RoadRuttingDatasetSekilab

Published: 4 November 2022| Version 1 | DOI: 10.17632/v8mbnvx8pv.1
Contributors:
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto

Description

Road rutting is a severe road distress that can cause premature failure of road incurring early and costly maintenance costs. Research on road damage detection using image processing techniques and deep learning is being actively conducted in the past few years. However, these researches are mostly focused on detection of cracks, potholes, and their variants. Very few research has been done on the detection of road rutting. This dataset presents a novel road rutting dataset comprising of 949 images and provides both object level and pixel level annotations. For more information on experiments conducted on this dataset, please refer to the article at https://www.researchgate.net/publication/363920770_Road_Rutting_Detection_using_Deep_Learning_on_Images .

Files

Institutions

  • Tokyo Daigaku

Categories

Computer Vision, Object Detection, Segmentation, Road

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