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Yolos Small Finetuned License Plate Detection

Developed by nickmuchi
A license plate detection model fine-tuned based on the YOLOS-small architecture, trained on the Roboflow license plate recognition dataset with an average precision of 49.0
Downloads 1,783
Release Time : 8/18/2022

Model Overview

This model is a Vision Transformer optimized specifically for license plate detection tasks, suitable for scenarios such as vehicle monitoring and intelligent transportation systems

Model Features

High Precision Detection
Achieves 79.2% AP at IoU=0.5, accurately identifying license plates in various scenarios
Multi-Scale Adaptation
Optimized for objects of different sizes, with large object detection AP reaching 82.4%
Transformer Architecture
Utilizes Vision Transformer structure with global perception capability

Model Capabilities

Vehicle Object Detection
License Plate Localization and Recognition
Multi-Scale Object Detection

Use Cases

Intelligent Transportation Systems
Electronic Police Systems
Automatically recognize vehicle license plates in road surveillance videos
67.6% recall rate on the validation set
Parking Lot Management
Real-time detection of license plate information for incoming and outgoing vehicles
Large object detection AP reaches 82.4%
Security Surveillance
Suspect Vehicle Tracking
Quickly locate specific license plates from surveillance videos
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