Case Study: Yembo achieves faster AI-powered 3D property inspections with V7 Darwin

A V7 Case Study

Preview of the Yembo Case Study

How Yembo Transforms the Home Services Industry with AI-Powered Virtual Surveys

Yembo, a company that provides AI solutions for the home services industry, needed to accurately annotate lengthy videos to train segmentation models for a 3D reconstruction tool. Their in-house annotation platform, which only supported bounding boxes, was insufficient for this precise task, creating a major bottleneck for their product development. They turned to the V7 Darwin training data platform for a solution.

V7 provided its advanced video annotation toolkit, including mask annotations and auto-labeling features, which enabled Yembo to build the high-quality datasets required. This allowed Yembo to successfully develop and add their new 3D tool to their offering. By using V7, Yembo accelerated its product development, extended its services to new use cases, and saved significant time and resources that would have been needed to build a comparable in-house solution.


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Yembo

Devin Waltman

Machine Learning Engineer


V7

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