TraCon: A novel dataset for real-time traffic cones detection using deep learning

• Published in: arXiv.org
• Main Authors: Katsamenis, Iason, Eleni Eirini Karolou, Davradou, Agapi, Protopapadakis, Eftychios, Doulamis, Anastasios, Doulamis, Nikolaos, Kalogeras, Dimitris
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 24.05.2022
• Subjects: Algorithms; Cones; Datasets; Machine learning; Object recognition; Pedestrians; Road maintenance

Substantial progress has been made in the field of object detection in road scenes. However, it is mainly focused on vehicles and pedestrians. To this end, we investigate traffic cone detection, an object category crucial for road effects and maintenance. In this work, the YOLOv5 algorithm is employ...