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EFIQA
penway47/EFIQA
EFIQA is a machine learning model from penway47. 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 mit.
We ground fundus quality assessment in anatomical integrity rather than subjective labels, enabling an unsupervised approach with spatial explainability and robust cross-dataset generalization.
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Public
Updated Jan 23, 2026
Repo size
124 MB
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2
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Repo makeup
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At a glance
- License
- mit
- Access
- Public
- Created
- Dec 11, 2025
- Updated
- Jan 23, 2026
- SHA
- 2b8aca9b
Model card
From the Hugging Face model README
EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors
We ground fundus quality assessment in anatomical integrity rather than subjective labels, enabling an unsupervised approach with spatial explainability and robust cross-dataset generalization.
Currently under review in MIDL2026: https://openreview.net/forum?id=b9TBF3O88T
Code
Currently you can access on GitHub https://github.com/penway/EFIQA.
Inference
Test our model directly online at: https://huggingface.co/spaces/penway47/EFIQA. You can also download script and weight there.
- License
- mit
- Created
- Dec 11, 2025
- Updated
- Jan 23, 2026