medical video
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 at Eko

"The Centaur Labs platform enabled us to quickly and conveniently gather results from our residents. We've accelerated our research by building and refining our ML models on COVID-19 pathologies in near real time. Centaur Labs has been a crucial partner throughout."

Director of Emergency Ultrasound, Emergency Medicine, Brigham & Women's Hospital

"Centaur Labs made the process of collecting skilled data labels that enable our cardiology AI research easy and fun. They are an ideal partner for collecting troves of opinions in a matter of days."

Fellowship Program Director, Cardiology Tufts Medical Center


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