YOLO26 Segmentation Pt. 2: MuSGD, Boundary-Aware Masks & 43% CPU Speedup

Part 2 of our YOLO26-Seg breakdown. Ultralytics removed Distribution Focal Loss, swapped in the MuSGD hybrid optimizer, and pulled NMS inside the model. Result: up to 43% faster CPU inference, razor-sharp masks on overlapping objects, and one ONNX export that deploys from XL down to nano on Pi, drones, and phones. Full pipeline (inference, custom training, edge export) on LearnOpenCV: https://vist.ly/548zy NMS-free design explained: https://vist.ly/54823 #YOLO26 #Shorts #ComputerVision #InstanceSegmentation #EdgeAI #Ultralytics #DeepLearning #MachineLearning #AI