  We provide a system for semantic segmentation of small objects that enables
nail polish try-on AR applications to run client-side in realtime in native and
web mobile applications. By adjusting input resolution and neural network
depth, our model design enables a smooth trade-off of performance and runtime,
with the highest performance setting achieving~\num{94.5} mIoU at 29.8ms
runtime in native applications on an iPad Pro. We also provide a postprocessing
and rendering algorithm for nail polish try-on, which integrates with our
semantic segmentation and fingernail base-tip direction predictions.
