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anomalyDetectionService

Project information

This project is a comprehensive Anomaly Detection System designed to identify irregularities in image data using Deep Learning (Autoencoders, Variational Autoencoders) and statistical methods (Isolation Forest). It features a real-time web interface built with Streamlit for training, validation, and inference.

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Created on

December 10, 2025

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