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sanskxr02/Fidelity-IMU-1h

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face

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Model Card

Fidelity-IMU-1h

Type: Egocentric, sensor-rich manipulation dataset Duration: ~1 hour Description: This dataset contains everyday manipulation trajectories (doing dishes) enriched with inferred egocentric inertial signals (accelerometer + gyroscope). All data is derived from monocular video using our egocentric enrichment pipeline.

Intended use: Robotics research, egocentric learning, embodied AI experiments.

Data format:

—Images / frames
—Camera poses
—Human joints
—Inferred IMU signals
—Object states and kinematics

Source: Monocular video processed by Fidelity’s egocentric enrichment pipeline.

License: Apache-2.0