Flexible Pavement Distress Image Dataset Featuring Alligator Cracks and Edge Failures from National Highway N6, Bangladesh Part 2

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Authors: Md.Nayem Hossain, Nakib Aman, Nymur Rahaman Antor, Nafisa Tasnim, Md Zubair Azam, Sabab Asfaq
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Abstract

This dataset contains labeled pavement surface images collected from an urban segment of National Highway N6 in Pabna District, Bangladesh. The dataset includes three pavement condition categories: alligator cracking, edge breaking, and normal pavement. A total of 24,000 images are provided, comprising 12,000 raw images and 12,000 augmented images, with balanced class distribution. Images were captured under real-world traffic and lighting conditions using a handheld smartphone camera and systematically organized into training, validation, and testing subsets. The dataset is intended to support research in pavement condition assessment, automated distress detection, and benchmarking of data-driven image analysis methods.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN