| --- |
| pretty_name: Tracks |
| license: cc-by-4.0 |
| tags: |
| - computer-vision |
| - human-motion |
| - robotics |
| - trajectory |
| - pose-estimation |
| - navigation |
| - retail |
| task_categories: |
| - image-feature-extraction |
| - keypoint-detection |
| - object-detection |
| - image-segmentation |
| - reinforcement-learning |
| size_categories: |
| - 1M<n<100M |
| --- |
| |
| # Tracks Dataset |
| **Real Human Motion for Robotics Planning and Simulation** |
|
|
| **The ros2 docker container compiliation and visualization script instructions can be found here: https://huggingface.co/datasets/standard-cognition/Tracks/blob/main/keypoint-db/README.md** |
|
|
| **Sample data can be found here: download from: https://drive.google.com/file/d/1sf924lEBK2VLuBmHUzGXUakn6blwY9r2/view?usp=sharing** |
|
|
| **The layout can be downloaded from: https://drive.google.com/file/d/1--ahjbkuLuZfeaxluWScoGz78k58O9Mt/view?usp=sharing** |
|
|
| --- |
|
|
| ## Overview |
|
|
| <video src="https://huggingface.co/datasets/standard-cognition/Tracks/resolve/main/assets/visual.mp4" |
| autoplay |
| loop |
| muted |
| playsinline |
| style="width:100%;height:auto;border-radius:8px;"> |
| Your browser does not support the video tag. |
| </video> |
|
|
| The **Tracks Dataset** captures continuous, real-world human movement in retail environments, providing one of the largest and most structured pose-based trajectory corpora available for **robotics** and **embodied AI** research. |
| Each record represents **3D pose sequences** sampled at 10 Hz across normalized store coordinates, enabling research in motion planning, human-aware navigation, and humanoid gait learning derived directly from real behavior :contentReference[oaicite:0]{index=0}. |
|
|
| --- |
|
|
| ## Key Specifications |
|
|
| | Field | Description | |
| |:------|:-------------| |
| | **Source** | Anonymized in-store multi-camera captures (10 retail sites) | |
| | **Scope** | ≈ 60,000 hours of human trajectory data (plus 1-hour evaluation subset) | |
| | **Format** | CSV schema, ROS 2–compatible via playback plug-in | |
| | **Sampling Frequency** | 10 Hz (10 FPS) | |
| | **Pose Structure** | 26 keypoints per person per frame (3D coordinates) | |
| | **Environment** | Real retail environments with normalized floor layouts | |
| | **Evaluation Subset** | One-hour segment including trajectories + store layout | |
| | **Key Metrics** | ≈ 2.3 M unique shoppers | |
| | **Anonymization** | Face and body suppression; coordinate-only representation | |
| | **Governance** | Managed under Standard AI’s data governance policies aligned with GDPR/CCPA and Responsible AI principles | |
|
|
| --- |
|
|
| ## Integration & Applications |
|
|
| - Distributed in **CSV** with schema documentation and import notebooks. |
| - Ready for **ROS 2** integration for **path planning** and **human–robot interaction** simulation. |
| - Compatible with **Python**, **PyTorch**, and standard **reinforcement-learning** frameworks. |
|
|
| ### Example Research Uses |
| - Motion prediction and trajectory planning |
| - Reinforcement learning for humanoid gait and control |
| - Human-aware navigation and avoidance behavior |
| - Simulation of human–robot interaction environments |
|
|
| --- |
|
|
| ## Access |
|
|
| The **Tracks Dataset** is available now for evaluation and licensing. |
| - **Evaluation subset:** 1-hour sample under 30-day Evaluation Agreement (private Hugging Face repo). |
| - **Full dataset:** 60,000-hour commercial dataset available by request. |
|
|
| For inquiries or licensing: |
| ✉️ [labs@standard.ai](mailto:labs@standard.ai) |
|
|
| --- |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{standardlabs_tracks_2025, |
| title = {Tracks Dataset: Real Human Motion for Robotics Planning and Simulation}, |
| author = {Standard Labs}, |
| year = {2025}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/standard-labs/tracks} |
| } |
| |
