AI Optics: Object recognition and caption generation for Blinds using Deep Learning Methodologies

Moksh Grover, Rajat Rathi, Chinkit Manchanda, K. Garg, R. Beniwal
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Abstract

With the exponential development in the field of artificial intelligence in recent years, many researchers have focused their attention towards the topic of image caption generation. With this topic being that of arduous task and interest people take it as a challenge to perform to excel in the field of AI. Automatic generation of neutral language descriptions or ‘captions’ according to the composition detected in an image, i.e., scene understanding is the main part of image caption generation which can be achieved by combining both natural language processing along with computer vision. In this paper, we tackle the task of generating captions by using the concepts of Deep Learning.
人工智能光学:使用深度学习方法的盲人对象识别和标题生成
随着近年来人工智能领域的指数级发展,图像标题生成这一课题受到了众多研究者的关注。由于这个话题是一个艰巨的任务和兴趣,人们把它作为一个挑战,在人工智能领域表现出色。根据图像中检测到的成分自动生成中性语言描述或“标题”,即场景理解是图像标题生成的主要部分,可以通过自然语言处理和计算机视觉相结合来实现。在本文中,我们通过使用深度学习的概念来解决生成字幕的任务。
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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