Datasets
Standard Dataset
SYPHAX Dataset
- Citation Author(s):
-
HoussemTurki
National Engineering School of Sfax (ENIS), University of Sfax, TunisiaMohamedElleuchNational School of Computer Science (ENSI), University of Manouba, TunisiaMongiKherallahFaculty of Sciences, University of Sfax, Tunisia - Submitted by:
- mohamed elleuch
- Last updated:
- Tue, 06/06/2023 - 09:47
- DOI:
- 10.21227/ydqd-2443
- Data Format:
- License:
278 Views- Categories:
- Keywords:
Abstract
SYPHAX dataset was collected from Tunisia in “Sfax” city, the second largest Tunisian city after the capital. A total of 2008 images were gathered through manual collection one by one, with each image energizing text detection challenges in nature according to real existing complexity of 15 different routes (downtown, Nasryia, Sidi Mansour, Sakiet Ezziet, Sakiet Eddayer, Mahdia road, Tunis main road, Chehia, Taniour, Lafran, Elayn, Gremda, Manzel Chaker, Matar route, Gabes road) along with ring roads, intersections and roundabouts. The estimated overall distance covered is around 365 kilometers, all the paths mentioned and traveled contain commercial and service activities on both outward and return routes.
Steps to use this Dataset:
1. Download the “SYPHAX.zip” file on your device
2. Extract the “SYPHAX.zip” 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” contains all the annotations (Line-level & Word-level) of the dataset.
