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skblv/resnet50-sarrarp50-gesture
resnet50-sarrarp50-gesture is a image classification model from skblv. Use it when you need a label for an image. It is set up for pytorch. The card lists the license as apache-2.0.
Supervised 8-way ResNet-50 baseline for suturing-gesture recognition on SAR-RARP50.
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Updated Aug 31, 2026
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From the Hugging Face model README
Supervised 8-way ResNet-50 baseline for suturing-gesture recognition on SAR-RARP50.
Trained as a baseline for the SDSC × Chicago Booth surgical video understanding leaderboard (Skill assessment tab).
This closed-set example mirrors the leaderboard format, not a text-input API for this checkpoint.
[surgical frame]
What suturing action is being performed in this frame?
Choose one label.
- Other
- Picking Up The Needle
- Positioning The Needle Tip
- Pushing The Needle Through The Tissue
- Pulling The Needle Out Of The Tissue
- Tying A Knot
- Cutting The Suture
- Returning Or Dropping The Needle
Full 636-frame validation split (95% bootstrap CI):
| Metric | Value |
|---|---|
| Exact match | 53.0% (49.2–57.1) |
Research baseline only. Not a medical device.