Build VLA models forRobotics

FiftyOne provides a unified platform for working with time-series multimodal data. Unify visualization, best-in-class data curation, and annotation to power your robotics data flywheel.

Benefits

Why robotics teams choose FiftyOne

From demonstration collection to failure mode mining, FiftyOne helps robotics teams build datasets that drive better models.

Collect higher-value demonstrations

Real-world robot data is expensive to collect. FiftyOne identifies coverage gaps, curate the most valuable demonstrations, and build datasets that improve VLA generalization without endlessly scaling teleoperation.

Understand complex robot behavior across every sensor stream

Robots generate massive multimodal datasets across cameras, LiDAR, actions, and telemetry. Play back time-series trajectories to inspect behavior and understand what happened.

Turn failures into better training data

Robot failures are rarely isolated events. FiftyOne makes it easy to search across trajectories and sensor streams to find similar failure cases, understand root causes, and curate targeted data for the next model iteration.

FiftyOne Features

Get native support for multimodal time-series data

Leaders and innovators in robotics rely on FiftyOne to boost data quality and model performance across computer vision use cases crucial to robotics solutions.
Query massive datasets by metadata, temporal events, and annotation labels.
Compute and visualize embeddings across sensor data to find visually similar samples beyond keyword label matches.
Tag arbitrary time intervals to curate data for investigation.
Camera streams, LiDAR point clouds, and numeric sensors play back in sync on a single, shared timeline.
Labels exist as tracks over time. Scrub the timeline to see exactly when an object appears or an event occurs across the full scene.
Query massive datasets by metadata, temporal events, and annotation labels.
Compute and visualize embeddings across sensor data to find visually similar samples beyond keyword label matches.
Tag arbitrary time intervals to curate data for investigation.
Camera streams, LiDAR point clouds, and numeric sensors play back in sync on a single, shared timeline.
Labels exist as tracks over time. Scrub the timeline to see exactly when an object appears or an event occurs across the full scene.

Robotics use cases

FiftyOne supports the full robotics data lifecycle

Curate, label, and visualize the data that trains physical AI models.
  • Manipulation & grasping
  • Humanoid & bimanual control
  • Teleoperation data curation
  • Cross-embodiment generalization
  • Object detection & recognition
  • Visual inspection & quality control
  • Autonomous navigation
  • Warehouse & mobile manipulation

Customers

Teams building with FiftyOne

Computer Vision and Robotics Resources

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Build robots that can see, act, and think with confidence

Talk to our computer vision experts to start building better robotics datasets and models.