What is MOT-17?
MOT-17 is a multi-object tracking dataset benchmark that is widely cited and used for research papers to demonstrate and compare performance. It is a composed of different video segments with densely populated pedestrian scenes and includes annotations generated from three different detectors with the corresponding truth annotations.
View an example dataset here.