Video by OpenCV via YouTube
Click-Ins runs inspections for insurers, rental fleets and dealerships from ordinary phone photos. The models behind it are trained almost entirely on rendered data: 3D vehicle models with procedurally generated dents, scratches and deformations across makes, colors, lighting and backgrounds, auto-annotated at the pixel level.
In this episode CEO Dmitry Geyzersky will cover how the pipeline works, where synthetic data holds up against real-world imagery and where it breaks, and what it took to close the gap in production. If you’ve weighed synthetic data for your own inspection or QA problem, this is a practitioner’s view of what actually deploys.
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