Abstract
In the ecosystem of products from iCarbonX, the Smart Mirror is a connected mirror to help people to do gym exercises, give precise measurements of the body and more… For a company product, it’s needed to detect the gender of the person just by using its picture. Project requirement is starting from scratch, build a model using Xception, RGB & Depth images.
Challenges
- Lack of data / CNN architecture
- Implement it on product
Achievements (according to KPIs)
- High Resolution model
- Increase the dataset using different flows ( youtube scraping & Face detector)
- Model tested on Mirror -> Testing step before release
Further development
Make a lighter model to be more responsive, detect age to be careful on predictions on kids (challenging part)
