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langutang/shire-vehicle-categories

🤖 ShIRE Dataset: 6D Pose Trajectories of Independently Moving Objects The ShIRE Dataset is the official reference implementation of the method introduced in the paper: ShIRE: Real-Time 6D Pose Tracking of Independently Moving Objects Presented at VISAPP 2021 📝 Overview ShIRE (Short for Shape-aware Independent Real-time Estimation) is a method for real-time detection and 6D pose trajectory estimation of independently moving objects in dynamic environments.… See the full description on the dataset page: https://huggingface.co/datasets/langutang/shire-vehicle-categories.

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Dataset Card

🤖 ShIRE Dataset: 6D Pose Trajectories of Independently Moving Objects

![VISAPP2021](https://www.scitepress.org/Link.aspx?doi=10.5220/0010254001890196)

The ShIRE Dataset is the official reference implementation of the method introduced in the paper:

ShIRE: Real-Time 6D Pose Tracking of Independently Moving Objects Presented at VISAPP 2021

📝 Overview

ShIRE (Short for Shape-aware Independent Real-time Estimation) is a method for real-time detection and 6D pose trajectory estimation of independently moving objects in dynamic environments.

This dataset accompanies the ShIRE method and is intended to support research and development in:

—6D object pose estimation
—Multi-object tracking
—Real-time scene understanding
—Robotics and AR/VR applications

📂 Dataset Structure

The dataset consists of RGB-D video sequences, ground-truth 6D pose annotations, and object segmentation masks for multiple independently moving objects.

shire/
├── sequences/
│   ├── seq01/
│   │   ├── rgb/
│   │   ├── depth/
│   │   ├── poses/
│   │   └── masks/
│   └── ...
├── calibration/
└── metadata.json

⚙️ Use with Hugging Face Datasets

You can load the ShIRE dataset directly via datasets.load_dataset:

python

from datasets import load_dataset

dataset = load_dataset("your-username/shire")

📖 Citation

If you use the ShIRE dataset or method in your research, please cite:

@inproceedings{Reiss2021ShIRE,
  author    = {Simon Reiss and Jörg Stückler},
  title     = {ShIRE: Real-Time 6D Pose Tracking of Independently Moving Objects},
  booktitle = {Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP},
  year      = {2021},
  pages     = {189-196},
  publisher = {INSTICC},
  doi       = {10.5220/0010254001890196}
}

🧠 More Information

—📄 VISAPP 2021 Paper
—🔧 Reference implementation coming soon to Hugging Face Spaces
—📬 For questions or collaborations, contact the original authors or open an issue in the repo

🛠 License

This dataset is provided for all use. Please review the license included in the dataset files.