Case Study: Miovision accelerates traffic data annotation with V7 Darwin

How Miovision is Using V7 to Build Smart Cities

Miovision, a Kitchener-based company that builds computer vision-powered transportation solutions, needed a more capable and cost-effective way to label diverse traffic data and support new annotation workflows beyond what its internal system could handle. The team wanted to manage large-scale datasets, re-annotations, and video annotations while improving visibility into annotator work and workflow control.

Using V7 Darwin, Miovision automated data import with webhooks, organized traffic imagery into folders, auto-annotated images, and exported labeled data to train and validate its own neural networks. V7 helped Miovision annotate more efficiently at a fraction of the cost, speed up AI development, and build new workflows and annotation types faster than before.

Miovison

Andrew Achkar

Technical Director