Summary of Ktvic: a Vietnamese Image Captioning Dataset on the Life Domain, by Anh-cuong Pham et al.
KTVIC: A Vietnamese Image Captioning Dataset on the Life Domain
by Anh-Cuong Pham, Van-Quang Nguyen, Thi-Hong Vuong, Quang-Thuy Ha
First submitted to arxiv on: 16 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Image captioning is a critical task with far-reaching applications across domains like healthcare and education. While significant research has focused on English datasets, Vietnamese ones remain scarce, with only two existing datasets. This study addresses this gap by introducing KTVIC, a comprehensive Vietnamese Image Captioning dataset centered around daily life activities. The dataset comprises 4,327 images and 21,635 captions, serving as a valuable resource for advancing image captioning in the Vietnamese language. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you’re trying to describe what’s happening in a picture to someone who can’t see it. That’s basically what image captioning is! It’s an important job that helps people with visual impairments or those who don’t speak the same language as the person creating the image. Right now, there aren’t many datasets available for Vietnamese image captioning. That’s why this study created a huge new dataset called KTVIC, which has lots of pictures and descriptions to help machines learn how to do this job better. |
Keywords
* Artificial intelligence * Image captioning
