Natural Scene Traffic Sign and Panel Guide Arabic-Latin Text Recognition : NaSTSArLaTR

Citation Author(s):
Ridha
Zaghdoud
Khalil
Boukthir
Tarek
M. Hamdani
Adel
M. Alimi
Submitted by:
ridha zaghdoud
Last updated:
Sat, 01/06/2024 - 05:12
DOI:
10.21227/phyg-jc98
Research Article Link:
Bilingual Road Text Recognition based on a Hybrid Model of CTC and Attention.
License:
Creative Commons Attribution
77 Views
Categories:
Artificial Intelligence
Image Processing
Transportation
Keywords:
traffic textual information, Arabic and Latin scripts
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Abstract 

The presented dataset encompasses a diverse collection of road images captured under a multitude of environmental conditions, specifically sourced from Tunisian highways. Comprising textual annotations in two languages, this dataset is tailored to facilitate research and development in the domain of scene understanding, language processing, and bilingual context analysis. The collection includes 2006 word pictures with Latin and Arabic text occurrences that were taken from 3000 road scene images.  The dataset's versatility enables investigations into the robustness of language models and image recognition systems across different linguistic and environmental contexts.

Instructions: 

Researchers and practitioners in computer vision, natural language processing, and autonomous systems will find this dataset invaluable for advancing the state-of-the-art in cross-modal analysis and bilingual scene understanding.

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