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hinged-state-classifier-efficientnet-b0
joonhaim/hinged-state-classifier-efficientnet-b0
hinged-state-classifier-efficientnet-b0 is a image classification model from joonhaim. Use it when you need a label for an image. It is set up for pytorch. The card lists the license as mit.
EfficientNet-B0 image classification model for surgical instrument state recognition.
Access
Public
Updated Apr 4, 2026
Repo size
16.3 MB
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0
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Repo makeup
Click a slice to open those files.
.pt16.3 MB · 100%
At a glance
- Task
- Image Classification
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026
- SHA
- 58476d89
Model card
From the Hugging Face model README
hinged-state-classifier-efficientnet-b0
EfficientNet-B0 image classification model for surgical instrument state recognition.
Task
Binary classification of hinged surgical instrument state:
- closed
- open
Model details
- Architecture: EfficientNet-B0
- Framework: PyTorch
- Checkpoint:
best.pt - Input image size: 224 × 224
Dataset
Trained on:
joonhaim/hinged-state-classifier-crops
Class mapping
- 0: closed
- 1: open
Notes
This is a custom PyTorch 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
- pytorch
- License
- mit
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026