Dataset of Unpaved and Paved Road Surface with Seasons

Published: 22 February 2022| Version 2 | DOI: 10.17632/tj2m7zz4rg.2
Contributors:
,

Description

The uneven road surface may cause significant harm to vehicles, drivers and pedestrians. At the same time, safety precautions need to be followed when speed braker or roadside barrier appears. Therefore, this dataset was prepared to detect different types of road surfaces. The dataset consists of 8484 RGB (512 x 512 pixels) images and 13 videos of various road structures such as potholes, speed braker and roadside barriers. This dataset was created during the rain and summer seasons for paved and unpaved roads. The images were taken from the top and side views with varying day-light conditions at Nashik and Mumbai. At the same time, videos were shot from a side view. The images and videos were captured using the rear camera of a mobile phone.

Files

Categories

Object Detection, Machine Learning, Navigation System, Robotics Machine Vision, Road Construction, Road Transportation, Machine Vision

Licence