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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
Surgery Inventory Synthetic NVIDIA
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.
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Dataset summary
Data collected
30,001 itemsLabels
scalpel, scissors, sponge, tweezersProject info
| Project ID | 371734 |
| License | Apache 2.0 |
| No. of views | 100,903 |
| No. of clones | 1 |
