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OpenCompass Hub
MMAD
MMAD is the first-ever full-spectrum MLLMs benchmark in industrial Anomaly Detection. Researchers defined seven key subtasks of MLLMs in industrial inspection and designed a novel pipeline to generate the MMAD dataset with 39,672 questions for 8,366 industrial images.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Southern University of Science and Technology, etc.
- Benchmark release
- 2024-10-12
- Collected
- 2026-08-18
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.