Future Data Flows (FDF)
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About
Future Data Flows (FDF) is a cross-platform framework for fraud detection, particularly adept at identifying faked photos. It analyzes images and assigns a probability of being fake. The system boasts high recall and precision rates, even when including images with undefined fake probabilities (suspicious images). FDF is applicable to various scenarios requiring user data trust verification, including banking documents and certifications. While errors can occur, they can be minimized by adjusting a single parameter to increase the false-positive threshold.
Platform
Task
Features
• fraud detection
• faked photos detection
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