Data Annotation

  1. Insights
  2. AI Data
  3. Data Annotation
  1. Vehicles driving on a highway surrounded by circular illustrations to convey advanced driver assistance system features.
    Case Study
    Data Annotation

    Training future-ready perception models with a highly-skilled automotive annotation workforce

    Discover how TELUS Digital successfully delivered a large-scale 2D and 3D annotation project for training and validating a client’s perception model in the automotive industry.

  2. Visualization of the interaction of self-driving autonomous vehicles.
    Case Study
    Data Annotation

    Enhancing an autonomous vehicle bot’s scenario understanding with tailored fine-tuning datasets

    Discover how TELUS Digital assisted a leading U.S. autonomous vehicle (AV) developer in refining the scenario comprehension and motion planning capabilities of their AV bot.

  3. Data Annotation

    Everest Group Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024

    Discover why TELUS Digital has been named a Leader in Everest Group's Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024.

    Research & Reports
  4. An aerial shot of a city street with various cars and other vehicles.
    Case Study
    Data Annotation

    Collecting in-field driving data to train a leading insurance provider’s rewards application

    TELUS Digital successfully collected and labeled complex telematics to help advance a client’s safe-driving rewards application program.

  5. Purple digitalized waves on black background.
    Case Study
    Data Annotation

    Meeting the complex data annotation requirements of a unique non-profit organization

    TELUS Digital completed a secure, in-facility annotation project for Thorn, a non-profit organization dedicated to protecting children.

  6. Research & Reports
    Data Annotation

    IDC MarketScape: Worldwide Data Labeling Software 2023 Vendor Assessment

    This global assessment evaluates vendors offering data labeling software technologies and capabilities.

  7. Data visualization meant to convey key metrics in data annotation
    Data Annotation

    Four key metrics for ensuring data annotation accuracy

    High-quality data annotation is critical to the performance of your AI model. Here are four key metrics to consider for measuring annotation accuracy.

  8. Visualization meant to symbolize data classification
    Data Annotation

    What is data classification?

    AI data demands classification to be useful at scale. Learn the benefits, challenges and best practices of data classification.

  9. Illustration of a mountain made up of data that's topped with a flag
    Data Annotation

    Five common data annotation challenges and how to solve them

    Data annotation can create bottlenecks in AI and machine learning projects. Learn how to improve data quality and overcome data annotation challenges.

  10. Illustration of various technology and icons meant to symbolize machine learning
    Data Annotation

    Data labeling fundamentals for machine learning

    Machine learning demands massive amounts of clean, structured, labeled data. Learn the fundamentals of data labeling for successful AI training.

  11. Robotic hand interacting with an interface meant to represent artificial intelligence
    Data Annotation

    The contemporary trifecta of data-centric AI

    Data-centric AI is driving the success of current machine learning initiatives. Learn about the leading role of data in the AI lifecycle and the three key factors powering the data-centric approach.

  12. A large checkmark overlaid on binary code.
    Data Annotation

    The ultimate checklist for outsourcing your data labeling pipeline

    Choosing a data annotation partner is one of the most crucial decisions machine learning teams can make because it directly affects their go-to-market strategy. Crucial decisions call for careful planning. Explore our checklist to help you find the right AI data solutions partner.

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