A Real-World Road Dataset For Manhole and Speed Breaker Detection in Bangladesh

This dataset contains real-world road images from Bangladesh, focusing on the detection of manholes and speed breakers. The images were captured under different lighting and road conditions to reflect real traffic environments. The dataset is intended for training and testing computer vision and machine learning models for road safety and infrastructure detection.

The dataset is divided into five distinct folders, each representing the dominant road object appearing in the images, such as manholes and speed breakers.
1. Uncovered_Manhole: Road images showing uncovered or open manholes without protective covers.
2. Square_Manhole: Images containing square-shaped manholes on the road surface.
3. Speed_Breaker: Road images showing speed breakers or road humps.
4. Good_Manhole: Images of properly covered and intact manholes in good condition.
5. Broken_Manhole: Road images showing damaged or broken manholes.