Surgical tools detection

 This week I was training the Surgical Tools Detection model. The dataset was taken from here.


To train the model and prepare it for inference I was using Roboflow. Roboflow is a robust web-platform for collecting datasets, training models and running them into production.

Training

I have split the data on 69/21/10 for train, val and test sets. Graphs with training metrics is shown below
Train / val metrics
To be more precise, on test set the model has 93.8% precision with 90% recall and 96.4% mAP.  It is considered as a high performance and means that the model can be used in production.

Inference

Roboflow itself provides multiple ways for inference. I could use web-API method (requests are sent to the server and the model sends back predictions), but to make it more flexible, I prefer python-package method. It can be easily imported to the main project of LibreHealth and run.

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