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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2023
Data sources: B2FIND
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BanglaView: A Bangla Image Captioning Dataset

Authors: Hossain, Md Anwar;

BanglaView: A Bangla Image Captioning Dataset

Abstract

Image description is a more crucial part of the artificial intelligence world because it covers two important sectors, which are computer vision and natural language processing. As the proficiency of computers in interpreting visual data and converting it into textual forms has advanced, there has been a notable surge in research enthusiasm for endeavors such as automated image description in recent years. Although the majority of research efforts are concentrated on the English language within monolingual contexts, less attention has been directed towards resource-constrained languages like Bangla. This oversight primarily stems from the absence of standardized datasets for such languages. To overcome the limited availability of Bangla image captioning data, we propose BanglaView, a novel dataset inspired by Flickr30k. Here, English captions are translated into Bangla using Google Translate and refined by expert annotators. The BanglaView dataset contains a total of 31,783 images with 1,58,915 sentences. The total words, unique words, sentence length mean, and sentence length variance of the BanglaView dataset are 16,68,322, 26,348, 10.49, and 20.82. Each image in these datasets comes with five accompanying descriptions. Native Bangla speakers who are fluent in both Bangla and English painstakingly created the annotations. To maintain high standards, a team of professionals performed review and post-processing to ensure the dataset's quality. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Keywords

Machine Learning, Deep Learning, Artificial Intelligence, Bengali Language, Computer Vision, Interdisciplinary sciences, Other, Image Analysis, Natural Language Processing

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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