
Luke Davies-Cooke •June 23, 2022
6x Faster Video Annotation for King's College London

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