An Analysis of How Artificial Intelligence is Used in the Field of Image Identification

Swarnima Mishra
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Abstract

Humans are adept at recognizing and detecting items that are right in front of them. People are extremely aware of how quickly and accurately the human visual system can carry out difficult tasks like object recognition and identification. But imagine a scenario in which they must retrieve a ring from a table that contains various-sized boxes and other objects. It will take a while to look for the key, and they will encounter several challenges. With the help of a computer program, one can quickly locate a ring, and with the help of a large quantity of data and an algorithm, one can quickly train datasets to accurately recognize and categorize a variety of items. Machine learning (ML) and artificial intelligence (AI) are current trends. The most well-known area of artificial intelligence is computer vision. Computer science and software that can detect and comprehend pictures are known as "computer vision." It also has object detection, imagine recognition, and more. Author of the paper has tried to describe the ideas behind contemporary object detection, object categorization, and object recognition.
人工智能在图像识别领域的应用分析
人类善于识别和探测近在眼前的事物。人们非常清楚人类视觉系统在执行物体识别和识别等困难任务时是多么迅速和准确。但是想象一下这样一个场景:它们必须从包含各种大小的盒子和其他对象的表中检索一个环。寻找钥匙需要一段时间,他们会遇到一些挑战。在计算机程序的帮助下,人们可以快速定位一个戒指,在大量数据和算法的帮助下,人们可以快速训练数据集,以准确识别和分类各种物品。机器学习(ML)和人工智能(AI)是当前的趋势。人工智能最著名的领域是计算机视觉。能够检测和理解图片的计算机科学和软件被称为“计算机视觉”。它还具有对象检测、想象识别等功能。本文的作者试图描述当代目标检测、目标分类和目标识别背后的思想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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