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CHAPTER 1. LICENSE PLATE RECOGNITION SYSTEMS AND TECHNOLOGIESBog'liq m12CHAPTER 1. LICENSE PLATE RECOGNITION SYSTEMS AND TECHNOLOGIES
Recognition systems based on artificial intelligence
What is AI Image Recognition? Image Recognition AI is the task of identifying objects of interest within an image and recognizing which category the image belongs to. Image recognition, photo recognition, and picture recognition are terms that are used interchangeably.
When we visually see an object or scene, we automatically identify objects as different instances and associate them with individual definitions. However, visual recognition is a highly complex task for machines to perform, requiring significant processing power. Image recognition work with artificial intelligence is a long-standing research problem in the computer vision field. While different methods to imitate human vision evolved, the common goal of image recognition is the classification of detected objects into different categories (determining the category to which an image belongs). Therefore, it is also called deep learning object recognition.
In past years, machine learning, in particular deep learning technology, has achieved big successes in many computer vision and image understanding tasks. Hence, deep learning image recognition methods achieve the best results in terms of performance (computed frames per second/FPS) and flexibility. Later in this article, we will cover the best-performing deep learning algorithms and AI models for image recognition.
In the area of Computer Vision, terms such as Segmentation, Classification, Recognition, and Object Detection are often used interchangeably, and the different tasks overlap. While this is mostly unproblematic, things get confusing if your workflow requires you to perform a particular task specifically.
Image Recognition vs. Computer Vision. The terms image recognition and computer vision are often used interchangeably but are different. Image recognition is an application of computer vision that often requires more than one computer vision task, such as object detection, image identification, and image classification.
Image Recognition vs. Object Localization. Object localization is another subset of computer vision often confused with image recognition. Object localization refers to identifying the location of one or more objects in an image and drawing a bounding box around their perimeter. However, object localization does not include the classification of detected objects.
Pic 1.1.1 Example of face detection with deep learning on a digital image
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