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Artificial Mercosur license plates dataset.

Gilles Velleneuve Trindade Silvano1, Ivanovitch Silva1, Vinícius Campos Tinoco Ribeiro1

  • 1Universidade Federal do Rio Grande do Norte (UFRN), Rio Grande do Norte, Brazil.

Data in Brief
|December 21, 2020
PubMed
Summary

A novel generator creates artificial Mercosur license plates for training automatic license plate recognition systems. This addresses the challenge of acquiring diverse real-world data for improved license plate detection.

Keywords:
Automated license plate recognition licenseDeep LearningLicense plates imagesMercosur license platesNumber Plate DetectionPlate detectionSmart CitiesSynthetic Data

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Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning

Background:

  • The Mercosur trade bloc implemented a unified license plate model in 2018.
  • Training supervised models for license plate detection (LPD) in automatic license plate recognition (ALPR) systems requires large datasets with varied presentations.
  • Acquiring sufficient ground truth data for the new Mercosur license plates presents a significant challenge.

Purpose of the Study:

  • To develop a synthetic data generation method for Mercosur license plates.
  • To create a diverse dataset suitable for training ALPR systems.
  • To address the scarcity of real-world data for the new Mercosur license plate standard.

Main Methods:

  • A Mercosur license plate generator was created to produce artificial images.
  • The generator incorporates variations simulating occlusions and environmental conditions.
  • An embedded system was developed to detect legacy plates and overlay synthetic Mercosur plates onto real-world vehicle images.

Main Results:

  • A dataset of 3,829 synthetic Mercosur license plate images was generated.
  • Each image is accompanied by a corresponding text file with label information.
  • The dataset is organized in a CSV file, linking image paths to labels.

Conclusions:

  • The developed generator effectively creates diverse synthetic Mercosur license plates.
  • The generated dataset can significantly aid in training robust ALPR systems.
  • This approach overcomes data acquisition challenges for the new Mercosur license plate standard.