Repository for the 3D-ADAM (3D Anomaly Detection in Additive Manufacturing) Dataset.
This is a single-camera (using the MechMind-Nano) subset prepared for unsupervised training at anomaly detection, localisation and segementation tasks through the anomalib library.
The full training, test and validation sets can be viewed and interacted with in this repository, and we also provide a zipped copy of the data which can be accessed automatically when using the dataset through the anomalib… See the full description on the dataset page:
https://huggingface.co/datasets/pmchard/3D-ADAM_anomalib.