3D Sensor Fusion

The advanced annotation platform for 3D sensor data.

illustration of shapesUse Cases

Computer Vision

Develop highly accurate perception models to locate and identify various objects, understand relationships between objects, predict behavior and more. Scale 3D Sensor Fusion supports a range of use cases from autonomous vehicles to robotics to AR/VR.

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    Detection & Tracking

    Develop 3D detection and tracking models with cuboid or segmentation annotation. The Dependent Tasks API can also be used to label some parts of tasks with cuboids (e.g. vehicles) and others with segmentation (e.g. vegetation) to leverage the benefits of both annotation types.

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    Prediction & Planning

    Develop prediction and planning models using attributes. Cuboid attributes for behavior and intent include gaze detection and turn signals. We also offer linked instance IDs describing the same object for long tasks, and linking of related objects (e.g. a vehicle and trailer).

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    Lane & Boundary Detection

    Estimate the geometric structure of lanes and boundaries by using 3D Sensor Fusion segmentation annotation with intensity as an optional input parameter for greater accuracy. Talk To Us if you need line & spline or polygon annotation in 3D.

illustration of shapesHow It Works

Easy to Start, Optimize and Scale

Build models you can trust while maximizing operational efficiency and reducing the cost of ML projects.

"Label all cars, pedestrians, and cyclists in each frame."

client.createLidarAnnotationTask({
  instruction: 'Label all cars, pedestrians, and cyclists in each frame.',
  labels: ['car', 'pedestrian', 'cyclist'],
  meters_per_unit: 2.3,
  max_distance_meters: 30
}, (err, task) => {
    // do something with task
});
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    ML-Powered Data Labeling

    Receive large volumes of high-quality training data. Machine learning-powered pre-labeling and active tooling such as object tracking and automatic error detection ensures high quality at large volumes.

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    Automated Quality Pipeline

    Have confidence in the quality of data. Quality assurance systems monitor and prevent errors, and varying levels of human review and consensus are provided according to customer requirements.

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    Sensor Agnostic

    Confidently experiment with and deploy different sensors for 3D perception. Scale 3D Sensor Fusion supports all major sensors (LiDAR and RADAR) as well as different types of cameras (e.g. fisheye or panoramic).

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    Comprehensive Label Support

    Combine different annotation types in a singular task with the Dependent Tasks API. Label some objects with cuboids (e.g. vehicles) and others (e.g. vegetation) with segmentation to enhance object detection.

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    Infinitely Long Tasks (Beta)

    Annotate longer 3D scenes. An advanced stitching algorithm means no limit on scene length and linked instance IDs enables tracking accuracy even for objects that leave the scene for periods of time.

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    Attributes Support

    Gather metadata on annotated objects to understand correlations between objects (e.g. vehicle and trailer) and develop prediction and planning models. Attributes for intent include gaze detection and turn signals.

illustration of a cityEnterprise Ready

Custom Annual Plans and SLAs

Get started today with on-demand, or chat with us about an enterprise plan.

  • Guaranteed Task Completion Time

    Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.

  • 24/7 Development Support

    Each enterprise customer is paired with a dedicated engagement manager who will ensure smooth on-boarding and continued data delivery.

    Slack chat service
  • Cost Effective

    Enterprise engagements provide upfront and volume-based discounts, and is the most cost-effective solution for high-quality labels. Plus with Scale AI, there are no platform fees.

illustration of shapesQuality Assurance

Best-In-Class Quality Choice

ML-accelerated, human-in-the-loop data annotation for industry-leading quality.

Super Human Quality

3D Sensor Fusion tasks submitted to the platform are first pre-labeled by our proprietary ML-model, then manually reviewed by highly trained workers depending on the ML model confidence scores. All tasks receive additional layers of both human and ML-driven checks.

The resulting accuracy is consistently higher than what a human or synthetic labeling approach can achieve independently.

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Trusted by World Class Companies

Scale 3D Sensor Fusion is trusted by leading machine learning teams to develop more accurate models.

Get Labeled Data Today