Create README.md

README.md

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+---
+license: mit
+datasets:
+- PaPieta/MozzaVID_Small
+- PaPieta/MozzaVID_Base
+- PaPieta/MozzaVID_Large
+tags:
+  - volumetric
+  - 3D
+  - X-ray_tomography
+  - mozzarella
+  - cheese
+  - food_science
+---
+
+# MozzaVID dataset - evaluated models checkpoints
+
+Checkpoints of models evaluated on the MozzaVID dataset in the associated article. 
+
+### [[Paper](https://arxiv.org/abs/2412.04880)] [[Project website](https://papieta.github.io/MozzaVID/)]
+
+For details on model use, visit our GitHub [GitHub](https://github.com/PaPieta/MozzaVID)
+
+## Data
+
+Hugging Face - WebDataset format:
+
+* [Small split](https://huggingface.co/datasets/PaPieta/MozzaVID_Small)
+* [Base split](https://huggingface.co/datasets/PaPieta/MozzaVID_Base)
+* [Large split](https://huggingface.co/datasets/PaPieta/MozzaVID_Large)
+
+Raw data: [[LINK](https://archive.compute.dtu.dk/files/public/projects/MozzaVID/)]
+
+
+## Citation
+
+If you use the dataset or models in your work, please consider citing our publication:
+
+```
+@misc{pieta2024b,
+  title={MozzaVID: Mozzarella Volumetric Image Dataset},
+  author={Pawel Tomasz Pieta and Peter Winkel Rasmussen and Anders Bjorholm Dahl and Jeppe Revall Frisvad and Siavash Arjomand Bigdeli and Carsten Gundlach and Anders Nymark Christensen},
+  year={2024},
+  howpublished={arXiv:2412.04880 [cs.CV]},
+  eprint={2412.04880},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV},
+  url={https://arxiv.org/abs/2412.04880},
+}
+```