ArticleData in brief2026
AsianVehicle: An image dataset of traditional Asian vehicles.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- AsianVehicle: An image dataset of traditional Asian vehicles.Data in brief · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The AsianVehicle dataset introduces a comprehensive image collection of four traditional Bangladeshi vehicle types-Auto Rickshaw, Rickshaw, Rickshaw Van, and Leguna-captured to support research in computer vision and cultural informatics. These vehicles, integral to South and Southeast Asian transport systems, represent unique visual and structural characteristics seldom documented in existing global datasets. A total of 4000 RGB images were collected across various urban and semi-urban areas of Mirpur, Dhaka, using smartphone cameras under natural daylight conditions to preserve authentic colors, textures, and environmental diversity. The dataset encompasses variations in viewing angles, backgrounds, and illumination, reflecting real-world scenarios where such vehicles operate. All images are provided in properly processed form, enabling users to apply customized preprocessing, and labeling strategies according to their research needs. Beyond supporting machine learning tasks such as vehicle classification, segmentation, or detection, this dataset contributes to the digital preservation of traditional Asian transport designs that are gradually disappearing due to modernization. Its open accessibility facilitates comparative studies on model generalization, cross-domain adaptation, and low-resource visual recognition. By bridging cultural representation and artificial intelligence research, AsianVehicle offers a valuable foundation for both technical innovation and the preservation of regional identity within data-driven applications.
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Registered trials
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.