  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.
