Benchmark RadarAI BENCHMARK PROFILE
LIBAD
LIBAD is a multimodal anomaly detection dataset from Li-ion battery electrode manufacturing, providing aligned visible-light and X-ray radiography images. It includes benchmarks of methods under inline-compatible settings.
- Released
- 2026-08-08
- Readiness
- Paper only
- Primary field
- Industrial & Engineering
Why it matters
If available, it could enable evaluation of anomaly detection in continuous manufacturing with weakly correlated modalities, but without a release path, its standalone value is unverified.
Motivation
Multimodal industrial anomaly detection has largely focused on discrete products using strongly correlated RGB and 3D observations, leaving continuous process manufacturing and weakly correlated sensing modalities underexplored.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.