Fast Automatic License Plate Recognition (ALPR) framework.

RodoSol-ALPR: a dataset for license plate detection and recognition that includes 20K images of vehicles with Brazilian/Mercosur license plates.

UFPR-ALPR: a dataset for license plate detection and recognition that includes 4,500 fully annotated images acquired in real-world scenarios where both the vehicle and the camera (inside another vehicle) are moving.

Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) on Android Mobile App.

UC3M License Plate detection and recognition dataset

A multi-interface (REST and MCP) server for automatic license plate recognition 🚗

Python HTTP Server to receive XML HTTP Posts / webhook posts Viewtron IP camera API.

🚗 Number Plate Detection System using YOLOv5 and PaddleOCR | Python Backend & React Frontend

Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) on your Kubernetes cluster.

Our Automatic License Plate Recognition (ALPR) system is built using state-of-the-art methodologies and techniques to provide the optimal speed/accuracy trade-off at each level. Images of vehicles and Moroccan and European LPs were used to train the neural networks.

Our objective is the development of an Automatic License Plate Recognition (ALPR) system designed to identify various vehicles and their corresponding license plates.

Official repository for the UFPR-VeSV dataset. A challenging benchmark of 24,945 images for unified Fine-Grained Vehicle Classification (FGVC) and Automatic License Plate Recognition (ALPR), featuring real-world surveillance conditions.

MSc Thesis at FER-2021/22 led by izv. prof. dr. sc. Marko Čupić

Provide tools and redacted documents for community research and governance of automated license plate recognition systems with adaptable formats.