KTVIC: A Vietnamese Image Captioning Dataset on the Life Domain

TL;DR

This paper introduces KTVIC, a new Vietnamese image captioning dataset focused on daily life, providing a valuable resource for developing and evaluating captioning models in Vietnamese, with experiments demonstrating its usefulness.

Contribution

The paper presents KTVIC, the first comprehensive Vietnamese image captioning dataset in the life domain, with extensive annotations and baseline evaluations.

Findings

The dataset contains 4,327 images and 21,635 captions.

Baseline neural networks achieve promising results on KTVIC.

KTVIC enhances research opportunities in Vietnamese image captioning.

Abstract

Image captioning is a crucial task with applications in a wide range of domains, including healthcare and education. Despite extensive research on English image captioning datasets, the availability of such datasets for Vietnamese remains limited, with only two existing datasets. In this study, we introduce KTVIC, a comprehensive Vietnamese Image Captioning dataset focused on the life domain, covering a wide range of daily activities. This dataset comprises 4,327 images and 21,635 Vietnamese captions, serving as a valuable resource for advancing image captioning in the Vietnamese language. We conduct experiments using various deep neural networks as the baselines on our dataset, evaluating them using the standard image captioning metrics, including BLEU, METEOR, CIDEr, and ROUGE. Our findings underscore the effectiveness of the proposed dataset and its potential contributions to the field of image captioning in the Vietnamese context.