Edge Impulse Experts / Surgery Inventory Synthetic NVIDIA
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About this project
This is a computer vision application to keep track of instruments and materials used during surgery as an extra layer of control to avoid Retained Surgical Bodies. To achieve this an object detection model was created using over 30,000 annotated synthetic training images generated with NVIDIA Omniverse Replicator.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 24010 windows | |
| Image training labels | JSON file | 24010 windows | |
| Image testing data | NPY file | 5990 windows | |
| Image testing labels | JSON file | 5990 windows | |
| Object detection model | TensorFlow Lite (float32) | 83 KB | |
| Object detection model | TensorFlow Lite (int8 quantized) | 55 KB | |
| Object detection model | Model evaluation metrics (JSON file) | 6 KB | |
| Object detection model | TensorFlow SavedModel | 188 KB | |
| Object detection model | Keras h5 model | 90 KB |
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Summary
Data collected
30,000 itemsProject info
| Project ID | 371734 |
| License | Apache 2.0 |
