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retinai-rop-weights
Champ610/retinai-rop-weights
retinai-rop-weights is a machine learning model from Champ610. 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 other.
Trained checkpoints for the RetinAI BE capstone project (VESIT, 2026–27). Downloaded automatically by scripts/getweights.py in the project repository.
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Updated Aug 15, 2026
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.pth177 MB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026
- SHA
- 66e63217
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Model card
From the Hugging Face model README
RetinAI — ROP model weights
Trained checkpoints for the RetinAI BE capstone project (VESIT, 2026–27).
Downloaded automatically by scripts/get_weights.py in the
project repository.
| File | Model | Notes |
|---|---|---|
rop_screening_resnet50.pth | ROP binary screening (ResNet50) | AUC 0.927 pooled / 0.881 device-controlled; sens 0.990 @ thr 0.1933 |
rop_staging_effnetv2s_structured_fold0.pth | 6-class ICROP staging, research preview | Structured head (ordinal CORN + AP-ROP branch); fold-0 checkpoint of a 5-fold CV (macro-F1 0.692 ± 0.086) |
Not a medical device. Research prototype, no regulatory clearance, no prospective validation. The staging checkpoint is a research preview, not a clinical grade. Trained on de-identified images; this repository contains weights only, no patient data.
- License
- other
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026