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hinged-state-classifier-yolo26n-cls
joonhaim/hinged-state-classifier-yolo26n-cls
hinged-state-classifier-yolo26n-cls is a image classification model from joonhaim. Use it when you need a label for an image. It is set up for ultralytics. The card lists the license as mit.
YOLO26n classification model for surgical instrument state recognition.
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Repo size
3.2 MB
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.pt3.2 MB · 100%
At a glance
- Task
- Image Classification
- Library
- ultralytics
- License
- mit
- Access
- Public
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026
- SHA
- 535d26df
Model card
From the Hugging Face model README
hinged-state-classifier-yolo26n-cls
YOLO26n classification model for surgical instrument state recognition.
Task
Binary classification of hinged surgical instrument state:
- closed
- open
Model details
- Architecture: YOLO26n-cls
- Framework: Ultralytics YOLO
- Checkpoint:
best.pt - Input image size: 224 × 224
- Epochs: 40
- Batch size: 32
- Device used for training: MPS
- Pretrained: yes
- Optimizer: auto
- Initial learning rate (
lr0): 0.01 - Weight decay: 0.0005
Dataset
Trained on:
joonhaim/hinged-state-classifier-crops
Notes
This is a custom Ultralytics YOLO classification checkpoint for classifying the state of hinged surgical instruments from cropped images.
The class order must match the order used during training.
- Task
- Image Classification
- Library
- ultralytics
- License
- mit
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026