Download our light-weighted, compile-free tracking toolkits or full dataset here.
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.
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.
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
Each sequence folder contains 4 annotation files and 1 meta file. A brief description of these files follows (let N denotes sequence length):
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.
Download baseline tracking results and performance reports of 25 public entries on GOT-10k from the following links:
Please cite this paper if you use the code or datasets: