Sökning: "segmenting"

Visar resultat 11 - 15 av 143 uppsatser innehållade ordet segmenting.

  1. 11. Metadata Visualizations in Virtual Reality: A study of alternative ways of visualizing a search result’s metadata in virtual reality.

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Stella Millwood; Leo Nordén; [2023]
    Nyckelord :virtual reality; metadata; information seeking; understanding;

    Sammanfattning : This study explores ways of visualizing metadata in virtual reality through means other than text. Specifically, we focus on the metadata of a 3D object as a search result and how these visualizations can support understanding of the object. LÄS MER

  3. 12. Customer segmentation in Retail: An Experiment in Sweden

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nagma Athar Memon; [2023]
    Nyckelord :Customer Segmentation; Customer Relationship Management; Clustering; RFM; LRFMP;

    Sammanfattning : The retail industry is continuously transforming due to digitalization, globalization, urbanization, and automatization. These factors contribute to new and more transparent retail with new customer behaviors, business models, and international competition. LÄS MER

  4. 13. Evaluation of Tree Planting using Computer Vision models YOLO and U-Net

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Sofie Liszka; [2023]
    Nyckelord :Unet; YOLOv8; Autonomous tree planting;

    Sammanfattning : Efficient and environmentally responsible tree planting is crucial to sustainable land management. Tree planting processes involve significant machinery and labor, impacting efficiency and ecosystem health. In response, Södra Skogsägarna introduced the BraSatt initiative to develop an autonomous planting vehicle called E-Beaver. LÄS MER

  5. 14. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Björn Elwin; Anton Fredriksson; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER

  7. 15. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

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

    Författare :Oliver Möller; [2023]
    Nyckelord :Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

    Sammanfattning : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. LÄS MER