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Crnn Fa License Plate Recognition V2
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Crnn Fa License Plate Recognition V2

Developed by hezarai
A robust OCR model based on CRNN, specifically designed for Persian license plate recognition. This model is a fine-tuned version of the base model on the Persian license plate dataset (v1).
Text Recognition Other#Persian License Plate OCR#CRNN Architecture#Specialized for Cropped Images
Downloads 199
Release Time : 6/9/2024

Model Overview

This model is an OCR model specifically designed for recognizing Persian license plates, based on the CRNN architecture, suitable for processing cropped license plate images.

Model Features

Optimized for Persian License Plates
The model is specifically optimized for Persian license plates, capable of accurately recognizing mixed numbers and characters on license plates.
Based on CRNN Architecture
Adopts the CRNN architecture, combining the advantages of convolutional neural networks and recurrent neural networks, making it suitable for sequence recognition tasks.
Requires Preprocessing
The model requires running a license plate detection model first to obtain cropped license plate images for proper functioning.

Model Capabilities

License Plate Text Recognition
Persian Character Recognition
Number Recognition

Use Cases

Traffic Management
Automatic License Plate Recognition System
Used for automatic license plate recognition in traffic monitoring systems
Capable of accurately recognizing mixed numbers and characters on Persian license plates
Parking Management
Smart Parking System
Used for automatic license plate recognition at parking lot entrances and exits
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