5K+ Hours Stereo IMU Egocentric Dataset
Computer Vision & Video Datasets
Tags and Keywords
$135,700
About
5K+ Hours Stereo IMU Egocentric Dataset
A multimodal Stereo IMU Egocentric Video Dataset combining synchronized stereo video with inertial measurement unit (IMU) sensor data for research and development in computer vision, robotics, spatial computing, and multimodal AI. The dataset captures first-person visual and motion information, enabling models to learn relationships between stereo imagery, camera motion, and inertial signals for applications such as visual-inertial odometry, 3D perception, egomotion estimation, human activity understanding, and autonomous systems.
Note: Pricing varies depending on several factors, including the total video hours, stereo video quality and resolution, IMU sampling rate and sensor specifications, synchronization and calibration metadata, number of recording sessions, metadata availability, annotation requirements, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| File Format | Video and sensor file formats (MP4 and CSV). |
| Stereo Video | Synchronized left- and right-camera video streams captured from a first-person perspective. |
| Video Duration | Total recording duration of each stereo video sample. |
| Frame Rate (FPS) | Number of video frames captured per second for the stereo video streams. |
| Camera Perspective | First-person (egocentric) view point captured from the sensing device. |
| Accelerometer Data | Three-axis linear acceleration measurements captured by the IMU. |
| Gyroscope Data | Three-axis angular velocity measurements captured by the IMU. |
| IMU Sampling Rate | Frequency at which inertial sensor measurements are recorded. |
| Environment Type | Type of environment captured in the egocentric recordings. |
Distribution
The dataset is distributed as multimodal files containing stereo video recordings and associated IMU data. Video data is provided in common video formats, with sensor measurements and metadata provided in structured formats as applicable.
- Data Volume: 5K+ Hours.
- Video Format: MP4
- Sensor Data Format: CSV
- Structure: Each sample contain stereo video streams together with corresponding IMU measurements.
- Modality: Video + Sensor/IMU Data.
- Perspective: Egocentric / first-person.
- Dataset Size: The dataset size may vary depending on video resolution, duration, frame rate, file formats, compression quality, metadata availability, annotations, and dataset version.
Usage
This data product is ideal for a variety of applications:
- Visual-Inertial Odometry: Develop and evaluate systems that estimate camera/device motion using visual and inertial signals.
- 3D Computer Vision: Support stereo depth estimation, 3D reconstruction, and spatial scene understanding.
- Robotics: Train perception and sensor-fusion systems for mobile and autonomous robots.
- Egocentric AI: Develop first-person perception and activity-understanding models.
- Sensor Fusion: Research multimodal models combining video and IMU measurements.
- Egomotion Estimation: Analyze device movement and camera trajectories from synchronized visual and inertial data.
- Augmented and Virtual Reality: Support spatial tracking and environment understanding for immersive applications.
- Multimodal AI: Train and evaluate models that learn relationships between visual observations and physical motion.
Coverage
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Geographic Coverage: Global.
-
Sensor Coverage: Stereo cameras and IMU sensors.
-
Scene Coverage: Real-world environments captured from a first-person perspective.
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
video_file | String | Path or filename of the stereo video recording. | Stereo video filename |
file_format | String | Format of the associated video or sensor data file. | MP4 and CSV |
left_video | String | Reference to the left-camera video stream. | Left-camera video reference |
right_video | String | Reference to the right-camera video stream. | Right-camera video reference |
imu_file | String | Path or filename of the associated IMU measurements. | Structured sensor-data file (CSV) |
accelerometer | Numeric Array | Linear acceleration measurements captured by the IMU. | X, Y, Z acceleration values |
gyroscope | Numeric Array | Angular velocity measurements captured by the IMU. | X, Y, Z angular velocity values |
video_format | String | Format of the associated video recording. | MP4 format |
imu_sampling_rate | Numeric | Frequency at which IMU measurements are recorded. | Hz; may vary by collection |
duration | Numeric | Duration of the recording. | Minutes or Hours |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
Additional Notes
The Stereo IMU Egocentric Video Dataset is designed for multimodal research where visual and inertial signals need to be analyzed jointly. Stereo video provides complementary viewpoints for depth and spatial perception, while IMU measurements provide high-frequency information about device motion. The combination can support robust perception systems for robotics, autonomous navigation, AR/VR, wearable computing, and next-generation multimodal AI.
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$135,700
Download Dataset in MULTIMODAL Format
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