--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards viewer: false --- # Dataset Card for LaSOT-ext ## Dataset Description - **Homepage:** [LaSOT homepage](http://vision.cs.stonybrook.edu/~lasot/) - **Paper:** [LaSOT: A High-quality Large-scale Single Object Tracking Benchmark](https://arxiv.org/abs/2009.03465) - **Point of Contact:** [Heng Fan](heng.fan@unt.edu) ### Dataset Summary **La**rge-scale **S**ingle **O**bject **T**racking (**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 **LaSOText**), published on IJCV ([LaSOT: A High-quality Large-scale Single Object Tracking Benchmark](https://arxiv.org/abs/2009.03465)). For the training/testing splits of LaSOT (conference version), visit this [repo](https://huggingface.co/datasets/l-lt/LaSOT). ## Download You can download the whole dataset using Git (with Git LFS): ```bash git clone https://huggingface.co/datasets/l-lt/LaSOT-ext ``` Alternatively, download the videos of a specific category manually from this [page](https://huggingface.co/datasets/l-lt/LaSOT-ext/tree/main). LaSOText can also be downloaded from: * In one zip file: [OneDrive](https://1drv.ms/u/s!Akt_zO4y_u6DgoQrvo5h48AC15l67A?e=Zo6PWx) or [Homepage server](http://vision.cs.stonybrook.edu/~lasot/data/LaSOT_extension_subset.zip) * One zip file per category: [OneDrive](https://1drv.ms/f/s!Akt_zO4y_u6DgoQZH_aGsNh2f6x6Dg?e=sldyAx) ### Unzip Unzip all zip files and organize the paths as follows: ``` ├── atv │ ├── atv-1 │ ... ├── badminton ... ``` ## Evaluation Metrics and Toolkit See the [homepage](http://vision.cs.stonybrook.edu/~lasot/results.html) for more information.