File size: 972 Bytes
d2397f7 7525b90 d2397f7 a00dd59 6d761ec a00dd59 d2397f7 ff3dba4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | ---
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 contrastive 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). |