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Luke Davies-Cooke June 23, 2022

6x Faster Video Annotation for King's College London

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King's College London used Encord to achieve a 6.4x average increase in labeling efficiency for GI videos.

Problem

Using clinicians to annotate pre-cancerous polyp videos had prohibitively high costs to produce large datasets.

Solution

Deployed Encord's micro-model module to increase clinician labeling efficiency and automate 97% of produced labels.

Results

Highest expense clinician saw 16x labeling efficiency improvement. Cut model development time from 1 year to 2 months.

  • 6.4X faster than manual labeling
  • 97% automated labels
  • 6X faster to AI in production