Aim: The objective of this research is to detect the objects in real time images or videos with high detection rate using the Novel You Only Look Once (YOLO) algorithm. To evaluate its performance, the Novel YOLO algorithm is compared with the Adaboost algorithm. Materials and Methods: To detect the objects, in this work two groups are taken with 20 as sample size for each group. A total of 40 samples includes the video dataset for object detection from kaggle repository. Simulation has been done with a pretest power of 0.8 and alpha 0.05. The performance metrics like accuracy values were calculated for evaluating the performance of the novel YOLO algorithm.

Object Detection, Novel YOLO Algorithm, Image Processing, Adaboost Algorithm, Accuracy