![GitHub - ierolsen/YOLO-License-Plate-Detection-Web-App: License plate detection with YOLO and extract text using OCR GitHub - ierolsen/YOLO-License-Plate-Detection-Web-App: License plate detection with YOLO and extract text using OCR](https://user-images.githubusercontent.com/30235603/202149654-6a0d8941-e88e-4ef0-9530-7194778e8ff5.png)
GitHub - ierolsen/YOLO-License-Plate-Detection-Web-App: License plate detection with YOLO and extract text using OCR
![GitHub - hankerkuo/Vehicle-Front-Rear-Detection-for-License-Plate-Detection-Enhancement: A Network for detecting and classifying vehicle's front and rear GitHub - hankerkuo/Vehicle-Front-Rear-Detection-for-License-Plate-Detection-Enhancement: A Network for detecting and classifying vehicle's front and rear](https://user-images.githubusercontent.com/21314064/61183160-11918780-a62d-11e9-9d20-8888df528094.jpg)
GitHub - hankerkuo/Vehicle-Front-Rear-Detection-for-License-Plate-Detection-Enhancement: A Network for detecting and classifying vehicle's front and rear
Automatic-License-Plate-Detection/automatic-number-plate-recognition.ipynb at main · Asikpalysik/Automatic-License-Plate-Detection · GitHub
GitHub - ablanco1950/LicensePlateImage_ThresholdFiltered: From some files of images and labels obtained by applying the project presented at https:// github.com/ashok426/Vehicle-number-plate-recognition-YOLOv5, the images of license plates are filtered ...
![GitHub - amin-tohidi/Car-license-plate-detection--For-Iran-: In this project, we use artificial intelligence algorithms to detection and recognize license plates of cars. The OCR section is used only for Persian license plates and is a GitHub - amin-tohidi/Car-license-plate-detection--For-Iran-: In this project, we use artificial intelligence algorithms to detection and recognize license plates of cars. The OCR section is used only for Persian license plates and is a](https://user-images.githubusercontent.com/76064876/138587428-2101887a-5d98-43d6-900d-3647c2f96a67.jpg)
GitHub - amin-tohidi/Car-license-plate-detection--For-Iran-: In this project, we use artificial intelligence algorithms to detection and recognize license plates of cars. The OCR section is used only for Persian license plates and is a
GitHub - souravrs999/License-Plate-Recognition: A pytorch implementation of a darkent trained yolov4-tiny model that can detect number plates and helmets if a number plate is detected it is passed through an OCR to
GitHub - MYoussef885/License-Plate-Recognition: This project is a simple license plate detection system implemented in Python using OpenCV, EasyOCR, and Matplotlib libraries.
GitHub - smita3199/Automatic-License-Plate-Recognition: Automatic License Plate Recognition is implemented using Python, OpenCV and Tesseract to recognize Indian license plates and store the data in a CSV file.
![GitHub - harshitkd/Real-Time-Number-Plate-Recognition: This project is used to detect the license plate of the vehicle in real time, trained using Car Detection Licence Plate dataset available on Kaggle. Used yolov4 because it GitHub - harshitkd/Real-Time-Number-Plate-Recognition: This project is used to detect the license plate of the vehicle in real time, trained using Car Detection Licence Plate dataset available on Kaggle. Used yolov4 because it](https://user-images.githubusercontent.com/56076028/145536187-50aaa69f-655c-4459-8353-78327a2c0f7c.gif)
GitHub - harshitkd/Real-Time-Number-Plate-Recognition: This project is used to detect the license plate of the vehicle in real time, trained using Car Detection Licence Plate dataset available on Kaggle. Used yolov4 because it
GitHub - xuexingyu24/License_Plate_Detection_Pytorch: A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet
![Detect and Recognize Vehicle's License Plate with Machine Learning and Python — Part 1: Detection License Plate with Wpod-Net | by Quang Nguyen | Medium Detect and Recognize Vehicle's License Plate with Machine Learning and Python — Part 1: Detection License Plate with Wpod-Net | by Quang Nguyen | Medium](https://miro.medium.com/v2/resize:fit:2000/1*TWZM67eaCs0mMBFqs9HFBA.jpeg)