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Dataset Card for LaSOT-ext

Dataset Description

Homepage: LaSOT homepage
Paper: LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Point of Contact: Heng Fan

Dataset Summary

Large-scale Single Object Tracking (LaSOT) aims to provide a dedicated platform for training data-hungry deep trackers as well as assessing long-term tracking performance.

This repositoy contains the new subset provided in the journal version of LaSOT (commonly called LaSOT_ext), published on IJCV (LaSOT: A High-quality Large-scale Single Object Tracking Benchmark).

For the training/testing splits of LaSOT (conference version), visit this repo.

Download

You can download the whole dataset using Git (with Git LFS):

git clone https://huggingface.co/datasets/l-lt/LaSOT-ext

Alternatively, download the videos of a specific category manually from this page.

LaSOT_ext can also be downloaded from:

In one zip file: OneDrive or Homepage server
One zip file per category: OneDrive

Unzip

Unzip all zip files and organize the paths as follows:

├── atv
│   ├── atv-1
│   ...
├── badminton
...

Evaluation Metrics and Toolkit

See the homepage for more information.