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README.md

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+---
+# 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
+paperswithcode_id: lasot
+---
+
+# Dataset Card for LaSOT
+
+## Dataset Description
+
+- **Homepage:** [LaSOT homepage](http://vision.cs.stonybrook.edu/~lasot/)
+- **Paper:** [LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking](https://arxiv.org/abs/1809.07845)
+- **Point of Contact:** [Heng Fan]([email protected])
+
+### 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 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)).
+
+**LaSOT** is featured in:
+
+- **Large-scale**: 1,400 sequences with more than 3.5 millions frames
+- **High-quality**: Manual annotation with careful inspection in each frame
+- **Category balance**: 70 categories, each containing 20 sequences
+- **Long-term tracking**: An average video length of around 2,500 frames (i.e., 83 seconds)
+- **Comprehensive labeling**: Providing both visual and lingual annotation for each sequence
+
+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).
+
+
+## Download
+
+You can download the whole dataset using Git (with Git LFS):
+
+```bash
+git clone https://huggingface.co/datasets/l-lt/LaSOT
+```
+
+Alternatively, download the videos of a specific category manually from this [page](https://huggingface.co/datasets/l-lt/LaSOT/tree/main).
+
+LaSOT is also distributed through serval cloud storage services:
+
+* In one zip file: [OneDrive](https://1drv.ms/u/s!Akt_zO4y_u6DgoQsxl9ixr5Y393qWA?e=7yTwjc)
+
+* 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)
+
+### Unzip
+
+Unzip all zip files and the paths should be organized as following:
+```
+├── airplane
+│   ├── airplane-1
+│   ...
+├── basketball
+...
+├── training_set.txt
+└── testing_set.txt
+```
+
+## Evaluation Metrics and Toolkit
+
+See the [homepage](http://vision.cs.stonybrook.edu/~lasot/results.html) for more information.