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hinged-state-classifier-yolo26n-cls – AI Model by joonhaim | AlphaNeural AI
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joonhaim
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hinged-state-classifier-yolo26n-cls
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ultralytics
computer-vision
image-classification
yolo
yolo26
surgical-tools
surgical-instruments
binary-classification
joonhaim/hinged-state-classifier-crops
mit
us
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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.
