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The comprehensive annotation platform for images.

  • airbnb
  • baidu
  • pinterest
  • samsung

Use Cases

Computer 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 works

Easy to Start, Optimize and Scale

Build models you can trust while maximizing operational efficiency and reducing the cost of ML projects.

Draw a box around each rooftop and pool.

2  callback_url: '',
3  instruction: 'Draw a box around each rooftop and pool.',
4  attachment: '',
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
Run Extraction
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    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.

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    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.

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    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.

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    Operational Excellence

    Taxonomy changes can be implemented rapidly via automated personalized training and evaluation for flexibility on quality and annotation requirements.

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    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.

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    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

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.

    Slack chat service
  • 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

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.

Scale's DashboardScale's Dashboard


Trusted by World Class Companies

Scale Image is trusted by leading machine learning teams to develop more accurate models.

  • brex
  • etsy
  • general-motors
  • flexport
  • instacart
  • blend
  • nvidia
  • openai
  • paypal
  • sap
  • square
  • toyota
  • airforce
  • usarmy
  • aurora
  • irobot
  • lyft
  • linkedin
  • nuro
  • pinterest
  • skydio
  • zoox

Get Started Today