Published March 6, 2025 | Version v2
Dataset Open

ExpertSegmentation: Sample datasets for segmentation of microscopy with domain-informed targets via custom loss

  • 1. ROR icon National Renewable Energy Laboratory
  • 2. National Renewable Energy Lab

Description

Sample datasets for submission to NeurIPS 2024 titled ExpertSegmentation: Segmentation for microscopy with domain-informed targets via custom loss. Hand-labels were generated using Ilastik. Files include:

  1. NMC_3D: 3D, 2-phase, microCT image of a Lithium-ion battery LiNiMnCoO2 electrode
  2. NMC_3D_Labels: Hand labels for NMC_3D volume.
  3. NMC_2D: 2D, 4-phase, SEM image of a Lithium-ion battery LiNiMnCoO2 electrode cross-section
  4. NMC_2D_Labels: Hand labels for NMC_2D image.
  5. Graphite_3D: 3D, 3-phase, microCT image of a Laser-ablated lithium-ion battery graphite electrode
  6. Graphite_3D_Labels: Hand labels for Graphite_3D volume.
  7. PEMFC_3D: 3D, 5-phase, microCT image of a Polymer Electrolyte Membrane Fuel Cell (PEMFC)
  8. PEMFC_3D_Labels: Hand labels for PEMFC_3D volume.

See references for dataset sources.

Files

Graphite_3D.tif

Files (56.7 MB)

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md5:fa451e689d0111ee21391f48d66f5825
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md5:a5dc9a04df82b146cc6059e7fc4448ae
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Additional details

References

  • Francois LE Usseglio-Viretta, Andrew Colclasure, Aashutosh N Mistry, Koffi Pierre Yao Claver, Fezzeh Pouraghajan, Donal P Finegan, Thomas MM Heenan, Daniel Abraham, Partha P Mukherjee, Dean Wheeler, et al. Resolving the discrepancy in tortuosity factor estimation for li-ion battery electrodes through micro-macro modeling and experiment. Journal of The Electrochemical Society, 165(14):A3403–A3426, 2018.
  • Nathan Dunlap, Dana B Sulas-Kern, Peter J Weddle, Francois Usseglio-Viretta, Patrick Walker, Paul Todd, David Boone, Andrew M Colclasure, Kandler Smith, Bertrand J Tremolet de Villers, et al. Laser ablation for structuring li-ion electrodes for fast charging and its impact on material properties, rate capability, li plating, and wetting. Journal of Power Sources, 537:231464, 2022.12.
  • Ying Da Wang, Quentin Meyer, Kunning Tang, James E. McClure, Robin T. White, Stephen T. Kelly, Matthew M. Crawford, Francesco Iacoviello, Dan J. L. Brett, Paul R. Shearing, Peyman Mostaghimi, Chuan Zhao, and Ryan T. Armstrong. Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning. Nature Communications, 14(1):745, February 2023.