Surgical Anomaly Detector
A YOLOv10 model trained to detect surgical instruments and anatomical structures in laparoscopic surgery video frames.
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
Sources
1 sourceVérifié 16 sept.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
2 extraits
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
