By now, the YOLO family of object detectors includes several repositories and code bases. Here are the prominent ones: 1. YOLO Darknet (YOLOv1, YOLOv2, and YOLOv3) 2… See more

The YOLOv6 paperwas published by researchers at Meituan. It also has a corresponding GitHub repository containing the code, which is being actively maintained … See more

YOLOv6 employs plenty of new approaches to achieve state-of-the-art results. These can be summarized into four points: 1. Anchor free: Henceprovides better gene… See more

Several modern and state-of-the-art practical techniques have been used to make all the YOLOv6 models as fast and accurate as possible. As with any other YOLO mod… See more

The YOLOv6 object detection model requires two loss functions. 1. VFL (Varifocal Loss) as classification loss. 2. DFL (Distribution Focal Loss) along with SIoU or GI… See more