This repository provides a third-party implementation of Grounding DINO, an open-set object detection model that combines DINO architecture with grounded pre-training to detect arbitrary objects using language descriptions. It supports model fine-tuning on custom datasets and pre-training from scratch, uses BERT for text encoding, and includes training acceleration strategies with multi-machine Slurm support.