Secondly, building on the lightweight network, we integrate the adaptive lightweight YOLOv4 with the SSD network to form an adaptive small object detection ensemble model (ASODE model), which improves the accuracy of target polyp detection without significantly increasing model memory. Thirdly, we ...
The task of UAV-based maritime rescue object detection faces two significant challenges: accuracy and real-time performance. The YOLO series models, known for their streamlined and fast performance, offer promising solutions for this task. However, exist
To address this challenge, this study proposes an innovative target detection model. Our model adopts the structure of YOLOv8-DSAF, comprising three key modules: depthwise separable convolution (DSConv), dual-path attention gate module (DPAG), and feature enhancement module (FEM). Firstly, DSConv...
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new ...
(1)基于yolo网络框架,通过在大规模数据集上进行视觉语言建模和预训练来增强YOLO的开放词汇检测能力。 (2)提出了一种新的可重新参数化的视觉-语言路径聚合网络( RepVL-PAN )和区域-文本对比损失,以促进视觉和语言信息之间的交互。 性能能指标 2.介绍 现有方法主要存在两方面的问题: ( 1 )计算量大;( 2 )边缘...
AMD GPU support with the rocm detector and YOLOv8 pretrained model do… Feb 10, 2024 LICENSE switch to MIT license Jul 27, 2020 Makefile increment version Jan 31, 2024 README.md Clarify docs about rtmp (blakeblackshear#5052) Jan 13, 2023 ...
SuperYOLO8: Enhancing Performance of Object Detection in Real-Time Multi-Modal Remote Sensing Imagery through SuperYOLO and YOLOv8 * 来自 IEEEXplore 喜欢 0 阅读量: 117 作者:KP Phung,NL Le,QU Nguyen 摘要: Object detection in remote sensing images (RSI) poses a significant challenge, ...
Through 12 core projects and 5 mini-projects, you’ll gain mastery by actively building applications in high-demand areas:Object Detection & Tracking:Project 6: Master object detection with the powerful YOLOv5 model.Project 7: Leverage the cutting-edge YOLOv8-cls for image and video ...
Real-time Object Detection and Tracking with YOLOv8 and Streamlit This repository is a comprehensive open-source project that demonstrates the integration of object detection and tracking using the YOLOv8 object detection algorithm and Streamlit, a popular Python web application framework for building int...
[54], with their license plate detection and recognition cascade algorithm, and Lou et al. [55], with the DC-YOLOv8 model, focused on detecting small-sized objects, showed superior performance in specific application scenarios, but these methods face challenges in universality and adaptability in...