Real 3D-AD

Introduced by Liu et al. in Real3D-AD: A Dataset of Point Cloud Anomaly Detection

Real 3D-AD is the first point cloud anomaly detection dataset for industrial products. Real3D-AD comprises a total of 1,254 samples that are distributed across 12 distinct categories. These categories include Airplane, Car, Candybar, Chicken, Diamond, Duck, Fish, Gemstone, Seahorse, Shell, Starfish, and Toffees. Each training sample is an absence of blind spots, and a realistic, high-accuracy prototype.


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  • The dataset is released under the CC BY 4.0 license.