Case Study: Captur achieves rapid annotation and flexible video ontology building with Encord

Training Computer Vision Models to Track Rented Assets

Captur used Encord to improve its data annotation workflow for computer vision, focusing on labeling video and image data faster and more flexibly. As the team scaled, it needed a way to quickly build and iterate on ontologies and handle large annotation workloads without being constrained by a single-purpose in-house tool.

With Encord’s annotation platform and API support, Captur could upload previously annotated data, track objects across frames with speed, and keep multiple annotators working at once. Encord enabled the team to start collecting data immediately, try new ontologies in minutes, and reuse existing annotations to accelerate model development and feature iteration.

Captur

Charlotte Bax

Founder