Case Study: a leading innovator improves AI inclusion with Hugo

a leading innovator delivered 600,000 photo IDs in 3 months with Hugo

The customer, a leading innovator in technology, faced a significant challenge in developing equitable AI for its Pixel photo software. A lack of diverse facial imagery data, particularly for users with darker skin tones, created an inclusion gap. The company partnered with Hugo to collect a large and targeted dataset to improve its visual recognition models.

Hugo leveraged its strategic geographic reach across Africa to swiftly recruit participants and collect 600,000 tailored photo ID videos in just three months, far exceeding the original 12-month target. This effort achieved a 97% participant acceptance rate. The vendor's solution provided the diverse data needed to make the client's facial recognition technology more inclusive and accurate for a global user base.