Dataset Card for LaSOT-ext

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

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

Download

You can download the whole dataset via the huggingface_hub library (guide):

from huggingface_hub import snapshot_download
snapshot_download(repo_id='l-lt/LaSOT-ext', repo_type='dataset', local_dir='/path/to/download')

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

LaSOT_ext can also be downloaded from:

As a single zip file: OneDrive or Homepage server
As one zip file per category: OneDrive

Setup

Unzip all zip files and organize the paths as follows:

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

Evaluation Metrics and Toolkit

See the homepage for more information.