DAD-3DHeads is a computer vision dataset and benchmark for 3D head alignment from single images, published at CVPR 2022. The repository includes training code for models predicting 3D head pose and alignment, a UV texture predictor, and PNCC (Pose Normalized Color Context) estimator. It also provides benchmark evaluation code to compare methods on the dataset, implemented in Python with PyTorch.