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Closing the gender data gap in AI

What is the gender data gap in artificial intelligence (AI) and what can companies do to ensure more inclusive AI data practices? Discover key insights and learnings.

Hundreds of brightly colored lines on a black background. On the left of the image the colored lines are mixed together. In the middle of the image you can see the lines twisting and beginning to sort themselves into specific colors. On the right of the image, all lines are grouped together by color.

AI Data

Automation: The antidote to overcoming data labeling inefficiencies

Learn how machine learning assisted automation speeds up data labeling and improves dataset accuracies for computer vision teams.

A variety of men and women walking up a set of stairs in a public space. Each man has a yellow bounding box around them, with the label "Male" and each woman has a blue bounding box around them, with the label "Female."

AI Data

A guide to building training data for computer vision models

Explore what is involved in the collection and labeling of training data that is used to build computer vision models.

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AI Data

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.

AI Data Automotive

Video annotation for computer vision

Video annotation enriches video data by adding object information tags across every frame. Discover different video annotations, their popular computer vision applications and the benefits of video labeling automation.

A city street which includes tall buildings, cars, streetlights and pedestrians. Each object is colored differently to represent instance segmentation for autonomous vehicles.

AI Data

Your complete guide to image segmentation

Discover a robust guide to image segmentation, a data labeling technique used to segment object pixels to train computer vision models

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AI Data

A realistic decision framework for your data labeling strategy

Learn more about the myths surrounding data labeling workflows and budgets in order to build effective labeling strategies for machine learning.

Case Study

AI Data Automotive

Computer vision annotation to support autonomous driving systems

Learn how TELUS Digital helped a leading European automotive machine learning team build high-quality datasets to power computer vision innovations at scale.