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viewer: false |
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paperswithcode_id: lasot |
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# Dataset Card for LaSOT |
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## Dataset Description |
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- **Homepage:** [LaSOT homepage](http://vision.cs.stonybrook.edu/~lasot/) |
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- **Paper:** [LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking](https://arxiv.org/abs/1809.07845) |
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- **Point of Contact:** [Heng Fan]([email protected]) |
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### Dataset Summary |
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**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. |
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This repositoy contains the conference version of LaSOT, published on CVPR-19 ([LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking](https://arxiv.org/abs/1809.07845)). |
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**LaSOT** is featured in: |
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- **Large-scale**: 1,400 sequences with more than 3.5 millions frames |
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- **High-quality**: Manual annotation with careful inspection in each frame |
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- **Category balance**: 70 categories, each containing 20 sequences |
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- **Long-term tracking**: An average video length of around 2,500 frames (i.e., 83 seconds) |
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- **Comprehensive labeling**: Providing both visual and lingual annotation for each sequence |
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For the new subset (15 categories with 150 videos) in [extended journal version](https://arxiv.org/abs/2009.03465) (commonly referred to as LaSOT<sub>ext</sub>), visit this [repo](https://huggingface.co/datasets/l-lt/LaSOT-ext). |
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## Download |
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You can download the whole dataset using Git (with Git LFS): |
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```bash |
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git clone https://huggingface.co/datasets/l-lt/LaSOT |
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``` |
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Alternatively, download the videos of a specific category manually from this [page](https://huggingface.co/datasets/l-lt/LaSOT/tree/main). |
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LaSOT is also distributed through serval cloud storage services: |
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* In one zip file: [OneDrive](https://1drv.ms/u/s!Akt_zO4y_u6DgoQsxl9ixr5Y393qWA?e=7yTwjc) |
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* One zip file per category: [OneDrive](https://1drv.ms/f/s!Akt_zO4y_u6DgoNSoMJrfnVwveDjhA?e=PBeyuD) or [Baidu Pan](https://pan.baidu.com/s/1xFANiqkBHytE7stMOLUpLQ) |
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### Unzip |
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Unzip all zip files and the paths should be organized as following: |
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``` |
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├── airplane |
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│ ├── airplane-1 |
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│ ... |
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├── basketball |
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... |
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├── training_set.txt |
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└── testing_set.txt |
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``` |
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## Evaluation Metrics and Toolkit |
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See the [homepage](http://vision.cs.stonybrook.edu/~lasot/results.html) for more information. |
