In our experiment, we use three different weights and cfg file to process the detection. At first, we used the pretrain yolo version 3 weights from YOLO’s official website to detect the sample. Then we go to pretrain yolov3-tiny and yolov3-tiny trained by Udacity dataset to get better processing time and better accuracy.

YOLOV3 (pretrained)

YOLOV3-tiny (pretrained)

YOLOV3-tiny(trained from Udacity dataset)

With YOLOV3-tiny(trained from Udacity dataset), we can detect a image in a fair process time and an acceptable accuracy. We apply our implementation in video stream by process every frame within the video.

Video demo 1:

Video demo 2: