Github Kubragulcan Ocr Project Car License Plate Recognition

GitHub - OskarRosenqvist/Car_License_plate_recognition_OCR: Find License Plate Data From Image ...

GitHub - OskarRosenqvist/Car_License_plate_recognition_OCR: Find License Plate Data From Image ... In the project, the aim is creating an application that predicts car license plates by using ocr models on fastapi. the notebook includes all findings and results from the app. Self hosted, local only nvr and ai computer vision software. with features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition Car license plate recognition. contribute to kubragulcan/ocr project development by creating an account on github. Object detection project using yolov11 and easyocr to detect license car plates in egypt , cropping them in images and processing videos and recognize arabic letters and numbers with a web app for interactive ui for users. A multi model ai pipeline that detects and tracks vehicles, recognizes license plates using ocr with post processing, and describes the traffic scene in natural language. This project is a license plate recognition (lpr) system built using opencv and tesseract ocr. it detects and extracts license plate numbers from vehicle images using image processing and optical character recognition.

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition A multi model ai pipeline that detects and tracks vehicles, recognizes license plates using ocr with post processing, and describes the traffic scene in natural language. This project is a license plate recognition (lpr) system built using opencv and tesseract ocr. it detects and extracts license plate numbers from vehicle images using image processing and optical character recognition. License plate recognition project this project implements an end to end pipeline for recognizing license plates from images. it involves two main stages: license plate detection using a yolo model and character recognition using an ocr model. 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. The main objective of this project is to provide an automated system for detecting vehicle license plates and extracting their corresponding text using deep learning and optical character recognition (ocr). it combines object detection with yolov8 and ocr with easyocr. Dataset this dataset is a curated collection of car license plate images designed for research and development in license plate recognition (lpr). the images capture vehicles in diverse real world conditions, including varying lighting, weather, and camera angles, making it suitable for building robust computer vision and ocr based models.

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition License plate recognition project this project implements an end to end pipeline for recognizing license plates from images. it involves two main stages: license plate detection using a yolo model and character recognition using an ocr model. 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. The main objective of this project is to provide an automated system for detecting vehicle license plates and extracting their corresponding text using deep learning and optical character recognition (ocr). it combines object detection with yolov8 and ocr with easyocr. Dataset this dataset is a curated collection of car license plate images designed for research and development in license plate recognition (lpr). the images capture vehicles in diverse real world conditions, including varying lighting, weather, and camera angles, making it suitable for building robust computer vision and ocr based models.

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition

GitHub - Kubragulcan/OCR-Project: Car License Plate Recognition The main objective of this project is to provide an automated system for detecting vehicle license plates and extracting their corresponding text using deep learning and optical character recognition (ocr). it combines object detection with yolov8 and ocr with easyocr. Dataset this dataset is a curated collection of car license plate images designed for research and development in license plate recognition (lpr). the images capture vehicles in diverse real world conditions, including varying lighting, weather, and camera angles, making it suitable for building robust computer vision and ocr based models.

Licence Plate Recognition with YOLO V8 and Easy OCR using Custom Dataset