README.md

metadata

title: MVTec Anomaly Detection Demo
emoji: 🔍
colorFrom: blue
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit

MVTec Anomaly Detection Demo

Upload an image or pick a sample to detect anomalies using PaDiM / PatchCore / FastFlow models trained on the MVTec AD benchmark.

Models

• PaDiM — Patch Distribution Modeling (multivariate Gaussian per patch)
• PatchCore — Memory bank + K-Nearest Neighbors
• FastFlow — Normalising flows on CNN features

Dataset

MVTec Anomaly Detection Dataset