metadata
library_name: pimm
datasets:
- DeepLearnPhysics/PILArNet-M
tags:
- particle-physics
- lartpc
- point-cloud
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
Loading
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.