Create README.md

README.md

@@ -0,0 +1,100 @@
+---
+task_categories:
+- token-classification
+language:
+- en
+tags:
+- automobile
+- sensor
+pretty_name: vot-rgbt
+size_categories:
+- 100M<n<1B
+---
+
+# 🚁 VOT-RGBT 2019 Challenge Dataset
+
+**Visual Object Tracking for RGB and Thermal Imagery**
+
+---
+
+## Dataset Summary
+
+The **VOT-RGBT 2019** dataset is part of the [Visual Object Tracking](http://www.votchallenge.net/) (VOT) initiative — a series of challenges that provide the computer vision community with standardized benchmarks for evaluating **short-term** and **long-term visual object trackers**. This particular edition focuses on **RGB-T (Visible + Thermal)** imagery, encouraging robust object tracking in challenging multimodal environments.
+
+---
+
+## Supported Tasks and Leaderboards
+
+- **📦 Visual Object Tracking (Short-Term & Long-Term)**
+  - Track object location across RGB and thermal frames
+  - Evaluate robustness to occlusion, illumination changes, and environmental conditions
+
+---
+
+## Dataset Structure
+
+- **Sequences**: 60+ sequences with aligned RGB and thermal imagery
+- **Annotations**: Per-frame ground truth bounding boxes in both modalities
+- **Modalities**: RGB, Thermal (LWIR)
+- **Frame Rate**: 20-30 FPS (varies by sequence)
+- **Resolution**: Varies by sensor and sequence (mostly HD and VGA)
+
+---
+
+## Usage
+
+To use the dataset:
+
+```python
+from datasets import load_dataset
+# This assumes dataset is hosted on Hugging Face datasets hub
+dataset = load_dataset("langutang/vot-rgbt2019")
+```
+
+Alternatively, you can download it from the [official VOT site](http://www.votchallenge.net/vot2019/).
+
+---
+
+## Evaluation Protocol
+
+VOT-RGBT 2019 uses the standard VOT evaluation protocol:
+
+- **Accuracy (A)**: Overlap between predicted and ground truth bounding boxes
+- **Robustness (R)**: Number of tracking failures
+- **Expected Average Overlap (EAO)**: Combines A and R for a unified score
+
+Both short-term and long-term tracker performance can be evaluated using the provided toolkit.
+
+---
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```
+@inproceedings{votrgbt2019,
+  title={RGB-Thermal Object Tracking: Benchmark and Baselines},
+  author={Liang, Jianan and Hu, Jiakai and Zhang, Yu and others},
+  booktitle={ECCV Workshops},
+  year={2019}
+}
+```
+
+---
+
+## License
+
+Please refer to the license and usage terms outlined on the official VOT website.
+
+---
+
+## Acknowledgements
+
+Thanks to the VOT committee and contributing authors for their continued efforts in pushing forward the field of visual object tracking.
+
+---
+
+## Tags
+
+`computer-vision`, `object-tracking`, `rgbt`, `thermal-imaging`, `vot`, `multimodal`, `benchmark`
+