Syphax Traffic Panels (STP) Dataset

Citation Author(s):
National Engineering School of Sfax (ENIS), University of Sfax, Tunisia
National School of Computer Science (ENSI), University of Manouba, Tunisia
Faculty of Sciences, University of Sfax, Tunisia
Submitted by:
mohamed elleuch
Last updated:
Thu, 12/21/2023 - 14:02
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STP dataset is a dataset for Arabic text detection on traffic panels in the wild. It was collected from Tunisia in “Sfax” city, the second largest Tunisian city after the capital. A total of 506 images were gathered through manual collection one by one, with each image energizing Arabic text detection challenges in natural scene images according to real existing complexity of 15 different routes in addition to ring roads, roundabouts, intersections, airport and highways. These annotated images consist of more than 1351 objects, each of which is enclosed within a bounding box. The estimated overall distance covered is around 470 kilometers; all the paths mentioned and traveled contain different type of traffic panels (Fixed panel, wall panel, km-point, electronic panel, Add-Panels, Removable panel and Mixed Panel text & sign).It's worth noting that one of the notable contributions and challenges of the STP dataset is the inclusion of natural text scripts in the Arabic language, encompassing most of the existing challenges seen in state-of-the-art datasets.


Steps to use this Dataset:

1.     Download the “” file on your device

2.     Extract the “” file at a particular location.

3.     You will find two folders, the folder name “Images” contains all the images of the dataset and the folder name “Annotations” containing all the annotations in Line-level of the dataset.



Submitted by Mike Ivanoff on Tue, 11/21/2023 - 10:42