Trocr Base Printed License Plates Ocr
An OCR model fine-tuned based on microsoft/trocr-base-printed, specifically designed for recognizing printed license plate numbers.
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Release Time : 2/14/2024
Model Overview
This model is an OCR model based on the TrOCR architecture, fine-tuned specifically for recognizing printed license plate numbers with high recognition accuracy.
Model Features
High Accuracy License Plate Recognition
Optimized specifically for license plate number recognition, with a validation set character error rate (Cer) of only 0.0343.
Based on TrOCR Architecture
Utilizes Transformer architecture, combining visual and language processing capabilities.
Fine-Tuning Optimization
Targeted fine-tuning on the base model to enhance performance in specific scenarios.
Model Capabilities
Printed Text Recognition
License Plate Number Recognition
Image-to-Text Conversion
Use Cases
Intelligent Transportation Systems
Automatic License Plate Recognition
Used for automatic license plate recognition in scenarios such as parking lots and toll stations.
Character error rate 0.0343
Document Processing
Printed Document OCR
Recognizes text content in printed documents.
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