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Image Text Captcha V2
A fine-tuned printed text recognition model based on microsoft/trocr-base-printed, mainly used for captcha recognition tasks
Downloads 66
Release Time : 6/2/2023
Model Overview
This model is a fine-tuned version of the TrOCR base model, specializing in recognizing printed text from images, particularly suitable for captcha recognition scenarios
Model Features
High Accuracy Captcha Recognition
Achieves a low character error rate of 5.88% on captcha text recognition tasks
Transformer-based Architecture
Utilizes advanced Transformer architecture with excellent sequence modeling capabilities
Fine-tuning Optimization
Targeted fine-tuning on the base model to improve performance on specific tasks
Model Capabilities
Printed text recognition in images
Captcha content extraction
Scene text recognition
Use Cases
Security Verification
Automatic Captcha Recognition
Automatically recognizes text content in website captchas
Character error rate 5.88%
Document Digitization
Printed Document Scanning Recognition
Converts printed document images into editable text
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