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Dataset Format and Difference between tracking and tracking-2023 #11

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WesleyHsieh0806 opened this issue Apr 1, 2023 · 2 comments
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@WesleyHsieh0806
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WesleyHsieh0806 commented Apr 1, 2023

Hi, thanks for your great work.
Some questions regarding the annotation format: In the main paper, you claimed that there are 10 columns

The ground truth and detections are stored in their own subfolder in comma-separate csv files with 10 columns. These values correspond in order to: frame ID, track ID, top left coordinate of the bounding box, top y coordinate, width, height, confidence score for the detection (always 1. for the ground truth) and the remaining values are set to -1 as they are not used in our dataset, but are needed to comply with the MOT20 requirements

However, there are only 9 columns in MOT20. I am curious that if the last column has any meaning?

MOT20 dataset format
image

Also, is there any difference between tracking and tracking-2023? Do they only differ in the challenge set?

mySoccerNetDownloader.downloadDataTask(task="tracking", split=["train", "test", "challenge"])
mySoccerNetDownloader.downloadDataTask(task="tracking-2023", split=["train", "test", "challenge"])
@SilvioGiancola
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Hi @WesleyHsieh0806 , The main difference between tracking (from 2022) and tracking-2023 are the set of sequences in the challenge set that are different from each other and the fat that we do not provide the GT bounding boxes anymore.

To clarify the splits, we provide the following:

As per the MOT format, I will let @paulxinzhou answer that detail :)

Cheers,

@paulxinzhou
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Hi @WesleyHsieh0806, you are right. I think we have an extra -1 column at the end compared to MOT20.

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