| --- |
| license: cc-by-nc-nd-4.0 |
| task_categories: |
| - robotics |
| tags: |
| - Physical AI |
| - Robotics |
| - egocentric vision |
| - pose estimations |
| - hands motions |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Egocentric Dataset for Physical AI and Robotics |
| The dataset contains **4,050** hours of first-person videos for **egocentric vision** and **egocentric tracking**. Featuring multimodal data from egocentric views, it includes **data annotations** and **motion capture** for extracting **3d poses**. It provides detailed **3d objects and 3d scenes** using visual data from VR headsets to analyze **hands motions** and **pose estimations**. .- **[Get the data](https://unidata.pro/datasets/egocentric-video/?utm_source=hf-robotics&utm_medium=referral&utm_campaign=egocentric-video)** |
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| ## Dataset characteristics: |
| | Characteristic | Data | |
| |----------------|------| |
| | Description | Egocentric video recordings of daily activities in home environments | |
| | Data types | Video | |
| | Tasks | Hand Activity Recognition Egocentric Action Recognition Hand-Object Interaction | |
| | Hours of recordings | 4,050 | |
| | Hardware setups | 2 | |
| | Setup 1 (Pico + Motion Trackers) | 2,321 hours (57.3%) — natural speed, slow-motion, and real-speed object transferring | |
| | Setup 2 (Zed + Pico + Motion Trackers) | 1,729 hours (42.7%) — scripted object transfer tasks with spatial depth + egocentric view | |
| | Scenarios | 13 (sorting unsorted items, arranging products by category, collecting items into a container, transferring from drawer to table, wardrobe & table & bag, transport box & display table, folding fabric items, lids & cookware & drawers, transferring with a spoon, transferring with tongs, packing into containers, two-handed sorting, assembly & disassembly) | |
| | Environments | Kitchen, bathroom, living room, and other home settings | |
| | Activities | Sorting, transferring, folding, assembly/disassembly, tool use, two-handed manipulation | |
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| ### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/egocentric-video/?utm_source=hf-robotics&utm_medium=referral&utm_campaign=egocentric-video) to discuss purchase terms. |
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| ## Dataset structure |
| - Setup 1 (Pico + Motion Trackers): 2,321 hours (57.3%) — natural speed, slow-motion, and real-speed object transferring, with hands appearing as needed or always in frame for detailed kinematics. |
| - Setup 2 (Zed + Pico + Motion Trackers): 1,729 hours (42.7%) — scripted object transfer tasks combining spatial depth from stereo Zed cameras with egocentric view from Pico headset. |
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| ### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/egocentric-video/?utm_source=hf-roboticss&utm_medium=referral&utm_campaign=egocentric-video) |
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| ## Similar Datasets: |
| 1. [Robotic Household Activities Dataset](https://unidata.pro/datasets/robotic-household-activities/?utm_source=hf-robotics&utm_medium=referral&utm_campaign=egocentric-video) |
| 2. [Lerobot SO-101 Manipulations Dataset](https://unidata.pro/datasets/lerobot-so-101-manipulations/?utm_source=hf-robotics&utm_medium=referral&utm_campaign=egocentric-video) |
| 3. [Scene Scanning Video Dataset](https://unidata.pro/datasets/scene-scanning-video/?utm_source=hf-robotics&utm_medium=referral&utm_campaign=egocentric-video) |
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| ## 🌐 [UniData](https://unidata.pro/datasets/egocentric-video/?utm_source=hf-robotics&utm_medium=referral&utm_campaign=egocentric-video) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success. |
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