Fig. 6 | Scientific Reports

Fig. 6

From: Classification of cotton leaf disease using YOLOv8 based k-fold cross validation deep learning method for precision agriculture

Fig. 6

Augmentations of YOLO model shows the different types of augmentations used internally by the YOLOv8m classify model to classify the leaf for example the defalt settings are {hsv_h = 0.015, hsv_s = 0.7, hsv_v = 0.4, degrees = 0.0, translate = 0.1, scale = 0.5, shear = 0.0, perspective = 0.0, flipud = 0.0, fliplr = 0.5, bgr = 0.0, mosaic = 1.0, mixup = 0.0, copy_paste = 0.0, auto_augment: randaugment, erasing = 0.4, and crop_fraction = 1.0}.

Back to article page