Surgical object detection machine learning

At least one non-transitory machine-readable medium, including instructions for operation at a mobile device, which when executed, cause processing circuitry to perform operations to:

• identify an initial machine learning model, the initial machine learning model trained to detect objects in a sterile field;
• capture a video of an operating room, the video including a set of frames;
• generate, using the initial machine learning model, a set of bounding boxes corresponding to a specified object identified in one or more of the set of frames;
• receive respective indications for each frame of the set of frames indicating whether each frame of the set of frames were correctly labeled or incorrectly labeled for the specified object;
• retrain the initial machine learning model using frames of the set of frames that were indicated to be incorrectly labeled for the specified object and corresponding bounding boxes of the set of bounding boxes to generate an updated machine learning model customized to the operating room;
• and
• output the updated machine learning model.

A device comprising:

• processing circuitry;
• and
• memory including instructions, which when executed by the processing circuitry, cause the processing circuitry to perform operations to:
• identify an initial machine learning model, the initial machine learning model trained to detect objects in a sterile field;
• capture a video of an operating room, the video including a set of frames;
• generate, using the initial machine learning model, a set of bounding boxes corresponding to a specified object identified in one or more of the set of frames;
• receive respective indications for each frame of the set of frames indicating whether each frame of the set of frames were correctly labeled or incorrectly labeled for the specified object;
• retrain the initial machine learning model using frames of the set of frames that were indicated to be incorrectly labeled for the specified object and corresponding bounding boxes of the set of bounding boxes to generate an updated machine learning model customized to the operating room;
• and
• output the updated machine learning model.