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vector-surgical-sam2-endovis18
txmedai/vector-surgical-sam2-endovis18
vector-surgical-sam2-endovis18 is a image segmentation model from txmedai. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for sam2. The card lists the license as apache-2.0.
Pinned Vector runtime package for the Surgical SAM 2 small checkpoint fine-tuned on EndoVis 2018 instrument masks. Its declared capability is prompted image segmentation: an RGB image and a bounding-box prompt produce…
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Updated Sep 3, 2026
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At a glance
- Task
- Image Segmentation
- Library
- sam2
- License
- apache-2.0
- Access
- Public
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026
- SHA
- 09e9851e
Model card
From the Hugging Face model README
Surgical SAM 2 — Vector package
Pinned Vector runtime package for the Surgical SAM 2 small checkpoint fine-tuned on EndoVis 2018 instrument masks. Its declared capability is prompted image segmentation: an RGB image and a bounding-box prompt produce an instrument mask and the model's predicted IoU. It is not an autonomous detector and not an RL policy.
Provenance:
- Upstream code and checkpoint:
jinlab-imvr/Surgical-SAM-2(Apache-2.0) - Seldinger runtime fork:
SeldingerMed/Surgical-SAM-2@fd424ac18126728d92125140f87374fdaf8ae78a - Checkpoint SHA-256:
c6202ee710badf747b4bf93fa3bfd8d82555e89d8ca3ff1e827493052d282955 - Training domain: EndoVis 2018
- Intended Vector evaluation domain: held-out EndoVis 2017 validation frames with box prompts derived from reference masks
The cross-dataset result is technical segmentation evidence only. It does not establish autonomous instrument detection, procedural safety, or clinical safety.
- Task
- Image Segmentation
- Library
- sam2
- License
- apache-2.0
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026