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Computer Science > Computer Vision and Pattern Recognition

arXiv:2405.10949 (cs)
[Submitted on 22 Mar 2024]

Title:Global License Plate Dataset

Authors:Siddharth Agrawal
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Abstract:In the pursuit of advancing the state-of-the-art (SOTA) in road safety, traffic monitoring, surveillance, and logistics automation, we introduce the Global License Plate Dataset (GLPD). The dataset consists of over 5 million images, including diverse samples captured from 74 countries with meticulous annotations, including license plate characters, license plate segmentation masks, license plate corner vertices, as well as vehicle make, colour, and model. We also include annotated data on more classes, such as pedestrians, vehicles, roads, etc. We include a statistical analysis of the dataset, and provide baseline efficient and accurate models. The GLPD aims to be the primary benchmark dataset for model development and finetuning for license plate recognition.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2405.10949 [cs.CV]
  (or arXiv:2405.10949v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2405.10949

Submission history

From: Siddharth Agrawal Mr. [view email]
[v1] Fri, 22 Mar 2024 13:01:24 UTC (15,796 KB)
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