The robotics data platform for VLA models & perception
FiftyOne is the unified platform for time-series multimodal data. Bring visualization, best-in-class data curation, and annotation together to power your robotics data flywheel and train better models.
Benefits
Why robotics teams choose FiftyOne for perception and VLA data
From demonstration data collection to edge case detection, FiftyOne helps robotics teams build the multimodal datasets that drive better models.
Collect higher-value demonstration data
Real-world robot data is expensive to collect. FiftyOne identifies coverage gaps, curates the most valuable demonstrations, and builds datasets that improve VLA generalization without endlessly scaling teleoperation.
Visualize robot behavior across every sensor stream
Robots generate massive time-series multimodal data across cameras, LiDAR, actions, and telemetry. Play back 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
Native support for time-series multimodal data
Robotics teams building perception and VLA models rely on FiftyOne to boost data quality and model performance across the multimodal AI workflows at the core of physical AI.
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 powers the full robotics data lifecycle
Curate, annotate, and visualize the data that trains physical AI models.
- Manipulation & grasping
- Humanoid & bimanual control
- Teleoperation data curation
- Cross-embodiment generalization
- Vision-language-action (VLA) models
- Object detection & recognition
- Visual inspection & quality control
- Autonomous navigation
Customers
Teams building with FiftyOne
Maintained 99% fall detection rates for model performance.
Sped up investigations of robotic arms by 3x.
Maintained 99% fall detection rates for model performance.
Sped up investigations of robotic arms by 3x.
Computer Vision and Robotics Resources
Learn more about physical AI in robotics
Take a deeper dive into how VLA models are reshaping robotics, and how a unified data flywheel helps your team debug behavior, curate better data, and ship physical AI with confidence.
Turning physical AI development into a data flywheel
Explore why end-to-end and VLA models make data the key to understanding model behavior, why data curation is the real bottleneck in physical AI, and how FiftyOne unifies visualization, curation, and annotation into a single data flywheel.
Build robots that can see, act, and think with confidence
Talk to our AI experts to start building better robotics datasets and models.
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