Evaluating YOLOv8 and YOLO11 for Real-time Object detection

Object detection is one of the important and challenging task in industrial machine vision. In this work, we evaluate YOLO8 and YOLO11 which are among the latest version of YOLO (you only look one) which one-stage deep learning detector. We use small datasets of 140 images per class and 20 image per class for racoons and mushrooms respectively. We present the accuracy and precision results of YOLO8 and YOLO11. The results show that the performance of YOLO11 is similar to YOLO8 after 100 epochs. The mean average precision (mAP) using the datasets for YOLOv8 and YOLO11 are 0.919 and 0.916 respectively