Fractal

Video annotation

Collect, classify, or annotate video data on our industry-leading data labeling platform.

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Use cases

  • Computer vision
    • Face recognition
    • Surveillance
    • Detecting objects, actions, and emotions
  • E-commerce
    • Evaluating video reviews
    • Virtual fitting rooms
    • Search and ad relevance
  • Online content
    • Comparing videos for user preferences
    • Moderating video ads
    • Moderating user-generated videos

Flexible video annotation tools

Use our data labeling tools and templates to create high quality training data for computer vision models and more. Generate or annotate video footage for any type of project.

How video annotation works in Toloka

Hand your data labeling tasks over to our global crowd and get scalable human 
insights for your video data in over 40 languages.

  • Video labeling
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    Pick a project preset for video data that matches your use case. Or start from scratch and design your own template.

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    Choose the audience, quality control methods, and other options.

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    Upload the first batch of raw data for labeling. Launch your pool of tasks and monitor progress as tasks are completed.

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    Download the video files with labels and get ground truth data.

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    Tweak settings to improve results for the next batch of video data.

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Why choose Toloka for video labeling

Our platform is purpose-built to meet the most challenging data labeling demands.

    • Fast scalability
    • Short turnaround time
    • Wide range of quality
      control tools
    • Real-time data labeling
    • API and Python SDK
      for easy integrations
    • Clear pricing
  • "Toloka is the first place we go to prepare data for AI. We get a full set of quality control tools and it's 10 times cheaper than our previous solution."
    "We choose Toloka because of high throughput for large data volumes. We collected the world's largest database of 200,000 unique photos and videos."
    "What we gain is a dependable approach to data labeling that we utilize in machine learning models, offline metrics, and content creation and monitoring."

Find out more

Get data labeling 
on your terms

FAQ

  • Video annotation refers to the process of adding metadata to a video file, typically in the form of labels or descriptions. This metadata describes the content of the video, including the objects, people, and actions that are depicted in the footage.There are several different ways to annotate videos, depending on your goals and the resources available.
    • Manual annotation. Human viewers watch the videos and add labels.
    • Automated annotation. A computer algorithm labels objects and actions in the videos.
    • Combination (human in the loop). An automated system generates labels and human viewers verify edge cases where the label confidence is low, or do spot checks.
  • The biggest challenge in video annotation is the time and resources involved. Video annotation can be a time-consuming process due to the sheer volume of data. A fast and affordable way to overcome this challenge is to break the task down into bite-size pieces and distribute it to a large crowd of annotators. Toloka's global crowd is available 24/7 to handle data in over 40 languages.
  • Yes. We protect the privacy and well-being of Tolokers. Please see the guidelines for tasks.
  • The Toloka data labeling platform offers project presets for video classification and side-by-side comparison. You don't need to do any manual tagging or labeling. Upload video files and create a project with instructions for how you want our global crowd of Tolokers to label them. To explore other video annotation capabilities (bounding boxes, segmentation, object tracking, and more), please reach out to our team.

Ready to learn more?

Chat with one of our experts to match Toloka technologies 
to your business needs.
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Fractal