Joel Grus built models to predict whether a toddler shirt is for a boy or girl based solely on images. His first model used color features, achieving 75-77% accuracy. His second model performed dimensionality reduction to find the most informative "eigenshirt" dimensions in the image space, projecting shirts into a 10-dimensional subspace and achieving 93% accuracy. Future work could analyze text on shirts or make images a uniform size/background to improve predictions.