Spyne AI · 2021 to 2022 · B2B · Automotive, computer vision
AI imaging APIs for cars
Studio quality car photos without a studio: background replacement, shadows and reflections, window and body correction, sold as APIs to dealers and marketplaces in five regions.
My roleOwned the automotive vertical: vision, roadmap and life cycle. Worked with 6 full stack and 3 AI developers, a designer and 10+ annotators.
The challenge
Dealers and marketplaces needed studio quality photos at catalogue scale.
What shipped
Segmentation, detection and generative pipelines (UNet, YOLO, GAN), colour correction, a guided capture app and 360 spins.
What moved
Model accuracy rose from 40% to 90%, and the automotive line was about 80% of revenue as ARR grew about 10x to ~$3M
Capture to catalogue
A phone, a guided capture, and an API that does the studio.
- 01
Guided capture
A shot checklist and 360 capture on the phone.
- 02
The studio, as an API
Background, shadows, reflections and colour, consistent across a whole inventory.
Before and after. - 03
The data loop
Weekly cycles on training data and annotation took accuracy from 40% to 90%.
Working notes on the imaging stack.