Improve dataset card: Add task category, tags, GitHub link, and sample usage

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by nielsr HF Staff - opened
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  1. README.md +35 -2
README.md CHANGED
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  license: bigscience-openrail-m
 
 
 
 
 
 
 
 
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  ---
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  # FastTracker Benchmark
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  ### A new benchmark dataset comprising diverse vehicle classes with frame-level tracking annotation introduced in paper: *FastTracker: Real-Time and Accurate Visual Tracking*: [arXiv 2508.14370](https://arxiv.org/abs/2508.14370).
 
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  _[Hamidreza Hashempoor](https://hamidreza-hashempoor.github.io/), Yu Dong Hwang_.
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  <div align="center">
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  <div align="center">
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- <img src="./fig/fasttrack_benchmark.jpg" width="40%" alt="MiroThinker" />
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  </div>
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@@ -62,6 +71,30 @@ Brief statistics and visualization of FastTracker benchmark and its comparison w
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  ---
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  ## Dataset Structure
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  primaryClass={cs.CV},
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  url={https://arxiv.org/abs/2508.14370},
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  }
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- ```
 
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  license: bigscience-openrail-m
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+ task_categories:
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+ - object-detection
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+ tags:
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+ - tracking
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+ - multi-object-tracking
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+ - vehicle-tracking
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+ - traffic
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+ - computer-vision
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  ---
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  # FastTracker Benchmark
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  ### A new benchmark dataset comprising diverse vehicle classes with frame-level tracking annotation introduced in paper: *FastTracker: Real-Time and Accurate Visual Tracking*: [arXiv 2508.14370](https://arxiv.org/abs/2508.14370).
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+ Code: [https://github.com/Hamidreza-Hashempoor/FastTracker](https://github.com/Hamidreza-Hashempoor/FastTracker)
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  _[Hamidreza Hashempoor](https://hamidreza-hashempoor.github.io/), Yu Dong Hwang_.
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  <div align="center">
 
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  <div align="center">
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+ <img src="https://huggingface.co/datasets/Hamidreza-Hashemp/FastTracker-Benchmark/resolve/main/fig/fasttrack_benchmark.jpg" width="40%" alt="MiroThinker" />
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  </div>
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  ---
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+ ## Sample Usage
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+ For detailed instructions on installation, data preparation, running tracking, evaluation, and demos, please refer to the [FastTracker GitHub repository](https://github.com/Hamidreza-Hashempoor/FastTracker).
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+ Here's a quick start for setting up the environment:
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+ ```bash
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+ cd <home>
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+ conda create --name FastTracker python=3.9
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+ conda activate FastTracker
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+ pip3 install -r requirements.txt # Ignore the errors
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+ python setup.py develop
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+ pip3 install cython
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+ conda install -c conda-forge pycocotools
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+ pip3 install cython_bbox
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+ ```
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+ And an example for running the tracker on MOT17 benchmark:
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+ ```bash
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+ bash run_mot17.sh
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+ ```
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+ ---
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  ## Dataset Structure
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  primaryClass={cs.CV},
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  url={https://arxiv.org/abs/2508.14370},
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  }
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+ ```