Case Study: Driver Technologies achieves scalable image annotation for a global DriverCloud road‑safety dataset with CloudFactory

A CloudFactory Case Study

Preview of the Driver Technologie Case Study

Driver Technologies Helps Protect the World’s Motorists

Driver Technologie, the team behind the free AI‑powered dashcam app Driver, set out to democratize advanced driver‑assistance features and collect diverse, privacy‑protected road data from around the world. To build DriverCloud and scale high‑quality labeled data for training computer‑vision models, Driver Technologie needed large‑scale image annotation support and partnered with CloudFactory.

CloudFactory provided 3,000 hours of complimentary managed workforce support; roughly 160 CloudWorkers applied over one million bounding boxes to 225,000 images, rapidly building DriverCloud’s annotated dataset. CloudFactory’s labeling work enabled Driver Technologie to refine its collision‑avoidance models and publish a searchable, globally diverse data repository for researchers and startups — a measurable increase in labeled data to train safer, more inclusive vehicle AI.


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Driver Technologie

Marcus Newbury

Co-Founder


CloudFactory

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