  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.
