Annotation Types

Images, Videos or 3D LiDAR/RADAR

Scale supports a standard group of labels (pedestrians, cyclists, cars, etc.) but we are open to further customization for your particular use case.

Our Products

How it works

Sophisticated tooling and rigorous QA processes for a wide variety of self-driving 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.

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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.

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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 manager 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 driving data.

Super Human Quality

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 rigorous quality areas for each annotation.

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Driving innovation

Meet Our Customers

Trusted by world-class companies, we do all that we can to make our customers successful, and we love to share their stories.

“Scale has a team of very talented engineers who really understand the problems in training machine learning models, of data annotation, and of data quality.”

Oliver Cameron
COFOUNDER at Voyage

“One of the things we love about Scale is the fact that we can fully label the world [...] to understand as much as possible, including scenarios we don’t foresee today.”

Adrien Gaidon
Machine Learning Lead, Toyota Research

“Scale is basically providing the ground truth for our perception systems. It’s a very, very critical piece for us to develop.”

Anantha Kancherla
Head of self driving software at Lyft

“Scale’s outstanding agility, tooling, scalability and quality made them our preferred partner and the natural choice for the nuScenes project.”

Oscar Beijbom
MACHINE LEARNING LEAD at nuTonomy

“Scale is a critical part of our stack, providing both software & trained resources to label our LIDAR and camera data with extremely high quality. When the team comes to me with new projects, I’m always confident that Scale will meet our needs & timelines.”

Brandon Moak
CTO at Embark

“Scale makes it easy to focus on developing leading self-driving technology rather than the operations of labeling data. The Scale platform provides the technology and operations to power our machine learning development and is our trusted training data solution.”

Jack Guo
SOFTWARE ENGINEER at Nuro