RoadDamageDetection-DeepLearning It is intended to detect damage to road images taken by a camera. For this, deep learning technology, a subspace of machine learning, and Convolutional Neural Networks (CNN), one of the most popular types of deep neural networks, are used. The TensorFlow library...
Dataset for Global Road Damage Detection Challenge 2020 train.tar.gz train.tar.gz contains Japan/India/Czech images and annotations. The format of annotations is the same as pascalVOC. test1.tar.gz sampleSubmission.txt test2.tar.gz Citation The data collection methodology, study area and ...
The dataset and parts of the code are available at: https://github.com/IranRoadDamageDataset/IRRDD.Aghayan‐Mashhady, NimaAmirkhani, AbdollahIET Image Processing (Wiley-Blackwell)
Road damage is a great threat to the service life and safety of roads, and the early detection of pavement damage can facilitate maintenance and repair. Street view images serve as a new solution for the monitoring of pavement damage due to their wide coverage and regular updates. In this st...
Table 1: Class names for various types of road damage. ???B.Model Building And Training The YOLOv5m model was chosen amongst all the variants of the Yolov5 since it was a good tradeoff between speed and the accuracy on an Android device. Ultralytics github repository provides the...
The road damage data set, our experimental results, and the developed smartphone application used in this study are publicly available (https://github.com/sekilab/RoadDamageDetector/). 展开 DOI: 10.1111/mice.12387 被引量: 3 年份: 2018
Research on damage detection of road surfaces using image processing techniques has been actively conducted. This study makes three contributions to address road damage detection issues. First, to the best of our knowledge, for the first time, a large﹕cale road damage data set is prepared, compr...
The Road Defect Dataset is open access and can be found at https://github.com/keaidesansan/Roadcrack_Dataset_2517.git. (accessed on 26 September 2023). 3.1. Dataset Collection The Road Defect Dataset covered multiple provinces across China, including Hebei Province, Jilin Province, Henan ...
git clone https://github.com/NVIDIA/apex pip install -r apex/requirements.txt pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./apex download Dataset : for ease of use we have provided annotations and ... in coco format downloadable: ...
Clone the road-damage-detection repo into $RDD: git clone https://github.com/USC-InfoLab/rddc2020.git Install python packages: pip3 install -r requirements.txt RDCCDataset Setup for YOLOv5 NOTE: Entire process (step 1-4 explained in this section) of downloading and preparing GRDDC 2020 data...