---
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).