| | --- |
| | size_categories: 1K<n<10K |
| | language: |
| | - en |
| | pretty_name: '"3D ADAM - Anomalib"' |
| | tags: |
| | - computer-vision |
| | - anomaly-detection |
| | - 3D-anomaly-detection |
| | - 3D |
| | - industrial |
| | - detection |
| | - vision |
| | - anomaly |
| | - 3d-adam |
| | - advanced-manufacturing |
| | - manufacturing |
| | license: cc-by-nc-sa-4.0 |
| | --- |
| | 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](https://github.com/open-edge-platform/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 platform. |
| |
|
| | We provide the raw data for our complete dataset, separated by part-instance to allow users to utilise the dataset as desired in a separate repository [here](https://huggingface.co/datasets/pmchard/3D-ADAM) |
| |
|
| | Our ArXiv paper can also be found here: [3D-ADAM Dataset](https://arxiv.org/abs/2507.07838) |
| |
|
| | This project has been supported by the [1851 Royal Commission](https://royalcommission1851.org) and [HAL Robotics](https://hal-robotics.com) |
| |
|
| | --- |
| | license: cc-by-nc-sa-4.0 |
| | --- |
| |
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