DINO is a self-supervised learning method that enables Vision Transformers to learn meaningful visual representations without labels. The repository provides training code, pretrained backbone weights, and full model checkpoints for downstream tasks. It implements the teacher-student knowledge distillation approach described in the paper ‘Emerging Properties in Self-Supervised Vision Transformers’.