Volume : 4, Issue : 4, APR 2020

IMAGE CAPTION GENERATOR

Hariprabhu V, Kanmani P

Abstract

The effectiveness can be achieved with electronic commerce-related concepts, while these models are very accurate, these often rely on the use of expensive computation hardware making it difficult to apply these models in real time scenarios, where their actual applications can be realised. In this paper, we carefully follow some of the core concepts of Image Captioning and its common approaches and present our simplistic encoder and decoder based implementation with significant modifications and optimizations which enable us Torun these models on low-end hardware of hand-held devices. We also compare our results evaluated using various metric with state-of-the-art models and analyze why and where our model trained on MSCOCO dataset lacks due to the trade off between computation speed and quality in the website.

Keywords

Image Recognition Technology, Link Building, Local SEO Optimization.

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Article No : 5

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