AI RESEARCH
CAD 100K: A Comprehensive Multi-Task Dataset for Car Related Visual Anomaly Detection
arXiv CS.CV
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ArXi:2604.09023v1 Announce Type: new Multi-task visual anomaly detection is critical for car-related manufacturing quality assessment. However, existing methods remain task-specific, hindered by the absence of a unified benchmark for multi-task evaluation. To fill in this gap, We present the CAD Dataset, a large-scale and comprehensive benchmark designed for car-related multi-task visual anomaly detection. The dataset contains over 100 images crossing 7 vehicle domains and 3 tasks, providing models a comprehensive view for car-related anomaly detection.