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Fraud Detection Idnet Three Class
F
Fraud Detection Idnet Three Class
Developed by IrishMehta
This model is used to detect fraudulent activities in ID card images, capable of identifying traces of tampering, rewriting, cropping, and replacement.
Downloads 242
Release Time : 4/16/2025
Model Overview
This model is an image classification model specifically designed to detect fraudulent activities in ID card images. It can classify images into three categories: non-fraudulent images, traces of ID card tampering and rewriting, and traces of ID card cropping and replacement.
Model Features
Fraud Detection
Capable of identifying traces of tampering, rewriting, cropping, and replacement in ID card images.
Three-Class Classification
Classifies images into three categories: non-fraudulent images, traces of ID card tampering and rewriting, and traces of ID card cropping and replacement.
Computer Vision
Based on computer vision technology, suitable for image classification tasks.
Model Capabilities
Image Classification
Fraud Detection
ID Card Image Analysis
Use Cases
Financial Security
ID Card Fraud Detection
Used by financial institutions to detect the authenticity of ID card images during account opening or identity verification processes.
Effectively identifies traces of tampering, rewriting, cropping, and replacement.
Legal Compliance
Legal Document Verification
Used by legal institutions to verify the authenticity of ID card images, preventing fraudulent activities.
Improves the accuracy and efficiency of identity verification.
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