Case Study: Matterport achieves scalable, high-quality image annotation to accelerate 3‑D ML with CloudFactory

A CloudFactory Case Study

Preview of the Matterport Case Study

With CloudFactory image annotation, Matterport can focus on helping customers create interactive 3-D digital twins

Matterport, a California‑based spatial data company, builds immersive 3‑D digital twins using its Cortex AI to stitch images from LiDAR, 360° cameras, drones, and smartphones. Facing a growing global library of spatial imagery and the need to continuously optimize machine‑learning models, Matterport engaged CloudFactory for its Data Annotation Solution to handle large‑scale image annotation and classification so internal teams could focus on development.

CloudFactory provided managed image segmentation, annotation, and quality‑assured classification across Matterport’s 3‑D panoramic scans, returning ready‑to‑use labeled data that accelerated model iteration and product development. By offloading annotation to CloudFactory, Matterport achieved thousands of images labeled at scale, improved ML training efficiency, and sped time‑to‑market for new features while maintaining high quality and allowing engineering teams to concentrate on core spatial technology.


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Matterport

Sachal Dhillon

Senior Deep Learning Engineer


CloudFactory

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