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Yolov5m License Plate

Developed by keremberke
A license plate object detection model based on the YOLOv5m architecture, excelling in license plate detection tasks.
Downloads 15.13k
Release Time : 1/1/2023

Model Overview

This model is specifically designed for detecting license plates in images, utilizing the YOLOv5m architecture for efficient and accurate object detection.

Model Features

High-precision Detection
Achieves 98.8% mAP@0.5 accuracy in license plate detection tasks
Based on YOLOv5 Architecture
Employs the YOLOv5m architecture, balancing speed and accuracy
Easy to Use
Provides a simple Python interface for quick deployment

Model Capabilities

License Plate Detection
Object Localization
Image Analysis

Use Cases

Traffic Management
License Plate Recognition System
Used for automatic license plate recognition in traffic monitoring systems
High-precision detection of license plate locations
Parking Lot Management
Automatic Toll System
Identifies license plate information of incoming and outgoing vehicles
Enables unattended toll collection
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