BDRoad-Sense: A benchmark dataset for road surface detection and safety enhancement
Ali Sadman Mashrafi, Md Abu Sayem Rabbi, Proyas Das, Md Mujahid Alam Jihan, Md Mahdi Hossain Hira · 2026
Read BDRoad-Sense: A benchmark dataset for road surface detection and safety enhancement by Ali Sadman Mashrafi, Md Abu Sayem Rabbi, Proyas Das, Md Mujahid Alam Jihan, Md Mahdi Hossain Hira (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13247582.txt.
Description
Ali Sadman Mashrafi and co-authors release a road surface image dataset from Bangladesh in a 2026 data paper. Automated road checks need many labeled photos of damage and street furniture. The team gathered theirs across Sylhet District with four phone cameras.
Photos sort into five classes: normal road, manhole, speed breaker, and minor or major damage. Field collection from late 2025 into early 2026 yielded more than six thousand raw images. Careful screening and controlled augmentation raised the set to 9,107 images at a uniform size. The set supports benchmarking of image classifiers for road monitoring and transport research.
Catalog record
| CREATOR | Ali Sadman Mashrafi, Md Abu Sayem Rabbi, Proyas Das, Md Mujahid Alam Jihan, Md Mahdi Hossain Hira |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |