Evidence map›Paper›PMID 41473864›Full record

ArticleData in brief2025

A comprehensive coin dataset highlighting the numismatic heritage of Bangladesh.

Mahamudul Hasan, Krittika Roy, Nowshin Tasnia, Mohammad Rifat Ahmmad Rashid

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mahamudul HasanDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Krittika RoyDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Nowshin TasniaDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Mohammad Rifat Ahmmad RashidDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following Bangladesh's independence in 1971, the country introduced Taka coins in 1973, featuring a lotus flower and denomination, symbolizing its rich history and cultural heritage. In 2013, a new coin series was issued, displaying the portrait of Bangabandhu Sheikh Mujibur Rahman on the obverse and the national emblem on the reverse. This series included denominations of 1, 2, and 5 Taka coins. In this research, we present a dataset of 9983 images representing 26 different classes of Bangladeshi coins. The dataset includes coins of various denominations, such as 1, 5, 10, 25, and 50 Poisha, as well as 1, 2, and 5 Taka coins. Each image captures the coins from both the obverse and reverse sides, showcasing different shapes, sizes, and designs under diverse environmental conditions and backgrounds. The primary significance of this dataset lies in its ability to assist visually impaired individuals in daily banking transactions. By addressing challenges related to coin detection, recognition, and the integrity of monetary systems, this dataset contributes to the fields of computer vision, artificial intelligence, and machine learning. The technology empowered by this dataset can enable visually impaired individuals to independently and accurately identify and differentiate between various denominations, thus enhancing their participation in the financial sector.

Indexed as

Bangladeshi coinsBanking transactionsClassificationCoin verificationDenomination

Identifiers

PMID41473864
PMCPMC12747228

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.