Traffic Sign Detection and Recognition Using TensorFlow' s Object Detection API with A New Benchmark Dataset

Basit Öğe Kaydı
dc.contributor.authorKilic, Irfan
dc.contributor.authorAydin, Galip
dc.date.accessioned2026-08-12T16:09:05Z
dc.date.issued2020
dc.departmentFırat Üniversitesi
dc.description6th International Conference on Electrical Engineering, ICEE 2020 -- 25 September 2020 through 27 September 2020 -- Virtual, Istanbul -- 164956
dc.description.abstractIn this study TensorFlow's Object Detection API used in Turkey traffic sign detection and recognition of the aid intended traffic signs. A dataset suitable for TensorFlow's Object Detection API has been prepared for traffic signs by using photographs in different traffic and weather conditions. A web-based data tagging application has been developed to prepare this dataset. This dataset was trained by selecting the appropriate deep learning model and results were obtained on the test data. Although the training data are insufficient, the results on the test images are satisfactory. © 2020 IEEE.
dc.identifier.doi10.1109/ICEE49691.2020.9249914
dc.identifier.isbn978-172818292-6
dc.identifier.scopus2-s2.0-85097600954
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICEE49691.2020.9249914
dc.identifier.urihttps://hdl.handle.net/11508/41566
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2020 International Conference on Electrical Engineering, ICEE 2020
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectdataset; deep learning; object detection; TensorFlow; Tensorflow's Object Detection API; traffic signs
dc.titleTraffic Sign Detection and Recognition Using TensorFlow' s Object Detection API with A New Benchmark Dataset
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu