3D-ADAM: A Dataset for 3D Anomaly Detection in Additive Manufacturing
Paper
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2507.07838
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Published
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Repository for the 3D-ADAM (3D Anomaly Detection in Additive Manufacturing) Dataset. This is the raw data for our complete dataset, separated by part-instance to allow users to utilise the dataset as desired.
We provide a single-camera (using the MechMind-Nano) subset prepared for unsupervised training at anomaly detection, localisation and segementation tasks through the anomalib library in a separate repository: here
Our ArXiv paper can also be found here: 3D-ADAM Dataset
This project has been supported by the 1851 Royal Commission and HAL Robotics