访问:一个机器学习驱动的应用程序,在网站上提供可访问的图像

Shivam Singh, A. Bhandari, Nishith Pathak
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引用次数: 3

摘要

Web可访问性仍然是快速增长的互联网社区关注的主要问题。访问在线内容对许多人来说至关重要,因为他们每天都要从事各种各样的任务。内容可以是任何形式,如音频、视频、图像和文本。网站视口的主要部分通常包含图像,当在网页上创建图像元素时,有一系列标准和指导方针来提供有关这些图像的信息。然而,大多数网站并没有严格遵循无障碍准则,因此,网站要么不包含图像描述,要么提供的描述不足以向使用屏幕阅读器访问网页内容的视障人士传达其含义。在本文中,我们提出了一种解决方案,在完全不引人注目的环境中,借助机器学习为网站上的所有图像提供替代图像描述。该应用程序不需要任何设置,可以在静态和动态网站上使用。
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Accessify: An ML Powered Application to Provide Accessible Images on Web Sites
Web Accessibility remains a major concern of the rapidly growing Internet community. Accessing online content is crucial for many people as they engage in a variety of tasks every day. Content can be in any form, such as audio, video, images and text. A major portion of a website's viewport generally contains images, and there are set standards & guidelines for providing information about these images while creating image elements on a webpage. Yet, most websites do not strictly follow accessibility guidelines and, as a result, either a website contains no descriptions of images or the descriptions provided are not sufficient to convey the meaning to visually impaired people who use screen readers for accessing web content. In this paper, we propose a solution that provides alternate image descriptions to all images on a website with help of Machine Learning in a completely unobtrusive environment. The application does not require any setup and can be used on static as well as dynamic websites.
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