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Surgical Anomaly Detector

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

TypeOtherVersionRevision d2de23f

Source du modèle

Type
Other
Taille du fichier
5,50 MB
Version
vRevision d2de23f
Mis à jour
16 sept. 2026
Téléchargements
0
Tâches
Détection d'objets
Source
Hugging Face

Description de la source

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

Sources

1 source
Hugging FacePrincipalVersion d2de23f569687df6ac0325e85a07d65fa4006f72
huggingface.co/ayushsharma4002/surgical-anomaly-detector/tree/d2de23f569687df6ac0325e85a07d65fa4006f72

Vérifié 16 sept.

Artefacts du modèle

1 artefact

surgical-anomaly.pt

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

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Extraits de sources

2 extraits

--- 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

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