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Surgical Anomaly Detector

A YOLOv10 model trained to detect surgical instruments and anatomical structures in laparoscopic surgery video frames.

Quellehuggingface.co/ayushsharma4002/surgical-anomaly-detector/tree/d2de23f569687df6ac0325e85a07d65fa4006f72
ArtOtherVersionRevision d2de23f

Modellquelle

Art
Other
Dateigröße
5,50 MB
Version
vRevision d2de23f
Aktualisiert
16. Sept. 2026
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0
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Objekterkennung
Quelle
Hugging Face

Quellenbeschreibung

Surgical Anomaly Detector

A YOLOv10 model trained to detect surgical instruments and anatomical structures in laparoscopic surgery video frames.

What it detects

  • Surgical instruments: Clipper, Bipolar, Cautery, Grasper, Scissors
  • Anatomy: Common bile duct, Cystic duct, Gallbladder, Liver, and more

Training

  • Architecture: YOLOv10n
  • Dataset: Merged Cholec80 + Laparoscopic Cholecystectomy (8,627 images)
  • Epochs: 50
  • mAP50: 0.691

Quellen

1 Quelle
Hugging FacePrimärVersion d2de23f569687df6ac0325e85a07d65fa4006f72
huggingface.co/ayushsharma4002/surgical-anomaly-detector/tree/d2de23f569687df6ac0325e85a07d65fa4006f72

Verifiziert 16. Sept.

Modellartefakte

1 Artefakt

surgical-anomaly.pt

pt · 5,50 MB · SHA-256 77ef49e08ac1…d021 · Hugging Face

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Quellenauszüge

2 Auszüge
Readme16. Sept.huggingface.co/ayushsharma4002/surgical-anomaly-detector

--- license: cc-by-4.0 tags: - computer-vision - object-detection - surgical-ai - yolo - medical --- # Surgical Anomaly Detector A YOLOv10 model trained to detect surgical instruments and anatomical structures in laparoscopic surgery video frames. ## What it detects - Surgical instruments: Clipper, Bipolar, Cautery, Grasper, Scissors - Anatomy: Common bile duct, Cystic duct, Gallbladder, Liver, and more ## Training - Architecture: YOLOv10n - Dataset: Merged Cholec80 + Laparoscopic Cholecystectomy (8,627 images) - Epochs: 50 - mAP50: 0.691

Note16. Sept.huggingface.co/ayushsharma4002/surgical-anomaly-detector

Source context: 0 downloads · 0 likes · Pipeline object-detection · Repo ayushsharma4002/surgical-anomaly-detector