DINO implements an end-to-end object detector based on DETR with improved denoising anchor boxes. It uses a transformer architecture with contrastive training and a DN (denoising) mechanism to achieve leading accuracy on COCO object detection benchmarks. The repository provides training code, evaluation pipelines, and pretrained checkpoints for the detection model.