Sökning: "yolov4"

Visar resultat 1 - 5 av 14 uppsatser innehållade ordet yolov4.

  1. 1. Computer Vision-Based Dangerous Riding Behaviors Detection

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Reinis Sestakovskis; [2023]
    Nyckelord :;

    Sammanfattning : This study addresses the need for detecting dangerous riding behaviors in the context of e-scooters. The research focuses on developing object detection and image classification models to identify dangerous rides, particularly instances where multiple people ride on a single e-scooter simultaneously. LÄS MER

  3. 2. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Tariq Daoud; Emanuel Zere Goitom; [2022]
    Nyckelord :Computer vision; deep learning; machine learning; artificial neural networks; convolutional neural networks; YOLOv4; Datorseende; djupinlärning; maskininlärning; artificiella neurala nätverk; konvolutionella neurala nätverk; YOLOv4;

    Sammanfattning : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. LÄS MER

  4. 3. DRIVING-SCENE IMAGE CLASSIFICATION USING DEEP LEARNING NETWORKS: YOLOV4 ALGORITHM

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Muhammad Tamjid Rahman; [2022]
    Nyckelord :Machine learning; Convolutional neural network; Object detection; YOLO;

    Sammanfattning : The objective of the thesis is to explore an approach of classifying and localizing different objects from driving-scene images using YOLOv4 algorithm trained on custom dataset.  YOLOv4, a one-stage object detection algorithm, aims to have better accuracy and speed. LÄS MER

  5. 4. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

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

    Författare :Liu Mingxuan; [2022]
    Nyckelord :Approximate Computing; Deep Learning; Dynamic Environments; Object Detection; Online Controller; Semantic SLAM; Ungefärlig Beräkning; Djup Lärning; Dynamiska miljöer; Objektdetektion; Online Kontroller; Semantisk SLAM;

    Sammanfattning : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. LÄS MER

  7. 5. VISUAL DETECTION OF PERSONAL PROTECTIVE EQUIPMENT & SAFETY GEAR ON INDUSTRY WORKERS

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fredrik Strand; Jonathan Karlsson; [2022]
    Nyckelord :Machine learning; yolo; yolov4; cnn; ppe; personal protective equipment; object detection; computer vision; deep learning; artificial intelligence; ai; real-time object detection; real-time; safety; construction; workers; industry; face recognition;

    Sammanfattning : Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to improve working conditions and worker safety. The goal is thus to develop a system that will improve construction workers' safety. LÄS MER