KTVIC: A Vietnamese Image Captioning Dataset on the Life Domain
This provides a valuable resource for advancing image captioning in Vietnamese, addressing a gap for researchers and practitioners in this language domain, though it is incremental as it builds on existing dataset efforts.
The authors tackled the limited availability of Vietnamese image captioning datasets by introducing KTVIC, a dataset with 4,327 images and 21,635 captions focused on daily life activities, and demonstrated its effectiveness through experiments with deep neural networks using standard metrics like BLEU and CIDEr.
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.