Quividi’s gender recognition algorithm has a success rate in excess of 86%, as openly stated in our website and in our documentation. What this means is that, on average, one person out of ten will be either misclassified or not classified at all. We absolutely want to stress that any classification errors do NOT depend on ethnicity. As a matter of fact, these errors are not easy to trace back to simple facial features since the algorithm does not work the same way a human brain would. (In passing, note that humans score “only” 95% on gender classification tests!)

The 86% success rate is achieved via a training procedure on a database of over ten thousand manually labeled faces. The face database has been built as to include the largest possible distribution of age brackets, ethnic types and hairstyles and has no “racial” bias. We sell our product all over the world and we need consistent success rates. At the same time, we have never developed nor will ever develop any ethnicity classification mechanism in our software — that would simply be out of line with Quividi’s core values.

You should remark that, as opposed to our competitors, we are the only audience measurement company to show gender results in real time in our demo. We can afford to do this because we are very confident about our software and because we have always been completely transparent about the capabilities of our product. Normally the occasional and unavoidable mistake is more of a source of chuckles than of a serious critique and we are sorry that this was not the case. Don’t take it personally and do not feel too special: you are just one in ten.

Roi Iglesias

I think it’s good to be honest and explain that you have a partner with Tru-Media. So, you don’t try to give a comment as an objective opinion, if before you don’t explain the reality.

Dennis

Roi Iglesias