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Road Damage Detection

2 papers with code · Computer Vision

Road damage detection is the task of detecting damage in roads.

( Image credit: Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN )

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Greatest papers with code

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone

29 Jan 2018sekilab/RoadDamageDetector

This dataset is composed of 9, 053 road damage images captured with a smartphone installed on a car, with 15, 435 instances of road surface damage included in these road images.

OBJECT DETECTION ROAD DAMAGE DETECTION

Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN

12 Nov 2018sshkhr/BigDataCup18_Submission

In particular we show that Mask-RCNN, one of the state-of-the-art algorithms for object detection, localization and instance segmentation of natural images, can be used to perform this task in a fast manner with effective results.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION OBJECT DETECTION ROAD DAMAGE DETECTION SEMANTIC SEGMENTATION