# UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning

Source: [UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning](<https://www.sota2.com/research/paper/68fa66fc1e209131cea136de>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T22:03:19.943Z

Authors: Quan Hoang Lam, Quang Duy Le, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

Published: 2020-02-01T09:26:07.000Z

## Abstract

Image Captioning, the task of automatic generation of image captions, has attracted attentions from researchers in many fields of computer science, being computer vision, natural language processing and machine learning in recent years. This paper contributes to research on Image Captioning task in terms of extending dataset to a different language - Vietnamese. So far, there is no existed Image Captioning dataset for Vietnamese language, so this is the foremost fundamental step for developing Vietnamese Image Captioning. In this scope, we first build a dataset which contains manually written captions for images from Microsoft COCO dataset relating to sports played with balls, we called this dataset UIT-ViIC. UIT-ViIC consists of 19,250 Vietnamese captions for 3,850 images. Following that, we evaluate our dataset on deep neural network models and do comparisons with English dataset and two Vietnamese datasets built by different methods. UIT-ViIC is published on our lab website for research purposes.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2002.00175>)

[PDF](<https://arxiv.org/pdf/2002.00175.pdf>)