MaticFuc/SALAD
[ICCV 2025] SALAD -- Semantics-Aware Logical Anomaly Detection
This project helps quality control inspectors or manufacturing engineers automatically spot flaws in products. It takes images of manufactured items as input and identifies both obvious surface defects like scratches, and more complex issues such as missing or misplaced parts. The output highlights these anomalies, making it easier to maintain high product quality.
No commits in the last 6 months.
Use this if you need to detect subtle structural defects and logical inconsistencies in product images during manufacturing, beyond just simple surface imperfections.
Not ideal if you are looking for a general-purpose image analysis tool or if your anomaly detection needs are limited to basic surface flaws that can be caught by simpler methods.
Stars
42
Forks
6
Language
Python
License
MIT
Category
Last pushed
Oct 03, 2025
Commits (30d)
0
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