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fmdnet-weights
smthooper/fmdnet-weights
fmdnet-weights is a machine learning model from smthooper. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
FMDNet is a pretrained denoising model for fluorescence microscopy data. This repository provides checkpoint weights consumed by the fmdnet Python package.
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Public
Updated Jun 12, 2026
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37.6 MB
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.pt37.6 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Jun 12, 2026
- SHA
- 6ca4e1c0
Model card
From the Hugging Face model README
FMDNet Weights (smthooper/fmdnet-weights)
Model Summary
FMDNet is a pretrained denoising model for fluorescence microscopy data.
This repository provides checkpoint weights consumed by the fmdnet Python package.
Provided files:
fmdnet_3d.ptfmdnet_2d.pt
Intended Use
- Denoising fluorescence microscopy images/volumes.
- Load with:
FMDNet.from_pretrained("fmdnet-3d")FMDNet.from_pretrained("fmdnet-2d")
Out-of-Scope / Non-Intended Use
- Clinical diagnosis or treatment decisions.
- Safety-critical deployment without domain-specific validation.
- Data modalities outside fluorescence microscopy.
Limitations
- Performance depends on imaging conditions.
- Memory limits may apply for large volumes.
Training / Fine-Tuning Context
Base checkpoints are intended as general pretrained denoisers.
Fine-tuning is supported by the fmdnet package in:
supervisedcleannoisy
Version Compatibility
| Model repo/tag | Expected package version | Notes |
|---|---|---|
main (current) | fmdnet==0.0.1 | Initial public release |
License
Model weights license: Apache-2.0
Code repository license: Apache-2.0
Citation
If you use this model, please cite:
[ADD FULL PAPER CITATION]
- License
- apache-2.0
- Languages
- en
- Created
- Mar 2, 2026
- Updated
- Jun 12, 2026