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Trocr Base Printed Captcha Ocr

Developed by DunnBC22
A captcha OCR model fine-tuned based on microsoft/trocr-base-printed, designed to extract text from image captchas.
Downloads 272
Release Time : 1/13/2023

Model Overview

This model is specifically designed to recognize and extract text content from image captchas, demonstrating the capability to solve complex captcha recognition problems.

Model Features

High-precision captcha recognition
Achieves a character error rate of 0.0075 on the evaluation set, demonstrating excellent performance.
Based on TrOCR architecture
Utilizes Transformer-based OCR architecture, combining visual and language processing capabilities.
Lightweight fine-tuning
Fine-tuned based on a pre-trained model, requiring only a small amount of training data to achieve good results.

Model Capabilities

Image captcha text recognition
English text extraction
Printed character recognition

Use Cases

Security verification
Automatic captcha recognition
Used for automatic recognition and filling of captchas in automated testing.
Character error rate 0.0075
Data collection
Captcha dataset labeling
Assists in the automatic labeling of captcha datasets.
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