Recognition Pipeline at Scale
The technical build runs an image recognition layer across content feeds, identifying brand logos, product silhouettes and garment styles with sufficient confidence to attribute to specific brands. The recognition system was trained on a brand catalogue and tested across diverse content styles, lighting conditions and partial-obstruction cases. The valuation model behind the exposure score draws on media rate cards, audience demographic data and frequency of appearance to produce a per-brand, per-creator figure. The output is a dashboard that shows a creator or a brand manager exactly which brands are present in whose content and at what estimated value. The system runs post-hoc across existing content libraries or forward across new content.
