorial also discusses practical applications and provides interactive scenarios to reinforce understanding.

Which computer vision solution is built on top of image classification?

• Semantic Segmentation

• Image Enhancement

• Optical Character Recognition

• Object Detection

What is the primary function of image classification?

• To retrieve text from scanned documents

• To categorize images based on the primary object

• To enhance image quality

• To identify the position of objects in an image

What additional information does object detection provide compared to image classification?

• Image enhancement

• Pixel-level classification

• Object coordinates

• Text retrieval

Which computer vision technique associates each pixel with a tagged object?

• Optical Character Recognition

• Semantic Segmentation

• Object Detection

• Image Classification

In which application is semantic segmentation commonly used?

• Product identification

• Text recognition

• Image enhancement

• Self-driving cars

What is the main difference between image classification and object detection?

• Object detection enhances image quality

• Image classification retrieves text

• Object detection provides object coordinates

• Image classification is used for self-driving cars

Which computer vision solution is used to find people wearing face masks in a room?

• Object Detection

• Semantic Segmentation

• Image Classification

• Optical Character Recognition

What is the purpose of training a classification model with images of vehicles with different levels of damage?

• To assess the level of damage

• To identify the manufacturer

• To enhance vehicle images

• To detect vehicle coordinates

Which service is designed to retrieve text from scanned documents?

• Image Classification

• Optical Character Recognition

• Object Detection

• Semantic Segmentation

What is the expected type of questions in the exam related to computer vision?

• Code-based questions

• Scenario-based questions

• Image enhancement questions

• Portal-related questions