(MasterofElectronicInformation) ResearchonImprovementofYOLOv5Object DetectionAlgorithm Candidate:LIRunping Supervisor:FENGZuyong,SUChengyue May29,2023 SchoolofElectromechanicalEngineering GuangdongUniversityofTechnology Guangzhou510006,Guangdong,P.R.China 摘要 I 摘要 人工智能及相关技术在近十年得到了极大的发展,神经...
[2]:Huang R, Pedoeem J, Chen C. YOLO-LITE: a real-time object detection algorithm optimized for non-GPU computers[C]//2018 IEEE international conference on big data (big data). IEEE, 2018: 2503-2510. [3]: Wang C Y, Bochkovskiy A, Liao H Y M. YOLOv7: Trainable bag-of-free...
When the depth camera acquires an image, the position of the weld groove in the image is obtained using the object detection algorithm, the 3D point cloud of the weld groove is obtained using the depth sensor of the RealSense camera, and the distance of the pixel from the camera can be ...
algorithm可以看出,大部分点分布在图像的左上方和右下方, Networkmodel这是符合船舶外形的。 training Optimizenetwork1.0 parameters 0.8 Shipimagedetection 0.6 Outputtestresults0.4 立 Evaluationoftest0.2 results 0 图2目标检测流程图 00.20.40.60.81.0 Fig.2TheflowchartoftargetdetectionWidth ...
ResearchonImprovedObjectDetection AlgorithmBasedonDeepLearning YOLOv5 Candidate: ZangWenhan Supervisor: SongQingkun AcademicDegreeAppliedfor: MasterofElectronicInformation Speciality:Electronicinformation DateofOralExamination: March,2023 University: HarbinUniversityofScienceand ...
(UAVs) in detecting small targets, we designed a more suitable algorithm for UAV detection and called GBS-YOLOv5. It was an improvement on the original YOLOv5 model. Firstly, in the default model, there was a problem of serious loss of small target information and insufficient utilization of...
Hence, the proposed work presents a novel approach called “A Real-Time Object Detection Framework for Advanced Driver Assistant Systems” by implementing the state-of-the-art object detection algorithm YOLOv5 which improves the speed in detection of object over real-time. This paper provides a ...
YOLO-LITE: a real-time object detection algorithm optimized for non-GPU computers[C]//2018 IEEE international conference on big data (big data). IEEE, 2018: 2503-2510. ↩︎ Wang G, Chen Y, An P, et al. UAV-YOLOv8: a small-object-detection model based on improved YOLOv8 for UAV...
From Fig.9, it can be observed that the proposed algorithm, YOLOv5_mamba, exhibits stronger capabilities in detecting small objects. Expansion experiment UCAS_AOD Dataset is a well-known dataset in the field of aerial object detection, specifically designed for the detection of objects in aerial ...
The continuous development of smart industrial parks has imposed increasingly stringent requirements on safety helmet detection in environments such as factories, construction sites, rail transit, and fire protection. Current models often suffer from issues like false alarms or missed detections, especially...