Nogor Bahon AI Dataset (NBD)

Published: 8 December 2025| Version 3 | DOI: 10.17632/8bhy999ssy.3
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Description

This dataset was created using vehicle pictures gathered in Chattogram, Bangladesh. It includes 28 unique categories of vehicles regularly observed in the city. Data was collected in a variety of contexts to replicate the city's actual traffic circumstances. To improve generalization, vehicles were photographed in a variety of lighting conditions, angles, and backgrounds. It can be used to train, validate, and test machine learning algorithms. This material is very valuable for computer vision research purposes. Vehicle detection, classification, recognition, and traffic monitoring are all potential domains. It may also fund future projects centered on intelligent transportation systems. The dataset attempts to develop automated traffic management technologies. The dataset's comprehensiveness is ensured by its inclusion of several categories.

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Institutions

Premier University

Categories

Computer Vision, Vehicle, Image Classification, Bangladesh, Autonomous Vehicle, Road Safety, YOLOv5, YOLOv7

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