MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models
MMR-AD builds a large multimodal industrial anomaly benchmark with reasoning traces, localization annotations, and cross-dataset evaluation splits, then uses it to show that current generalist MLLMs still struggle badly on practical anomaly detection and especially anomaly localization.