Wang Y, Wang H, Xin Z (2022) Efficient detection model of steel strip surface defects based on YOLO-V7. IEEE Access 10:133936–133944 Article Google Scholar Wang CY, Liao HYM, Yeh IH (2022) Designing network design strategies through gradient path analysis. arXiv preprint arXiv:2211.04800...
YOLOv5的基本框架 本文所提出的目标检测框架图 首先通过水下图像增强模块(MLLE框架)进行处理,然后利用图像增强后得到的图像作为目标检测网络的输入数据。然后,通过基于YOLOv5的改进目标检测框架,检测和识别对象。 改进后的YOLOv5检测框架整体结构 将RTMDet 骨干网络引入骨干网络,并在颈部网络中加入 BoT3 模块。 蓝色高...
无人机(UAV/Drones)是在这种灾难性情况下收集数据的唯一解决方案,由于捕获的图像分辨率很高,因此很容易检测到人类和动物等被困在洪水中的物体,棘手的部分是处理大量的数据来实时识别和定位对象。 RescueNet,提出了一种改进的 YOLOV4模型来实现上述目标。所提出的模型由卷积层组成,用于从给定图像中提取有用的特征。然...
YOLO-Based Fish Detection in Underwater Environments 喜欢 0 阅读量: 40 作者:MY Ouis,M Akhloufi 摘要: In this work, we present a comprehensive study on fish detection in underwater environments using sonar images from the Caltech Fish Counting Dataset (CFC). We use the CFC dataset, ...
Segmented dataset based on YOLOv7 for drone vs. bird identific- ation for deep and machine learning algorithms Mendeley Data (2023), 10.17632/6ghdz52pd7.5 Google Scholar [2] Pexels, https://www.pexels.com/, 2022. (accessed 26 December 2022). Google Scholar [3] Y. Guo, Y. Liu, T. ...
One-stage detectors are typically more suited for real-time applications since they offer faster inference speeds than their two-stage counterparts. The YOLO based algorithms are the current SOTA of real-time object detection in the MS-COCO dataset. Previous works have utilized YOLO detectors in th...
Leveraging YOLOv8's state-of-the- art object detection capabilities, the approach enables rapid detection of damaged products and quality assessment, improving overall food quality control practices. In addition, YOLOv8 integration with cloud-based systems facilitates dynamic visualization and monitoring ...
This study contributes to the advancement of underwater fish detection by showcasing the suitability of the CFC dataset and the efficacy of YOLO v7 and YOLO v8 models. These insights can pave the way for further advancements in fish detection, supporting conservation efforts and sustainable ...
(1) We propose a YOLO-based perception algorithm for UVMS grasping, integrating object detection with stereo vision distance measurement to achieve target detection with 3D coordinate information; (2) We introduce the YOLOv5s-CS object detection algorithm, an enhancement over the standard YOLOv5s al...
该管线从 YOLOv5 对象检测模型开始,模型检测 2 个类别:人和起重机(人员检测用于另一项任务)。 因为我想跟踪起重机的运动,所以我应用了 DeepSORT。 接下来,起重机的图像被裁剪出来并用作图像分类器的输入。 分类器输出 3 种可能的状态:移动、伸出支腿、打开吊杆。