Training Data for AR & VR

Annotation Types

Images, Videos or 3D Cuboids

Scale generates high quality datasets for all data labeling needs.

Our Products

How it works

Sophisticated tooling and rigorous QA processes for a wide variety of AR/VR use cases. Simply send requests to our REST API for impeccable training data.

"Please label all cars, pedestrians, and cyclists in each frame."

client.createLidarAnnotationTask({
  'instruction': 'Please 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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Impeccable Quality

We have built out sophisticated quality assurance processes with in-house specialists to ensure we only produce quality results even at large scales.

Integrated with Machine Learning

We apply machine learning in a multitude of ways to make our workforce more efficient and ensure impeccable quality and accuracy.

Built For Scale

We process millions of images a month and are built to rapidly scale up and down to meet your requirements.

Platform Features

A Comprehensive Set of Tools

Built by machine learning engineers for machine learning engineers, our rich set of tools can handle a wide range of labeling requirements.

Enterprise ready

Custom Annual Plans and SLAs

Pay on-demand per task 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 or down to meet your needs.

24/7 Development Support

Each enterprise customer is paired with a dedicated customer success engineer who will ensure smooth integration and continued service.

Slack chat service

Cost Effective

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

Quality Assurance

Best-In-Class Quality Choice

Industry leading quality datasets safe-guarded against ever-changing, messy, real-life data.

Super Human Accuracy

Our tasks are annotated by trained and qualified workers with additional layers of both human, data and machine learning driven quality control checks.

The resulting accuracy is consistently much higher than what a human or synthetic labeling approach can achieve independently, as measured against seven rigorous quality areas for each annotation.

Scale's dashboard
Another view of Scale's dashboard
Driving innovation

Meet Our Customers

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