Computer Vision Concepts Flashcards
What is computer vision?
Computer vision is one of the core areas of artificial intelligence (AI), and focuses on creating solutions that enable AI-enabled applications to “see” the world and make sense of it.
How do AI perceive images?
To an AI application, an image is just an array of pixel values. These numeric values can be used as features to train machine learning models that make predictions about the image and its contents.
What are the applications of computer vision?
Image classification Object detection Semantic segmentation Image analysis Face detection, analysis, and recognition Optical character recognition (OCR)
What is Image classification?
Image classification involves training a machine learning model to classify images based on their contents. For example, in a traffic monitoring solution you might use an image classification model to classify images based on the type of vehicle they contain, such as taxis, buses, cyclists, and so on.
What is Object detection?
Object detection machine learning models are trained to classify individual objects within an image, and identify their location with a bounding box. For example, a traffic monitoring solution might use object detection to identify the location of different classes of vehicle.
What is Semantic segmentation?
Semantic segmentation is an advanced machine learning technique in which individual pixels in the image are classified according to the object to which they belong. For example, a traffic monitoring solution might overlay traffic images with “mask” layers to highlight different vehicles using specific colors.
What is Image analysis?
You can create solutions that combine machine learning models with advanced image analysis techniques to extract information from images, including “tags” that could help catalog the image or even descriptive captions that summarize the scene shown in the image.
What is Face detection, analysis, and recognition?
Face detection is a specialized form of object detection that locates human faces in an image. This can be combined with classification and facial geometry analysis techniques to infer details such as age, and emotional state; and even recognize individuals based on their facial features.
What is Optical character recognition (OCR)?
Optical character recognition is a technique used to detect and read text in images. You can use OCR to read text in photographs (for example, road signs or store fronts) or to extract information from scanned documents such as letters, invoices, or forms.
