Case Study: King's College London achieves 6.4x faster video annotation with Encord

King's College London annotates videos 6.4x faster with Cord

King's College London faced the challenge of annotating medical videos, a process that was extremely expensive, time-consuming, and inefficient when employing senior clinicians. To accelerate their computer vision projects, they turned to the vendor Cord and its enterprise-grade annotation platform.

Using Cord's platform, which featured embedded intelligence like object tracking and micro-models, the team was able to automate a significant portion of the work. This solution provided a 6.4x faster annotation speed compared to their previous tool and led to a 16x improvement in labeling efficiency for their most senior clinicians. The results drastically cut model development time from an estimated year down to just two months.

King's College London