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.
Virginia Puccio
Head of Data Operations, Standard Cognition
Image
The comprehensive annotation platform for images.
Use CasesComputer Vision
Develop highly accurate perception models to locate and identify objects of various classes, classify entire images, extract structured text from images, and more. Scale Image supports a range of use cases from autonomous vehicles to robotics to retail.
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 WorksEasy to Start, Optimize and Scale
Build models you can trust while maximizing operational efficiency and reducing the cost of ML projects.
Bounding Box
Classification
Cuboid
Lines & Splines
Point
Polygon
Segmentation
Transcription
"Draw a box around each rooftop and pool."
client.createAnnotationTask({
callback_url: 'http://www.example.com/callback',
instruction: 'Draw a box around each rooftop and pool.',
attachment: 'http://i.imgur.com/XOJbalC.jpg',
objects_to_annotate: ['pool', 'rooftop'],
with_labels: true,
min_width: 30,
min_height: 30
}, (err, task) => {
// do something with task
});
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.
Enterprise ReadyCustom Annual Plans and SLAs
Get started today with on-demand, 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 and down to meet your requirements.
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 AssuranceBest-In-Class Quality Choice
ML-accelerated, human-in-the-loop data annotation for rapid turnaround and industry-leading 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.
CustomersTrusted by World Class Companies
Scale Image is trusted by leading machine learning teams to develop more accurate models.
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