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Trocr Base Printed License Plates Ocr
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Trocr Base Printed License Plates Ocr

Developed by artbreguez
A fine-tuned printed license plate OCR model based on microsoft/trocr-base-printed, with a character error rate of 0.037 on the evaluation set
Text Recognition
Transformers
#License Plate Recognition#Printed Text OCR#Low Error Rate
Downloads 163
Release Time : 4/26/2024

Model Overview

This model is an Optical Character Recognition (OCR) model designed for recognizing printed license plates, fine-tuned based on the TrOCR architecture, excelling in standard printed text recognition tasks

Model Features

Low Error Rate
Achieves an outstanding character error rate of only 3.7% on the evaluation set
Based on TrOCR Architecture
Utilizes Transformer architecture, combining visual and language understanding capabilities
Optimized for License Plates
Specifically fine-tuned for printed license plate recognition tasks

Model Capabilities

Printed text recognition
License plate number recognition
Image-to-text conversion

Use Cases

Traffic Management
Automatic License Plate Recognition System
Used for automatic license plate recognition in scenarios such as parking lots and toll stations
Character error rate 3.7%
Document Processing
Printed Document OCR
Recognizes text content in standard printed documents
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