YOLO is a state-of-the-art (SOTA)object detectionalgorithm, and it is so fast that it has become one of the standard ways of detecting objects in the field of computer vision. Previously, sliding window operations were most common in object detection. Then came improvements, and faster versi...
The chapter "YOLO with Webcam" showcases real-time object detection using the YOLO algorithm with a webcam. The Python script Yolo-Webcam.py captures video from the webcam and applies object detection using YOLO, providing a real-time detection experience. Project 1 - Car Counter The "Car ...
While working with YOLOv8 or any object detection model, thechoice between CPU and GPUcan significantly impact the model’s performance for both training and inference. CPUs, as we know, are great for general purposes and can efficiently handle smaller tasks. However, CPUs fail when the task b...
这篇文章总结得很好,特摘要转载仅供分享. Ref(有条件的科学看原文) : https://encord.com/blog/yolov8-for-object-detection-explained/ 文章也勾起很多回忆,首次和yolo结缘是2017年研二开始做毕设的时候,课题…
@文心快码yolov8 small object detection 文心快码 基于你的问题,我将从YOLOv8模型的特点、性能、小目标检测表现、提升精度的技术方法、实现或优化模型以及测试评估等方面进行详细回答。 1. YOLOv8模型的特点和性能 YOLOv8是YOLO(You Only Look Once)系列的一个新版本,它在目标检测任务上展现出了强大的性能。YOLOv...
small object detectionremote sensing imagesattention mechanismfeature fusionYOLOv8, as an efficient object detection method, can swiftly and precisely identify objects within images. However, traditional algorithms encounter difficulties when detecting small objects in remote sensing images, such as missing ...
Improving its detection accuracy under more severe challenges, like partial or total occlusion, blur, or varying sizes, in this model is a specific goal for achieving the model improvement objective. This paper will integrate the strengths of YOLOv8 with a Transformer-based attention mechanism to ...
Real-Time Object Detection Using YOLOv8 and Webcam YOLOv8 This project provides a user-friendly GUI application for performing real-time object detection using a webcam and the YOLOv8 model. It allows users to detect objects in real-time, count the number of objects, and save the annotated ...
Unmanned aerial vehicle (UAV) image object detection has extensive applications across both civilian and military domains. However, the traditional YOLOv8
To address these challenges, an improved YOLOv8 algorithm for small object detection in autonomous driving (MSD-YOLO) is proposed. This algorithm incorporates several enhancements to improve the performance of detecting small and densely occluded targets. Firstly, the downsampling module is replaced ...