EgoSuite-Open100K: Explore Lightwheel MCAP Data in FiftyOne
Blog post from Voxel51
EgoSuite-Open100K is Lightwheel’s open egocentric human dataset, containing 100,000 hours of annotated recordings across more than 15,000 tasks and environments, captured by operators using devices such as VR headsets, smart glasses, and exoskeletons. Each episode is stored as a self-describing MCAP file that synchronizes stereo first-person video, full-body and hand-pose data, depth information, and action segments. The post describes how Voxel51’s FiftyOne platform can ingest these files directly, decode embedded Protobuf schemas without external .proto files, SDKs, ROS, or Foxglove, and present all modalities on a shared timeline. FiftyOne can also derive modality indicators from file schemas, convert action annotations into searchable temporal labels, and generate motion-similarity embeddings that group recordings by movement patterns. Lightwheel positions EgoSuite as part of a broader physical-AI data engine alongside simulation-ready assets and robot evaluation tools, while the accompanying notebook demonstrates a workflow for selecting, exploring, filtering, and curating a diverse subset of episodes for robotics research and training.
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