Essays about: "yolov4"

Showing result 1 - 5 of 14 essays containing the word yolov4.

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

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Reinis Sestakovskis; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from KTH/Hälsoinformatik och logistik

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

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Statistiska institutionen

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

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

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Fredrik Strand; Jonathan Karlsson; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE