Malaysian Traffic Sign Dataset for Traffic Sign Detection and Recognition Systems


  • Ahmed Madani Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt.
  • Rubiyah Yusof Center for Artificial Intelligence & Robotics, Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia.


Traffic Sign Detection and Recognition, Traffic Sign Dataset, German TSDR Benchmark, Synthetic Digital Images


Traffic Sign Detection and Recognition (TSDR) plays a crucial role in driver assistance systems, and provides drivers with safety and precaution information. It is part of the computer vision which requires a dataset for training and testing the detection and recognition techniques. In this paper, a dataset for Malaysian TS (MTSD) is proposed in order to eliminate the gap in the previously created datasets. The MTSD includes a variety of TS scenes to be used in TS detection and images contain only TS to assist in the recognition of TS.


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How to Cite

Madani, A., & Yusof, R. (2016). Malaysian Traffic Sign Dataset for Traffic Sign Detection and Recognition Systems. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(11), 137–143. Retrieved from