Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

mouadb0101/License_Plates_of_Algeria_Dataset

Type de record:

dataset
Créateur:
mou
Hôte:
License Plates of Algeria Dataset (Les plaques minéralogique algeriennes) # License Plates of Algeria Dataset (Les plaques minéralogique algeriennes) ## Detection We collected an image and video dataset that we captured in the municipality of Draria in Algeria using a fixed camera. Then, we augmented our dataset with public images from websites that can be viewed on the Internet (such as ”google images” 1, ”facebook marketplace” 2 and ”Ouedkniss” 3). The vehicle objects of our dataset present a great variability of points of view and insights. So, we built a training set of 2408 images, and a test set of 1000 images. ## Recognition For the license plate recognition part, we collect the plates extracted during the detection in a Dataset. The latter contains a learning set of 1775 plates, and a test set of 404 plates. They have been carefully and manually annotated with license plate characters to allow accurate assessment of OCR. note: this is a sample of the dataset. For a full dataset contact us (mouad.bensouilah@gmail.com). ## Citation Please cite LPA-Dataset in your publications if it helps your research: ``` @inproceedings{bensouilah2021alpr, title={An ALPR System-based Deep Networks for the Detection and Recognition.}, author={Bensouilah, Mouad and Zennir, Mohamed Nadjib and Taffar, Mokhtar}, booktitle={ICPRAM}, pages={204--211}, year={2021} } ```

Visit

github.com

Tasks

computer visionoptical character recognition

Tags

algeriadatasetdeep-learninglicenseplate