Datasets:
Tasks:
Object Detection
Formats:
text
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
Multi-object-tracking
License:
Improve dataset card: Add task category, tags, GitHub link, and sample usage
Browse filesThis PR updates the dataset card for `FastTracker Benchmark` to improve its discoverability and usability.
Key changes include:
- Added `task_categories: object-detection` and relevant `tags` (`tracking`, `multi-object-tracking`, `vehicle-tracking`, `traffic`, `computer-vision`) to the metadata.
- Included a direct link to the associated GitHub repository for easy access to the code and detailed instructions.
- Added a "Sample Usage" section to guide users on how to get started with the dataset and its associated framework.
- Corrected the relative image path to an absolute Hugging Face Hub URL to ensure the image renders correctly.
README.md
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---
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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="
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</div>
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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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```
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