Experts to annotate
videos at scale

Medical video is a growing dataset available for AI development, as providers are delivering more care virtually, medical students are learning from recorded procedures, and patients are asking to record medical guidance.

Our annotation platform enables clients to structure medical video by both classifying one or multiple findings from a set of options and segmenting regions of interest.

Use cases

Surgical video

From minimally invasive to open surgery, tag and segment visible surgical instruments, lesions and organs. Tag operating room features and communication between surgeons for content and sentiment.

Clinical sessions

Tag a patient, caregiver or provider’s facial expressions, intonation or emotional responses, whether in a counseling session, or during a procedure. Identify content and sentiment of communication between speakers.

Annotation types

Polygon segmentation
Box segmentation
Line segmentation
Circle segmentation
Range selection


Trusted by AI leaders across healthcare

“The Centaur Labs platform provided labels at a scale that was 10x, or 20x, anything we had done by ourselves. Tremendous scale, tremendous throughput, and high quality labels.”

Machine Learning Engineer

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“Annotations that would have taken me 3 months to complete with our prior data annotation system, Centaur Labs completed in only 2 weeks.”

Founder and CEO

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“We were able to improve our model dramatically - from .6 to .83 F1 score - in part, because of Centaur Labs.”

Sr. AI Scientist

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