Fractal

Data labeling
for computer vision

Label images and videos and take full control of your training data.
Power your computer vision algorithm with datasets of any size.

  • Fastest Time-to-Result

    Reduce time to labeled data from days to minutes with the largest global crowd available 24/7.

  • High Quality

    Place your confidence in state-of-the-art technologies for superb data accuracy at scale.

  • True Scalability

    Unlock scalability with versatile features, a highload system, and easy integration into ML pipelines.

  • Cost-efficiency

    Pay as you go and stay under budget with significant cost savings at scale and no data minimums.

Annotations we support

With Toloka, you can control data labeling accuracy to build a predictable pipeline of high-quality training data that impacts your CV algorithms. Our platform supports annotation for image classification, semantic segmentation, object detection and recognition, and instance segmentation. Labeling tools include bounding boxes, polygons and keypoint annotation.

View Toloka Demo

Access demo and see Toloka in action. Toloka offers flexible project configuration: use our presets for a faster start, or take full control to customize your projects for the most complex labeling needs. Options include adaptive tools and automation to develop a robust data pipeline that evolves with you. Hands on or hands off — it's up to you.

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Real-time insights

Track your projects with real-time statistics on progress, spending, quality, time spent on tasks and active users involved. Leverage detailed analytics to fine-tune as necessary and make timely decisions to optimize speed, quality and budget.

Have a data labeling project?

Take advantage of Toloka technologies. Chat with our expert to learn how to get reliable training data for machine learning at any scale.

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Fractal