Solutions
The medical video dataset is expanding rapidly as healthcare providers offer more virtual care, medical students study recorded procedures, and patients request medical guidance recordings. Our annotation platform allows clients to categorize and segment medical video, providing structured data for AI development.
From minimally invasive to open surgery, label and divide visible surgical tools, abnormalities, and organs. Mark operating room elements and communication among surgeons for substance and emotion.
In a counseling session, the patient's facial expressions and intonation indicated frustration and sadness as they discussed their struggles with managing their chronic illness. The caregiver's empathetic and supportive tone helped to create a sense of understanding and validation for the patient's emotions.
ClassificationPolygon SegmentationBox SegmentationLine SegmentationCircle SegmentationRange SegmentationXANA accelerates AI development with speedy access to millions of diverse data points. Rooted in quality, it ensures consistent performance, advanced insights, and top-notch privacy across various industries and data types.
Stop annotating data slowly with in-house teams or outsourcing to teams whose quality you can't control.
Access the Centaur Labs network of thousands of medical doctors, professionals, researchers and students for skilled annotation
You define quality. We rigorously measure and manage it.
Incentivize labeler performance with small batch, mobile-first competitions. Labelers are only paid for performance and give 100% of their effort on every case
Proactively understand the nuances of your dataset, so your data works with you, not against you.
Leverage case-level insights to inform model development e.g. precision-recall curves, label distribution, labeler agreement
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