DAMO-YOLO extends the YOLO framework for object detection by incorporating Neural Architecture Search for backbone design, an efficient Reparameterized Generalized-FPN neck, and AlignedOTA label assignment strategy. The project provides complete training pipelines, distillation techniques for model enhancement, and deployment tools supporting ONNX and TensorRT formats. It includes multiple model sizes from Nano to Large variants optimized for real-time inference.