YOLO26 is a newly introduced, edge-optimized object detection model that eliminates Non-Maximum Suppression to achieve 43% faster CPU inference. A comprehensive overview details the model's performance benchmarks across various sizes and outlines its specific licensing terms. Additionally, the report provides a direct performance comparison between YOLO26 and the competing RF-DETR architecture.