/Underwater-Multiple-Object-Tracking-Dataset

Underwater MOT: Underwater Multiple Object Tracking dataset

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Underwater Multiple Object Tracking Dataset

Related paper: In Situ Holothurian Noncontact Counting System: A General Framework for Holothurian Counting This is a dataset for multiple object tracking in underwater environment. The only target in the dataset is holothurian. So far as we know, the need for holothurian is growing fast in China in recent years,, which encourages the development of holothurian aquaculture. The farmers need to know the abundance and distribution of the holothurian, so that they can evaluate the growth status and decide the right time to harvest. However, traditional method requires farmers to employ a diver to do the counting. However, that cost of hiring divers is high and there are not enough divers. Therefore, it is necessary to develop an in-situ non-contact holothurian counting system. And that is what we make this dataset for. The whole dataset is composed of two parts, part 1 is made for training the detector and part 2 is made for evaluating the performance of tracking and counting. We make the part 2 in the same format as MOT16

Download

The dataset can be downloaded by Baidu Netdisk code:uk7x

Underwater MOT dataset(Part 1)

This part is made for training the detector. The dataset is labeled in the same format as VOC2007

Underwater MOT dataset(Part 2)

There are four zip files in total. Download them and unzip you can get four folders. The "Raw" folder is the original dataset without underwate enhancement. "CLAHE","Fusion" and "UGAN-GP" are the enhanced ones by CLAHE, Fusion and UGAN-GP.

The structure of each folder is as follow:(take "Raw" as an example)

─Raw
    ├─2019-05-11_06.31.53
    │  ├─det
    |  |  └─det.txt
    │  ├─gt
    |  |  └─gt.txt
    │  └─img1
    |     ├─1.jpg
    |     ├─2.jpg
    |     ...
    ├─2019-05-11_06.36.47
    │  ├─det
    │  ├─gt
    │  └─img1
    |  ...

Folder "img1" stores the sequence of the video. File "det.txt" records the detection ground truth of the images in "img1". Filer "gt.txt" records the tracking ground truth of the images in "img1". The format of "det.txt" and "gt.txt" are as follows:

  • "det.txt"
<frame>, <id>, <bb_left>, <bb_top>, <bb_width>, <bb_height>, <confidence>, <x>, <y>, <z>
1,-1,296,423,84,55,0.999984,-1,-1,-1
1,-1,949,371,108,47,0.99999094,-1,-1,-1
1,-1,1045,310,43,40,1.0,-1,-1,-1
...
  • "gt.txt"
<frame>,<id>,<bb_left>,<bb_top>,<bb_w>,<bb_h>,<available>,<cls>,<visibility>
1,1,1490,376,80,56,1,1,1
2,1,1490,377,77,59,1,1,1
3,1,1488,380,86,59,1,1,1

Note: in "det.txt" are reserved for 3D location. in "gt.txt" is "1" now, because only holothurians are labeled in this dataset.

The video name is order by time in format of year-month-day_hour.minute.second.mp4, and the video id in the paper is recorded in the following table:

Video name Video id in paper
2019-05-11_06.31.53.mp4 Video1
2019-05-11_06.36.47.mp4 Video2
2019-05-15_17.45.28.mp4 Video3
2019-05-15_17.52.58.mp4 Video4
2019-07-03_09.51.35.mp4 Video5
2019-07-03_09.52.44.mp4 Video6
2019-07-03_10.00.01.mp4 Video7
2019-07-03_10.01.01.mp4 Video8
2019-07-03_10.05.28.mp4 Video9
2019-07-03_10.06.43.mp4 Video10