Sökning: "computer vision"

Visar resultat 1 - 5 av 557 uppsatser innehållade orden computer vision.

  1. 1. Ocean Exploration with Artificial Intelligence

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Sarah Al-Khateeb; Lisa Bodlak; [2021-07-06]
    Nyckelord :computer science; deep learning; generative adversarial networks; data augmentation; object detection; underwater image; computer vision;

    Sammanfattning : Large and diverse data is crucial to train object detection systems properly andachieve satisfactory prediction performance. However, in some areas, such as ma rine science, gathering sufficient data is challenging and sometimes even infeasible.Working with limited data can result in overfitting and poor performance. LÄS MER

  2. 2. Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Elias Åkeborg; [2021]
    Nyckelord :Machine learning; Computer vision; Feature-extraction; Classification; Camera Calibration; DeepLab; U-Net; Ridge Detection; Sub-pixel optimization; Artificial Intelligence; Technology and Engineering;

    Sammanfattning : Machine learning as a field has expanded in an explosive manner, with more companies interested in using the technology. One of these companies, Spiideo, uses Machine learning to automatically stream and record sports, highlighting key events - all automatically without a cameraman. LÄS MER

  3. 3. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Christian von Koch; William Anzén; [2021]
    Nyckelord :deep learning; deep neural network; computer vision; image segmentation; iron ore pelletising plant; furnace slag-detection; U-Net; PSPNet;

    Sammanfattning : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. LÄS MER

  4. 4. Operational data extraction using visual perception

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

    Författare :Nagarajan Shunmugam; [2021]
    Nyckelord :Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Sammanfattning : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. LÄS MER

  5. 5. Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Hanna Hamrell; [2021]
    Nyckelord :machine learning; deep learning; image-to-image translation; image processing; generative adversarial networks; infrared images; computer vision;

    Sammanfattning : Training data is an essential ingredient within supervised learning, yet time con-suming, expensive and for some applications impossible to retrieve. Thus it isof interest to use synthetic training data. However, the domain shift of syntheticdata makes it challenging to obtain good results when used as training data fordeep learning models. LÄS MER