tientrandinh/Revisiting-Reverse-Distillation
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
This project helps quality control engineers and manufacturing line managers quickly identify defects in industrial products. It takes images of items like textiles, metal surfaces, or food products, and outputs a clear indication of whether an item is normal or anomalous, along with highlighting where the anomaly is located. It's designed for anyone needing to automate visual inspection to catch manufacturing flaws efficiently.
164 stars. No commits in the last 6 months.
Use this if you need a fast and accurate way to automatically detect defects in products on an assembly line using image analysis.
Not ideal if your anomaly detection task doesn't involve visual data or if you need to detect anomalies in highly varied, non-industrial contexts.
Stars
164
Forks
31
Language
Python
License
MIT
Category
Last pushed
Dec 28, 2023
Commits (30d)
0
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