Evaluation of the submissions will be performed on a private test data set containing individual files of surgical videos @ 1FPS through grand-challenge automated docker submission and evaluation system. The test data and labels are hidden from the participants. 

We will use the standard COCO dataset bounding box detection evaluation metric (mAP@[0.5:0.05:0.95] - https://cocodataset.org/#detection-eval) for evaluations and determining the winners