What is LightLayer?
LightLayer Richly Annotated, High-Fidelity Egocentric Training Data at Scale provides scalable, richly annotated egocentric training datasets for RGB video, audio, IMU, and depth sensors.
It coordinates and trains a distributed network of data capturers to meet specific collection requirements and capture protocols.
Automated data collection workflows reduce manual steps and centralize metadata and dataset management.
Annotation pipelines streamline labeling and produce delivery-ready datasets for researchers, roboticists, and startups focused on embodied AI and humanoids.
Supports delivery of synchronized RGB, audio, IMU, and depth streams optimized for training egocentric models and robotic perception systems.
Scalable, targeted capture enables teams to collect task-specific egocentric datasets at required volume and diversity.
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LightLayer's key features
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Orchestrates a large distributed network of data capturers
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Automated data collection
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Multi-modal egocentric capture (RGB video, audio, IMU, depth)
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Richly annotated datasets
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High-fidelity egocentric data capture
LightLayer use cases
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Train robust embodied-robot perception and navigation models using LightLayer's delivery-ready synchronized RGB, depth, audio, and IMU egocentric datasets, eliminating manual sensor alignment and accelerating model development and benchmarking
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Collect and curate task-specific datasets (e.g., household manipulation, industrial pick-and-place) by coordinating distributed capture workflows with LightLayer's automated synchronization and annotation pipelines to scale data collection while ensuring consistent, high-quality labels
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Develop multimodal activity recognition and assistive wearable applications by leveraging LightLayer's richly annotated egocentric streams for end-to-end training of audio-visual-inertial models for real-time intent prediction, localization, and interaction understanding
Who is it for?
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Ai researchers
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Robotics engineers
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Data scientists
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Machine learning engineers
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Computer vision researchers
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Perception system developers
