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PoLAr-MAE-Semantic
DeepLearnPhysics/PoLAr-MAE-Semantic
PoLAr-MAE-Semantic is a machine learning model from DeepLearnPhysics. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pimm.
PoLAr-MAE fine-tuned for 4-class LArTPC semantic segmentation (shower, track, Michel, delta); reproduces the paper mF1 ≈ 0.82.
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At a glance
- Library
- pimm
- Access
- Public
- Created
- Jun 26, 2026
- Updated
- Jun 27, 2026
- SHA
- 450d8adf
Datasets
Model card
From the Hugging Face model README
PoLAr-MAE — semantic segmentation
PoLAr-MAE fine-tuned for 4-class LArTPC semantic segmentation (shower, track, Michel, delta); reproduces the paper mF1 ≈ 0.82.
- pimm type:
PoLArMAE-SemSeg· 4 classes
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import pimm
model = pimm.from_pretrained("hf://deeplearnphysics/polar-mae-semantic")
Provenance
Repackaged from the original PoLAr-MAE release checkpoints into the pimm export format. Inherits the source repo license.
- Library
- pimm
- Created
- Jun 26, 2026
- Updated
- Jun 27, 2026