Downloads - GOT-10k

Code

The benchmark offers light-weighted and compile-free toolkits written in pure Python and MATLAB. You will find tutorials and examples in the corresponding repositories.

• Python repository ($ pip install got10k)
• MATLAB repository

Data

To download GOT-10k files, please click one of the following links and provide your email address in the new page. We will send you an email with an link to your download.

• Full data (66 GB)
• Test data only (1.1 GB)
• Validation data only (1.0 GB)

Data File Structure

The downloaded and extracted full dataset should follow the file structure:

  |-- GOT-10k/
     |-- train/
     |  |-- GOT-10k_Train_000001/
     |  |   ......
     |  |-- GOT-10k_Train_009335/
     |  |-- list.txt
     |-- val/
     |  |-- GOT-10k_Val_000001/
     |  |   ......
     |  |-- GOT-10k_Val_000180/
     |  |-- list.txt
     |-- test/
     |  |-- GOT-10k_Test_000001/
     |  |   ......
     |  |-- GOT-10k_Test_000180/
     |  |-- list.txt

Annotation Description

Each sequence folder contains 4 annotation files and 1 meta file. A brief description of these files follows (let N denotes sequence length):

• groundtruth.txt -- An N×4 matrix with each line representing object location [xmin, ymin, width, height] in one frame.
• cover.label -- An N×1 array representing object visible ratios, with levels ranging from 0~8.
• absense.label -- An binary N×1 array indicating whether an object is absent or present in each frame.
• cut_by_image.label -- An binary N×1 array indicating whether an object is cut by image in each frame.
• meta_info.ini -- Meta information about the sequence, including object and motion classes, video URL and more.

Values 0~8 in file cover.label correspond to ranges of object visible ratios: 0%, (0%, 15%], (15%~30%], (30%, 45%], (45%, 60%], (60%, 75%], (75%, 90%], (90%, 100%) and 100% respectively.

License

The GOT-10k dataset is licensed under CC BY-NC-SA 4.0. You are free to use the dataset for research purpose. If you want to use it for commercial purpose, please contact us.

Results

Download baseline tracking results and performance reports of 25 public entries on GOT-10k from the following links:

• Results on GOT-10k (25 entries)
• Performance on GOT-10k (25 entries)

Citation

Please cite this paper if you use the code or datasets: