Sökning: "V8"

Visar resultat 1 - 5 av 26 uppsatser innehållade ordet V8.

  1. 1. Automatic Semantic Segmentation of Indoor Datasets

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Swaroop Rachakonda; [2024]
    Nyckelord :Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Sammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER

  3. 2. Varnishing of Fiber-based Closures

    Master-uppsats, Lunds universitet/Förpackningslogistik

    Författare :Nisha Sunil David; [2023]
    Nyckelord :Varnishing; fiber-based closures; water-based spray coating; packaging; repulpability ; Technology and Engineering;

    Sammanfattning : This research aims to investigate water-based varnishes and technologies to coat fiber-based closures to attain water barrier properties. To ensure recyclability the repulpability of coated and uncoated lids is tested. The research approach is exploratory. LÄS MER

  4. 3. A Novel Approach for Rice Plant Disease Detection, classification and localization using Deep Learning Techniques

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Surya S V A S Sudheer Vadrevu; [2023]
    Nyckelord :Machine Learning; Image Processing; Disease Diagnosis; robustnessand reliability; SegFormer; Mask RCNN; YOLO v8;

    Sammanfattning : Background. This Thesis addresses the critical issue of disease management in ricecrops, a key factor in ensuring both food security and the livelihoods of farmers. Objectives. LÄS MER

  5. 4. Real Time Vehicle Detection for Intelligent Transportation Systems

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Elda Shurdhaj; Ulehla Christián; [2023]
    Nyckelord :Unmanned aerial vehicles UAVs ; vehicle detection; CNN architecture; snow cover; NVD; Yolov5s; Yolov8s; Faster R-CNN; real-time processing; edge devices;

    Sammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER

  7. 5. Investigation regarding the Performance of YOLOv8 in Pedestrian Detection

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jonatan Jönsson Hyberg; Adam Sjöberg; [2023]
    Nyckelord :Autonomous Cars; Machine Learning; YOLOv8; Pedestrian Detection;

    Sammanfattning : Autonomous cars have become a trending topic as cars become better and better at driving autonomously. One of the big changes that have allowed autonomous cars to progress is the improvements in machine learning. Machine learning has made autonomous cars able to detect and react to obstacles on the road in real time. LÄS MER