en 5-Image Processing Image Processing Research Paper Research Paper <div style="text-align: justify;"><span style="font-size:14px;"><span style="font-family:Times New Roman;"><span style="line-height:107%"><span new="" roman="" times="">We propose a real-time Yolov5 based deep convolutional neural network for detecting ships in the video. We begin with two famous publicly available SeaShip datasets each</span></span> <span style="line-height:107%"><span new="" roman="" times="">having around 9,000 images. We then supplement that with our self-collected dataset containing another thirteen thousand images. These images were labeled in six different classes, including passenger ships, military ships, cargo ships, container ships, fishing boats, and crane ships. The results confirm that Yolov5s can classify the ship&#39;s position in real-time from 135 frames per second videos with 99 % precision.</span></span></span></span></div> convolutional neural network,Yolov5,object detection,ship detection 2476 2476 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3040-2&slc_lang=en&sid=1 A. Ataee atefeataei@gmail.com 1800319475328460012098 1800319475328460012098 No Babol Noshirvani University of Technology S. J. Kazemitabar j.kazemitabar@nit.ac.ir 1800319475328460012099 1800319475328460012099 Yes Babol Noshirvani University of Technology