D-FINE is a deep learning object detection model based on DEtection Transformers (DETR). It introduces a novel approach that redefines the regression task as a fine-grained distribution refinement process, rather than direct coordinate prediction. The method achieved ICLR 2025 Spotlight recognition and is implemented in Python using the DETR framework.