Anomaly Detection dataset for the fuselage of an aircraft

If you use the dataset, please cite: <em>Siddhant Shete, Dennis Mronga</em> <strong>"Adaptive Online Anomaly Detection using Transfer Learning"</strong> About the dataset: The dataset is basically used for anomaly detection in the fuselage of an aircraft manufacturing company. We captured the data on the mockup of the fuselage with several iterations at different distances away from the mockup. The dataset is basically the scans of mockup from top to bottom with and without anomalies. The dataset has been segregated into two panels. Contents of <em><strong> AircraftFuselageMockupDataset.zip </strong></em> Nomal_panel1 Nomal_panel2 Anomaly_panel1 Anomaly_panel2 Every folder has data at 3 distances 15cm, 25cm, 35cm. <em>This dataset is provided by the Robotics Innivation Center, DFKI GmbH.</em> <em>The grant was provided by Federal Ministry for Economic Affairs and Climate Action </em> <em>Grant number: 20W1922F</em>