Abstract: Systems and techniques may be used to perform surgical object detection machine learning. An example technique may include capturing a video of an operating room, the video including a set of frames, and generating, using an initial machine learning model, a set of bounding boxes corresponding to a specified object identified in one or more of the set of frames. The example technique may include receiving respective indications for each of the set of frames indicating whether each of the set of the frames were correctly labeled or incorrectly labeled for the specified object, and retraining 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. The updated machine learning model may be output.