Sökning: "Computer vision"

Visar resultat 1 - 5 av 870 uppsatser innehållade orden Computer vision.

  1. 1. Vertical movement asymmetries in 3-year-old SWB horses and their associations with scores in Young Horse Tests

    Master-uppsats, SLU/Dept. of Anatomy, Physiology and Biochemistry

    Författare :Anna Kallings Larsson; [2024]
    Nyckelord :orthopaedic health; objective gait assessment; conformation; linear profiling; movement asymmetry; artificial intelligence; computer vision; Swedish Warmblood;

    Sammanfattning : To improve equine performance and welfare, many attempts have been made to investigate associations between performance, longevity, orthopaedic health, conformation and talent. Causal relationships between these qualities supported by strong scientific evidence are lacking. LÄS MER

  3. 2. Robust Object Recognition and Tracking with Drones

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jiaying Wu; [2024]
    Nyckelord :;

    Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER

  4. 3. 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

  5. 4. Data Augmentation for Object Detection using Deep Reinforcement Learning

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Axel Andersson; Nils Hallerfelt; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. LÄS MER

  7. 5. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER