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dc.contributor.authorBemposta Rosende, Sergio
dc.contributor.authorGhisler, Sergio
dc.contributor.authorFernández-Andrés, Javier
dc.contributor.authorSánchez Soriano, Javier
dc.date.accessioned2023-02-27T12:35:55Z
dc.date.available2023-02-27T12:35:55Z
dc.date.issued2022
dc.identifier.issn2306-5729spa
dc.identifier.urihttps://hdl.handle.net/10641/3279
dc.description.abstractA dataset of Spanish road traffic images taken from unmanned aerial vehicles (UAV) is presented with the purpose of being used to train artificial vision algorithms, among which those based on convolutional neural networks stand out. This article explains the process of creating the complete dataset, which involves the acquisition of the data and images, the labeling of the vehicles, anonymization, data validation by training a simple neural network model, and the description of the structure and contents of the dataset (which amounts to 15,070 images). The images were captured by drones (but would be similar to those that could be obtained by fixed cameras) in the field of intelligent vehicle management. The presented dataset is available and accessible to improve the performance of road traffic vision and management systems since there is a lack of resources in this specific domain.spa
dc.language.isoengspa
dc.publisherDataspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectDatasetspa
dc.subjectIntelligent vehiclespa
dc.subjectMachine learningspa
dc.subjectComputer visionspa
dc.subjectConvolutional neural networkspa
dc.subjectModel deploymentspa
dc.subjectAutonomous drivingspa
dc.subjectRoundaboutsspa
dc.subjectDeep learningspa
dc.subjectTraffic managementspa
dc.titleDataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent3928 KBspa
dc.identifier.doi10.3390/data7050053spa
dc.relation.publisherversionhttps://www.mdpi.com/2306-5729/7/5/53spa


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