Measuring the Gender Gap in Animated Films Using Computer Vision

I’ve always loved animated films. As a child, I would watch my favorite Disney films repeatedly on my family’s VCR. This was in the days before DVDs, decades before streaming. As an adult, I haven’t grown out of it (there’s nothing to grow out of). In fact, whenever there is a new animated movie in cinemas, I like to treat myself to a viewing. When I compare the films released when I was a kid with the ones produced nowadays, I feel like there are important differences in how stories are told and characters are depicted. It feels like there is more diversity of representation. A few months ago, I decided to find out if that really was the case by using neural networks to measure the equality of gender representation in animated films. While all forms of representation matter (gender, ethnic, social-economic, LGBTQ+…), gender in the traditional binary sense (male and female) is easier to measure, so I started there. <a href="https://betterprogramming.pub/measuring-the-gender-gap-in-animation-using-ai-fac738be4b19">Website</a>