| --- |
| github: https://github.com/3D-fossils-Haag/nsm |
| datasets: |
| - BioVisionLab/vertebrae_meshes_v72 |
| - BioVisionLab/train_data |
| base_model: |
| - BioVisionLab/run_v72 |
| tags: |
| - NSM |
| - DeepSDF |
| - TriplanarDecoder |
| - SignedDistanceFunction |
| - generativeAI |
| - 3D |
| - lizard |
| - vertebrae |
| - squamate |
| - reptile |
| - museum |
| language: |
| - en |
| license: openrail |
| --- |
| ## Model Description |
| Trained on 2896 presacral vertebrae meshes from 95 specimens representing all families of lizards and a few snakes. Trained using same data and parameters as [baseline v72 model](https://huggingface.co/BioVisionLab/run_v72), but with hierarchy loss. |
|
|
| ## Model Use |
| Can be used to do shape completion and classification of unknown squamate vertebrae (modern or fossil). |
|
|
| ## Citation |
|
|
| If you use this model, its weights, or the underlying research in your work, please cite it using the following: |
| Wolcott et al. 2026. “Vert-NSM” GitHub repository. https://github.com/3D-fossils-Haag/vert-nsm (accessed YYYY-MM-DD). |
