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AbdurahmaanYuusuf avatar AbdurahmaanYuusuf commented on July 29, 2024 3

it is explained in this paper: MOT16: A Benchmark for Multi-Object Tracking

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abhishekchopde avatar abhishekchopde commented on July 29, 2024

@WurmD did you find an answer to this issue? I am also wondering about the same thing. What do the 9 columns represent exactlt? I am not sure about the last 3 fields.

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DerekGloudemans avatar DerekGloudemans commented on July 29, 2024

To summarize the paper, the columns are as follows:
<frame>, <id>, <bb_left>, <bb_top>, <bb_width>, <bb_height>, <conf>, <class>, <visibility>

where visibility is 1 if the object is completely visible and 0 if the object is completely occluded, and classes are:
Pedestrian 1
Person on vehicle 2
Car 3
Bicycle 4
Motorbike 5
Non motorized vehicle 6
Static person 7
Distractor 8
Occluder 9
Occluder on the ground 10
Occluder full 11
Reflection 12

Only ground-truth pedestrians are included in scoring

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JAYCHOU2020 avatar JAYCHOU2020 commented on July 29, 2024

scoring

, I would like to ask you,when i make my own data annotations , how is the visibility rate mentioned in the annotation obtained?

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DerekGloudemans avatar DerekGloudemans commented on July 29, 2024

Not 100% sure, try the paper. I'm guessing they combine truncation (how much of the object is within the frame) and intersection with other objects, possibly taking into account which objects are in front of one another.

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