Sökning: "You only look once YOLO"

Visar resultat 21 - 25 av 27 uppsatser innehållade orden You only look once YOLO.

  1. 21. Advanced Data Augmentation : With Generative Adversarial Networks and Computer-Aided Design

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Ludwig Thaung; [2020]
    Nyckelord :computer vision; machine learning; YOLO; GANs; data augmentation; object recognition; object detection; CAD;

    Sammanfattning : CNN-based (Convolutional Neural Network) visual object detectors often reach human level of accuracy but need to be trained with large amounts of manually annotated data. Collecting and annotating this data can frequently be time-consuming and financially expensive. LÄS MER

  3. 22. SEG-YOLO: Real-Time Instance Segmentation Using YOLOv3 and Fully Convolutional Network

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

    Författare :Zhuoyue Wang; [2019]
    Nyckelord :;

    Sammanfattning : Computer vision technology has been widely applied to augment sports TV broadcast experience.  Some of these broadcasts require accurate fore- ground segmentation on the outdoor sports scene, i.e., segmentation of po- tential sports players and highlight them. LÄS MER

  4. 23. Undersökning av lämpliga sensorer till ett övervakningssystem för farliga zoner

    Kandidat-uppsats, Högskolan i Halmstad

    Författare :Samir Aoun; Fredrik Arvidsson; [2019]
    Nyckelord :;

    Sammanfattning : I denna rapport presenteras undersökningar av olika tekniker för att identifiera personer i ett förbestämt område. RCWL-0516 radarmodul och kameraövervakning var metoder som undersöktes och testades. Distansmätningstest gjordes på RCWL-0516, genom olika material och med känslighetsmanipulering av modulen. LÄS MER

  5. 24. Optical Inspection for Soldering Fault Detection in a PCB Assembly using Convolutional Neural Networks

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

    Författare :Muhammad Bilal Akhtar; [2019]
    Nyckelord :Automatic Optical Inspection; Deep Learning; Convolutional Neural Networks; Object Detection; Soldering Bridge Fault; YOLO; Optimization; Automatisk optisk inspektion; Djup lärning; Konvolutional Neural Network; Objektdetektion; Lödbronfel; YOLO; Optimering;

    Sammanfattning : Convolutional Neural Network (CNN) has been established as a powerful toolto automate various computer vision tasks without requiring any aprioriknowledge. Printed Circuit Board (PCB) manufacturers want to improve theirproduct quality by employing vision based automatic optical inspection (AOI)systems at PCB assembly manufacturing. LÄS MER

  7. 25. Object Detection in Domain Specific Stereo-Analysed Satellite Images

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Fredrik Grahn; Kristian Nilsson; [2019]
    Nyckelord :object detection; object classification; clustering; hierarchical clustering; object localisation; machine learning; ai; image localisation; image segmentation; semantic segmentation; remote sensing images; satellite images; domain knowledge; support vector machines; svm; convolutional neural network; cnn; fully convolutional network; fcn; region-based convolutional neural network; you only look once; yolo; network fusion;

    Sammanfattning : Given satellite images with accompanying pixel classifications and elevation data, we propose different solutions to object detection. The first method uses hierarchical clustering for segmentation and then employs different methods of classification. LÄS MER