Guaranteed Task Completion Time
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
Products
Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale CatalogCreate, enrich, and enhance eCommerce data.
Scale Enterprise AIModels to support your business use cases.
Scale NucleusThe mission control for your data
Scale LaunchShip and track your models in production
Scale Document AITemplate-free ML document processing
Scale Content UnderstandingManage content for better user experiences
Scale InstantMLNext-day machine learning models, without ML expertise
Scale SpellbookThe platform for large language model apps
Scale SyntheticGenerate synthetic data
Solutions
Retail & eCommerce
Defense
Logistics
Autonomous Vehicles
Robotics
AR/VR
Document Processing
Content & Language
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Resource Library
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AI Readiness Report 2022
Company
3D Sensor Fusion
The advanced annotation platform for 3D sensor data.
Cuboid
Segmentation
Use Cases
Computer Vision
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.
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).
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.
How it works
Easy to Start, Optimize and Scale
Cuboid
Segmentation
Label all cars, pedestrians, and cyclists in each frame.
1client.createLidarAnnotationTask({
2 instruction: 'Label all cars, pedestrians, and cyclists in each frame.',
3 labels: ['car', 'pedestrian', 'cyclist'],
4 meters_per_unit: 2.3,
5 max_distance_meters: 30
6}, (err, task) => {
7 // do something with task
8});Run Extraction
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.
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.
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).
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.
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.
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.
“We really value our partnership with Scale and their ability to deliver custom workflows that suit our needs across a variety of mapping and deep learning models. Scale's high-quality, rapidly labeled data will enable us to ramp our map expansion, allowing us to provide more service to customers like Dominos.”
Eleonor Concepcion
Software Operations Program Manager, Nuro
Enterprise Ready
Custom Annual Plans and SLAs
24/7 Development Support
Each enterprise customer is paired with a dedicated engagement manager who will ensure smooth on-boarding and continued data delivery.
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.
Quality Assurance
Best-In-Class 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.
Customers
Trusted by World Class Companies
“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, Embark
“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, Voyage