Accelerate the process of building machine learning models

Our platform lets data scientists obtain training data quickly, efficiently and at scale.
Our web-based tools for annotating videos, images, and text can be used on our platform with crowdsource workers, or on-prem with your own in-house experts.

Annotation Tools that Work Directly on Videos


Benefits

Flexibility

  • Enterprise level roles for annotators/QA/managers.
  • Json-defined configurations.
  • Unlimited classes.
  • Unlimited, hierarchical, temporal attributes.
  • Can update attributes on each frame.

Simplicity

  • Browser based.
  • No need to install software.
  • Annotate images and videos in the same platform using the same tools.
  • Your storage - no need to upload your data to our platform.
  • Annotate with your in-house experts, your remote workforce, or our experienced annotation partners.

Security & Privacy

  • You host your data, no need to upload your data to our platform.
  • HIPAA & GDPR concerns: PII data stays on your premises.
  • You control access to your data.
  • On-prem versions available.

Benefits of Video Annotation

  • Annotate directly on videos, even while they are playing.
  • No need to extract and manage thousands of frames. It is always simpler to deal with a single video file than with thousand of image files.
  • Tracking with consistent IDs. Annotating videos makes tracking of the detected objects for the duration of the video simpler, including when objects move in and out of frame, and when their order shuffles.
  • Annotating temporal features. A car can be signaling for a turn, or a person sitting down or standing up - these are trivial to notice and annotate on videos.
  • Better annotation quality. Annotating on video can naturally follow the camera or an object's movement using interpolation, while annotating on disparate images results in flickering and jumps in between frames.
  • Cost and error reduction. More training data, at a fraction of the annotation time and effort.
  • Better trained models. More training data yields better trained models.
  • Automated tracking. Use object tracking algorithms to better annotate moving objects.
  • Native format. You capture video data, so it is the natural choice to annotate and train video data, rather than a small sample of disparate images.
  • Click here to learn more on our blog.

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