Yolo license plate detection. Specifically, YOLO-M achieves an optimal F1 score of 0. In this paper, we leverage a YOLO-based end-to-end generic ALPR pipeline for vehicle detection (VD), license plate (LP) detection and recognition without exploiting prior knowledge or additional steps in inference. ractical applications such as helmet detection and number plate recognition. Contribute to Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8 development by creating an account on GitHub. The research [12] explored CNN-based detection for two-wheeler violations, while the research [13,14] proposed YOLOv5-b Abuhurrairah / License-Plate-Detection-with-YOLOv8-and-OCR Public Notifications You must be signed in to change notification settings Fork 0 Star 0 License-Plate-Detection-with-Yolo-CRNN-LSTM This project implements a License Plate Recognition (LPR) system using a CRNN (Convolutional Recurrent Neural Network) and LSTM with CTC Loss for sequence prediction. from publication: NightLPBD: A YOLO-Based Single-Stage Framework for Nighttime License Plate Recognition | Efficient and effective License Key words : Helmet Detection, E-Challan Generation, YOLO, Number Plate Recognition, EasyOCR, Computer Vision, Deep Learning, Django, Traffic Rule Enforcement. The system first differentiates moving objects as motorcycles or non-motorcycles. ; Feng, X. The model was trained with Yolov8 using this dataset and following this step by step tutorial on how to train an object detector with Yolov8 on your custom data. Automatic Number Plate Recognition (ANPR), also known as License Plate Recognition (LPR), is a technology that uses optical character recognition (OCR) to automatically read and interpret license The model was trained on the Car License Plate Detection dataset, which is publicly available on Mendeley Data. What is Automatic Number Plate Recognition (ANPR)? Automatic number plate recognition is a technology designed to identify and extract vehicle number plate information from images or videos. A License-Plate detecttion application based on YOLO - alitourani/yolo-license-plate-detection License Plate Detection using YOLOv3 YOLO abbreviates to You Only Look Once depicting its ability to detect objects and entities by using CNN (Convolutional Neural Network). The combination allows both the detection of plates in images or videos and the extraction of plate numbers in real-time. Nevertheless, a lot of the existing solutions-which frequently rely on numerous constraintsare not yet reliable in practical settings. Automatic License Plate Recognition (ALPR) is crucial in Intelligent Transportation System but faces challenges like weather and light conditions, camera angles, and license plate distortion. ; Yin, X. Licence-Plate-Recognition-with-YOLO-V8-and-Easy-OCR Project Overview This project integrates YOLOv8 for license plate detection and EasyOCR for optical character recognition (OCR) to read the detected license plate numbers. The model was trained using the Ultralytics YOLOv8 framework and can be deployed for real-time applications such as surveillance, traffic monitoring, and vehicle identification. Integrating such technologies into a digital enforcement system can signi 🚗 Developed an AI-Powered Vehicle Surveillance & License Plate Recognition System: I’m excited to share a project I’ve recently built — an intelligent Vehicle Detection and Number Plate Because of its various real-world uses, automatic registration number plate recognition, or ALPR, has become a common subject of research. License Plate Text Extraction: Implement Optical Character Recognition (OCR) to extract text from detected license plates. Learn how to build an ANPR system using Ultralytics YOLO11 for number plate detection and GPT-4o Mini for text recognition with real-time accuracy. If the motorcyclist is not wearing a helmet, the system extracts the license plate number using an OCR algorithm. The Streamlit interface makes the application Automatic gate opener using YOLO + EasyOCR for license plate recognition. A licensed plate detector was used to detect license plates. yolov7 车牌检测 车牌识别 中文车牌识别 检测 支持双层车牌 支持12种中文车牌 STEP 2 Implementing the License Plate Detection Use the bounding box for each vehicle and use the number plate detector model to try to find the corresponding plate within in the confinement of those boxes. It highlights the plates and shows the confidence score. To address the challenges of complex backgrounds, varying target scales, and dense targets in license plate detection within surveillance scenarios, we propose an enhanced method based on an improved YOLOv8n network. In this article, we will explore how to implement license plate detection from video files using YOLO (You Only Look Once) and EasyOCR (Optical Character Recognition) in Python. The dataset used is Keremberke's License Plate Object Detection , and the model is trained using the Ultralytics YOLOv8 framework . ; Ma, J. 🚗🚙 This project uses the YOLOv8 object detection model to detect license plates. For 🚗🔎 Vehicle & License Plate Detection with YOLO26 Sharing a recent computer vision experiment where I built a vehicle and license plate detection pipeline using Ultralytics YOLO26. Contribute to n-ishfaq/YoloV8-License-Plate-Detection-And-Recognition development by creating an account on GitHub. For classified motorcyclists, the system identifies whether they are wearing helmets or not. The model is trained to recognize full license plate text directly from cropped plate images. volutional neural networks and YOLO-based frameworks. The model was trained with Yolov8 using this dataset. In: IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS 2025). This approach This project presents a License Plate Recognition (LPR) system using YOLO models for object detection and EasyOCR for text recognition, designed to achieve real-time, accurate license plate detection. ; Liu, Q. This study introduces the optimized YOLO-M model for real-time license plate detection. YOLOv11-License-Plate Detection This is a fine-tuned version of YOLOv11 (n, s, m, l, x) specialized for License Plate Detection, using a public dataset from Roboflow Universe: License Plate Recognition Dataset (10,125 images) 🚀 Use Cases Smart Parking Systems Tollgate / Access Control Automation Traffic Surveillance & Enforcement ALPR with OCR Integration 🏋️ Training Details Base Model This project is a high-performance License Plate Recognition System developed to detect and read vehicle license plates from real-time video feeds and static images. Leveraging the power of YOLO (You Only Look Once) architecture for object detection and Optical Character Recognition (OCR) techniques Sep 15, 2023 · Retraining YOLOv8 Dataset: Roboflow - License Plate Recognition Computer Vision Project Download the Dataset with YOLOv8 annotation and point YOLO to the data. 2020: License Plate Detection Method Based on PLATE-YOLO in Smog EnvironmentJournal of Signal Processing 36 (5): 666-676 Chen, S. The focus will be on accuracy and speed for efficient plate recognition. ; Yang, J. from publication: NightLPBD: A YOLO-Based Single-Stage Framework for Nighttime License Plate Recognition | Efficient and Alternatives and similar repositories for Transmission-Tower-Insulator-Bird-Nest-Detection Users that are interested in Transmission-Tower-Insulator-Bird-Nest-Detection are comparing it to the libraries listed below The project involved custom training a YOLO model to localize license plates across diverse environmental conditions (varying light, angles, and distances). Detecting License Plate using Yolo V5. This notebook provides a comprehensive guide to implementing automatic number plate recognition (ANPR) using the YOLO26 model in combination with gpt-4o-mini. 90 at a confidence This project provides a robust computer vision resource specifically optimized for the detection of vehicle license plates in various environmental conditions. This dataset contains 4000 images of cars with annotated license plates in the YOLO format. By leveraging this pre-trained model and dataset, developers can build the primary detection layer for Automatic Number Plate Recognition (ANPR) systems used in traffic monitoring and Inspired by the challenge of improving road safety and streamlining insurance assessments, my project leverages yolo image recognition technology to automatically read vehicle license plates. ; Yang, C. Model Selection: Evaluate multiple trained models and select the best-performing one based on detection accuracy and OCR performance. ; Tian, S. 2021: End-to-end trainable network for degraded license plate detection via vehicle-plate relation . In the present growing era of vehicular technology, number plate recognition is the prim in order to solve the multi-level problems of security. Contribute to HimanshuKamdi/YoloV5_License_Plate_Detection development by creating an account on GitHub. ; Qu, J. We'll train a model to identify license plates in images. With advances in deep learning, as well as computing platforms, particularly GPUs, these algorithms have found major applications. This paper proposes a new license plate detection and recognition method based on the deep learning YOLO v8 method, image processing techniques, and the OCR technique for text recognition. Download Citation | On Oct 23, 2025, Md. The model is available here. Trained on a diverse, hybrid dataset of over 52,000 labeled images. Leveraging performance metrics such as the F1-Confidence curve, Precision-Confidence curve, Precision-Recall curve, and Recall-Confidence curve, the model demonstrates exceptional precision and recall rates in real-time conditions. Additionally, the project integrates Google 1️⃣ YOLO License Plate Detection : ¶ In this notebook, we'll implement real-time license plate detection using YOLO (You Only Look Once). The task becomes even more complex with Iranian license plates due to the 🚗 Real-Time Automatic Number Plate Recognition with Jetson Nano 🚓 Excited to share my project: Advanced Number Plate Recognition System! Using Jetson Nano, I developed a real-time license 🚗 YOLOv8 License Plate Detection Model This repository contains a YOLOv8 object detection model trained to detect license plates in real-world images. Neural Network in YOLO uses weights trained by the user through annotated training data by using bounding boxes. ; Chen, F. The Number Plate Recognition (NPR) using hybrid techniques (image processing + Optical Character Recognition (OCR)) is utmost important in design of security system, that automatically read and recognize the characters on a vehicle's number plate. Detect license plates efficiently in images and video streams for various applications. License Plate Detection with Yolov5 距离上次车牌检测模型更新已经过了一年多的时间，这段时间也有很多快速、准确的模型提出，我们利用单物体检测算法Yolov5进行了车牌检测模型的训练，通过测试，检测效果和适用性都更突出，支持的模型也更为丰富。 Train the YOLOv8 model on the prepared dataset for license plate and car detection. python tensorflow darknet alpr plate-detection license-plate-recognition Updated on Jul 1, 2022 C Sci: 1077-1085 Wu, R. This project demonstrates the power of AI in automated license plate recognition by combining YOLO for object detection and Google Gemini API for OCR. Download scientific diagram | Annotated license plate. Jan 6, 2025 · This project demonstrates the power of AI in automated license plate recognition by combining YOLO for object detection and Google Gemini API for OCR. py file for interpolation of values to match up for the missing This application detects license plates in images you provide, whether from a URL, an upload, or your webcam. 1️⃣ YOLO License Plate Detection : ¶ In this notebook, we'll implement real-time license plate detection using YOLO (You Only Look Once). - utkuatasoy/License-Plate-Recognition-System License Plate Detection using YOLOv8. Learn how to build a real-time license plate detection system using YOLOv8 and OCR. Contribute to computervisioneng/automatic-number-plate-recognition-python-yolov8 development by creating an account on GitHub. A reliable and effective ALPR system built on the cutting-edge YOLO object detector is presented in this research. 🚗🚙 Dec 18, 2025 · Traditional methods of license plate detection, while commendable in their efforts, often grapple with challenges such as variability in environmental conditions, diverse license plate designs across regions, and the need for real-time processing. The Streamlit interface makes the application In this article, I will walk you through how I built a license plate detection system using YOLOv8 for detecting plates and PyTesseract for extracting text from them. Rashedul Alam and others published Advanced Traffic Optimization and Automated Toll Collection System using Automated Number Plate Recognition and Modified 🚗 New Project: Real-Time License Plate Detection with YOLO! I just wrapped up a Computer Vision project focused on Automatic Number Plate Recognition (ANPR). yaml file that comes with the dataset: See how Ultralytics YOLO11 can be used in Automatic Number Plate Recognition (ANPR) systems for real-time detection and help with traffic and parking management. The system Download scientific diagram | Sample images of the NightLPBD dataset. Run the add_missing_data. Implementing YOLO for Automatic Number Plate Recognition (ANPR) involves training a YOLO model on a custom dataset of license plate images and then integrating it with an OCR (Optical Character Recognition) system to read the characters from the detected license plate regions This repository demonstrates license plate recognition using the YOLOv8 object detection algorithm, showcasing the versatility of the YOLO architecture in real-world scenarios such as vehicle identification, traffic monitoring, and geospatial analysis. YOLOv11-License-Plate Detection This is a fine-tuned version of YOLOv11 (n, s, m, l, x) specialized for License Plate Detection, using a public dataset from Roboflow Universe: A Yolov8 pre-trained model (YOLOv8n) was used to detect vehicles. The Using object detection techniques like YOLO (You Only Look Once) or Faster R-CNN combined with Optical Character Recognition (OCR) you can identify license plates. See how Ultralytics YOLO11 can be used in Automatic Number Plate Recognition (ANPR) systems for real-time detection and help with traffic and parking management. - haos-eco/smart-gate Traffic Management using YOLO for Vehicle Fitness and License Plate Detection with Automated Alert System. cfyz, jfxoc3, eui2l, d4xwn, rvojb, v5halc, w81b3t, 3bbc, 7h2op, bvn2be,