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
Resources
Resource Library
Blog
Events
Open Datasets
Interviews
Documentation
Guides
Customers
Pricing
Conference
AI Readiness Report 2022
Company
Image
The comprehensive annotation platform for images.
Use Cases
Computer Vision
Object Detection
Locate and precisely identify objects of various classes.
• Autonomous Vehicles and ADAS
• Product Identification
• Damage and Defect Detection
• Health Diagnostics
Classification
Classify images according to their visual contents.
• Search and Ad Relevance
• Recommendation Systems
• Precision Agrigulture
• Policy Enforcement
Text Recognition
Identify and extract structured text from images.
• License Plate Identification
• ID Verification
• Product Cataloging
How it works
Easy to Start, Optimize and Scale
Bounding Box
Classification
Cuboid
Lines & Splines
Point
Polygon
Segmentation
Transcription
Draw a box around each rooftop and pool.
1client.createAnnotationTask({
2 callback_url: 'http://www.example.com/callback',
3 instruction: 'Draw a box around each rooftop and pool.',
4 attachment: 'http://i.imgur.com/XOJbalC.jpg',
5 objects_to_annotate: ['pool', 'rooftop'],
6 with_labels: true,
7 min_width: 30,
8 min_height: 30
9}, (err, task) => {
10 // do something with task
11});Run Extraction
ML-Powered Data Labeling
Machine learning powered pre-labeling and active tooling such as superpixel segmentation as well as ML-based quality checks accurately annotate large volumes of images efficiently and at high quality.
Automated Quality Pipeline
Have confidence in the quality of annotated data. Quality assurance systems built into the product monitor and prevent errors. Confidence scores trigger varying levels and types of human review.
Comprehensive Label Support
Specify geometries for different classes (e.g. boxes for people, polygons for furniture, ellipses for plates). Enhance object detection by combining different geometries in a singular task.
Operational Excellence
Taxonomy changes can be implemented rapidly via automated personalized training and evaluation for flexibility on quality and annotation requirements.
Data Input Flexibility
Submit images to the platform regardless of file format (e.g. jpg, tiff, png). Scale Image even supports annotations for fish-eye or extra-wide panoramic images.
Configurable Tasks
Scale Image tasks are composable. Configure image tasks to dynamically generate a classification task with consensus if a target object is unknown.
“It was easy to get started with Scale AI because they had the platform and the people with the skillset to perform the annotation tasks we needed. While we’re much bigger now and could potentially handle the volume of annotation tasks, why would we want to? We believe we should leave data annotation to experts like Scale so we can focus on perfecting the retail shopping experience with regard to the use of AI.”
Virginia Puccio
Head of Data Operations, Standard Cognition
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
Image tasks submitted to the platform are first pre-labeled by our proprietary ML models, then manually annotated and reviewed by highly trained workers depending on heuristic and learned error detectors, ml model confidence scores, and other quality metrics.
The resulting accuracy is consistently higher than what a human or synthetic labeling approach can achieve independently.
