名称:基于YOLOv8的高精度火车轨道路障检测算法 特点: 实时识别:采用轻量级架构YOLOv8m,支持实时识别轨道上的障碍物。 高精度识别:能够精准识别多种路障,包括人、动物、车辆、摩托车等。 易于部署:使用Python编程,代码跨平台,支持多种操作系统,环境配置简单。 数据集介绍 名称:火车轨道路障检测数据集 图像数量:2053张...
Despite its potential, the literature on YOLOv8 remains relatively scarce, leaving room for exploration and adoption in research. This study pioneers real-time vehicle detection using the YOLOv8 algorithm. An in-depth analysis of YOLOv8n, the smallest scale model within the YOLOv8 ...
epochs=100,batch=16,imgsz=640,save_period=-1,# 不保存中间权重project='runs/detect/drone_military',name='yolov8m_drone')# 评估模型metrics=model.val(data='drone_military_dataset/data.yaml')print(metrics)# 测试模型test_image_
在本研究中,我们使用了名为“Vehicle Height Detection”的数据集,以训练和改进YOLOv8-seg模型,旨在实现对监控下车辆类型的高效检测与分割。该数据集的设计初衷是为了解决交通监控中车辆分类和高度检测的实际需求,尤其是在城市交通管理、智能交通系统和自动驾驶等领域。通过对不同类型车辆的精确识别与分割,我们希望能够提...
This project aims to develop a vehicle management system using the YOLOV8 model and PaddleOCR. By combining object detection and optical character recognition (OCR) technology, the system can efficiently identify and record vehicle information such as license plate number, vehicle type, color, etc. ...
Building upon this foundation, the three-stage detector combines the efficiency of YOLO (You Only Look Once) for object detection with a specialized number plate extraction system. The system aims to provide real-time detection of two-wheeler riders, classification of helmet usage, and extraction ...
This section also discusses the integration of Distance Intersection over Union (DIoU) to enhance detection performance. Additionally, it covers the process of collecting airborne traffic and vehicle images using UAV systems, creating datasets, and conducting training and validation tests for YOLOv8 ...
Meanwhile, a CCM Small Target Detection Module (CSM) is designed in the neck to derive the feature maps with small receptive field. Finally, we set up a high beam vehicles dataset. The model GCS-YOLOv8 achieves the mean average precision (mAp) of 94% on the test set, and it is ...
论文地址:Electronics | Free Full-Text | YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In-Vehicle Camera (mdpi.com) 研究目标: 针对车载视觉智能技术领域中行人检测的挑战,提出一种改进的轻量级多尺度行人检测算法,以提高在复杂交叉路口环境下对行人的检测精度,特别是在处理小目标和高度遮挡情况下...
YOLO V8 Based North and South Bound Vehicle Counter Introduction This project is based on Murtaza's Workshop - Robotics and AI's work. I expanded on it to count vehicles moving in multiple directions instead of only one. This was done to perform traffic analysis on a multi-directional road...