High-Quality Data for Augmented and Virtual Reality

Efficiently Build the Most Immersive and Precise AR/VR Experiences.

Trusted by the world's most ambitious AI teams.Meet our customers

Use Cases

Augmented and Virtual Reality

Features section blurred background

Multimodal Data

  • Object Tracking

  • Audio Transcription

  • Event Detection

  • Semantic Linking

Dense Point Clouds

  • Unlimited-scale scenes

  • High-density point clouds <5mm

  • Sensor Fusion platform with support for all major sensors

  • Support for LiDAR semantic segmentation, cuboids, planes, and keypoints

3D Cuboids

  • Label objects in 3D space without LiDAR Data

  • Support for static and dynamic objects

  • Sensor Fusion support for all major camera types

What we do

Collection, Annotation, and Synthetic Data Generation for Augmented and Virtual Reality

It is challenging and expensive to collect, label, and manage the data that you need to improve your extended reality devices and applications. With Scale, you can stop worrying about data and focus on delivering high-quality augmented, virtual, or extended reality experiences to your customers.

Features section blurred background
lorem ipsum

CollectCollect High-Quality Data

Collect large volumes of high-quality real-world data

  • Well-trained global collector workforce

  • Diverse data types from egocentric videos to LiDAR full room scans

  • Automated duplicate detection, sensitive data recognition, and quality audit technology

LabelAnnotate Data at Scale

Quickly annotate large volumes of data at production quality

  • Support for a wide variety of annotation types including 3D cuboids, human keypoints, and dense point cloud segmentation

  • Industry-leading label quality at high volumes

  • Optimized with human-in-the-loop and ml-powered labeling tools

GenerateSynthetically Generated Data

Improve your datasets and optimize your model performance with Scale's Synthetic data

  • Generate unlimited amounts of high-quality, perfectly labeled data

  • Infinite varieties of diverse and representative synthetic human data

  • Realistically animated humans with full-body poses, gestures, and activities

EXPERTS

Expert Red Teamers

Scale has a diverse network of experts to perform the LLM evaluation and red teaming to identify risks.

How it Works

How We Provide High-Quality Data

Automatic Data Filtering

With automated duplicate and sensitive data detection and removal, you get only the data you need for model performance improvement.

Ensure High-Quality Labels

Automated and human-in-the-loop quality review processes for the highest quality labels.

Human-Centric

Real-world and synthetic data of humans from egocentric viewpoints, interacting with household objects and performing a wide variety of activities.

Manage Bias and Enable Privacy

Advanced tools and best practice methodologies enable privacy and diversity in your real-world and synthetic datasets.

Automatic Data Filtering

With automated duplicate and sensitive data detection and removal, you get only the data you need for model performance improvement.

Ensure High-Quality Labels

Automated and human-in-the-loop quality review processes for the highest quality labels.

Human-Centric

Real-world and synthetic data of humans from egocentric viewpoints, interacting with household objects and performing a wide variety of activities.

Manage Bias and Enable Privacy

Advanced tools and best practice methodologies enable privacy and diversity in your real-world and synthetic datasets.

High-Quality Data

Get the Data You Need for Your AR/VR Applications

Egocentric real-world data with nearly perfect labels for improved model performance.

Features section blurred background
lorem ipsum

Dense Point Cloud Segmentation

Base Phase

3D Static and Dynamic Cuboids

Keypoints

Multi-lingual Data Collection and Transcription

Face and Eye Tracking

QUALITY ASSURANCE

Best-In-Class Quality

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

Custom Curriculums and Student Tutors

Autonomous Robotics 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.

CUSTOMERS

Trusted by World Class Companies

Autonomous Robotics is trusted by leading machine learning teams to develop more accurate models.

Since starting our partnership with Scale, our data annotation needs have evolved and changed multiple times. The team at Scale has done an excellent job responding to increases in volume and refinement to our annotation rules.

Jonathan Hirokawa

Data Engineer, Sea Machine Robotics

At Pickle Robot, our vision systems must maintain high performance across environments with widely varying box configurations and changing lighting conditions. Scale Validate helps us rapidly iterate with confidence that new models never dip below metric thresholds.

Ariana Eisenstein

Chief Technology Officer, Pickle Robot

Before we started working with Scale Rapid, we were annotating data in-house. We didn’t have the infrastructure to complete thousands of annotations quickly, so we needed to find a scalable approach for data annotation. With Scale Rapid, we can request annotations and get results within 24 to 48 hours.

Yi Li

Head of Computer Vision, Ambi Robotics


Get started today!