License Plate Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

12 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (39 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
  11 Feb 2022 3 repositories listed
  The best Mean Average Precision (mAP@0.
• Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline
  1 Sep 2018 2 repositories listed
  Most current license plate (LP) detection and recognition approaches are evaluated on a small and usually unrepresentative dataset since there are no publicly available large diverse datasets.
• A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector
  26 Feb 2018 2 repositories listed
  First, in the SSIG dataset, composed of 2, 000 frames from 101 vehicle videos, our system achieved a recognition rate of 93.
• Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line Analysis
  8 Jan 2025 1 repository listed
  Video-based Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate text information from video captures.
• A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot
  11 Aug 2024 1 repository listed
  We propose OneShotLP, a training-free framework for video-based license plate detection and recognition, leveraging these advanced models.
• SamLP: A Customized Segment Anything Model for License Plate Detection
  12 Jan 2024 1 repository listed
  Meanwhile, the proposed SamLP has great few-shot and zero-shot learning ability, which shows the potential of transferring vision foundation model.
• Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition
  25 Oct 2023 1 repository listed
  Reading dirty license plates accurately in moving vehicles is challenging for automatic license plate recognition systems.
• Character Time-series Matching For Robust License Plate Recognition
  21 Jul 2023 1 repository listed
  Automatic License Plate Recognition (ALPR) is becoming a popular study area and is applied in many fields such as transportation or smart city.
• IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
  10 Sep 2022 1 repository listed
  Also, the largest Iranian dataset for recognizing the characters of a license plate has 5, 000 images.
• Unified Chinese License Plate Detection and Recognition with High Efficiency
  7 May 2022 1 repository listed
  With CRPD, a unified detection and recognition network with high efficiency is presented as the baseline.
• On the Cross-dataset Generalization in License Plate Recognition
  2 Jan 2022 1 repository listed
  Automatic License Plate Recognition (ALPR) systems have shown remarkable performance on license plates (LPs) from multiple regions due to advances in deep learning and the increasing availability of datasets.
• Task-driven Semantic Coding via Reinforcement Learning
  7 Jun 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  However, the traditional hybrid coding framework cannot be optimized in an end-to-end manner, which makes task-driven semantic fidelity metric unable to be automatically integrated into the rate-distortion optimization…
• Iranis: A Large-scale Dataset of Farsi License Plate Characters
  1 Jan 2021 1 repository listed
  This paper introduces a large-scale dataset that includes images of numbers and characters used in Iranian car license plates.
• End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
  27 Oct 2020 1 repository listed
  Second, we propose to predict the quadrilateral bounding box in the local region by regressing the four corners of the license plate to robustly detect oblique license plates.
• Towards End-to-end Car License Plate Location and Recognition in Unconstrained Scenarios
  25 Aug 2020 1 repository listed
  Then, a novel convolutional neural network branch is designed to further extract features of characters without segmentation.
• Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
  13 Nov 2019 1 repository listed
  To explore our dataset we design a two-stream CNN that simultaneously uses two of the most distinctive and persistent features available: the vehicle's appearance and its license plate.
• An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
  4 Sep 2019 1 repository listed
  This paper presents an efficient and layout-independent Automatic License Plate Recognition (ALPR) system based on the state-of-the-art YOLO object detector that contains a unified approach for license plate (LP)…
• License Plate Detection and Recognition in Unconstrained Scenarios
  1 Sep 2018 1 repository listed
  Despite the large number of both commercial and academic methods for Automatic License Plate Recognition (ALPR), most existing approaches are focused on a specific license plate (LP) region (e.
• Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs
  21 Jan 2016 1 repository listed
  Inspired by the success of deep neural networks (DNNs) in various vision applications, here we leverage DNNs to learn high-level features in a cascade framework, which lead to improved performance on both detection and…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.