论文标题
海洋生物通过你看一次
Marine life through You Only Look Once's perspective
论文作者
论文摘要
随着人们对人的行星和野生动植物的更改的重点兴起，越来越多的重点放在可持续和负责任的资源聚集上。为了保护海洋野生动植物，挪威政府已决定，有必要对挪威峡湾和海洋中各种野生动植物的存在和丰富性进行概述。在本文中，我们应用并分析了一种检测相机图像中鱼类的对象检测方案。数据是从挪威Fulehuk的淹没数据站进行采样的。我们实现您仅查看一次（YOLO）版本3，并创建一个由99,961张图像组成的数据集，其地图为$ \ sim 0.88 $。我们还研究了YOLO内的中间结果，从而深入了解了它如何执行对象检测。
With the rise of focus on man made changes to our planet and wildlife therein, more and more emphasis is put on sustainable and responsible gathering of resources. In an effort to preserve maritime wildlife the Norwegian government has decided that it is necessary to create an overview over the presence and abundance of various species of wildlife in the Norwegian fjords and oceans. In this paper we apply and analyze an object detection scheme that detects fish in camera images. The data is sampled from a submerged data station at Fulehuk in Norway. We implement You Only Look Once (YOLO) version 3 and create a dataset consisting of 99,961 images with a mAP of $\sim 0.88$. We also investigate intermediate results within YOLO, gaining insight into how it performs object detection.
