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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
Also, is there any difference between tracking and tracking-2023? Do they only differ in the challenge set?
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:
train set, with GT bbox and tracklet information to train on
test set, with GT bbox and tracklet information to test offline
Hi, thanks for your great work.
Some questions regarding the annotation format: In the main paper, you claimed that there are 10 columns
However, there are only 9 columns in MOT20. I am curious that if the last column has any meaning?
Also, is there any difference between tracking and tracking-2023? Do they only differ in the challenge set?
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