Essays about: "naturliga bilder"

Showing result 11 - 15 of 26 essays containing the words naturliga bilder.

  1. 11. Evaluating synthetic training data for character recognition in natural images

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

    Author : Hannes Sundin; Jakob Josefsson; [2020]
    Keywords : ;

    Abstract : This thesis is centered around character recognition in natural images. More specifically, evaluating the use of synthetic font images for training a Convolutional Neural Network (CNN), compared to natural training data. Training a CNN to recognize characters in natural images often demands a large amount of labeled data. READ MORE

  3. 12. A comparison of OCR methods on natural images in different image domains

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

    Author : Melvin Lundqvist; Agnes Forsberg; [2020]
    Keywords : ;

    Abstract : Optical character recognition (OCR) is a blanket term for methods that convert printed or handwritten text into machine-encoded text. As the digital world keeps growing the amount of digital images with text increases, and the need for OCR methods that can handle more than plain text documents as well. READ MORE

  4. 13. Text Recognition in Natural Images : A study in Text Detection

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

    Author : Jan Brifkany; Anass El Yasini; [2020]
    Keywords : ;

    Abstract : In recent years, a surge in computer vision methods and solutions has been developed to solve the computer vision problem. By combining different methods from different areas of computer vision, computer scientists have been able to develop more advanced and sophisticated models to solve these problems. READ MORE

  5. 14. Latent Space Growing of Generative Adversarial Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Erik Sandström; [2019]
    Keywords : Generative models; GAN; Generative Adversarial Networks; Artificial Intelligence; CelebA; Latent Space; Deep Learning; Computer Vision; Machine Learning; Mathematics and Statistics;

    Abstract : This thesis presents a system, which builds on the Generative Adversarial Network (GAN) framework, with the focus of learning interpretable representations of data. The system is able to learn representations of data that are ordered in regards to the saliency of the attributes, in a completely unsupervised manner. READ MORE

  6. 15. Direct multispectral photogrammetry for UAV-based snow depth measurements

    University essay from KTH/Geoinformatik

    Author : Kathrin Maier; [2019]
    Keywords : Unmanned Aerial Vehicles UAV ; snow depth; direct photogrammetry; multispectral imagery; cryosphere;

    Abstract : Due to the changing climate and inherent atypically occurring meteorological events in the Arctic regions, more accurate snow quality predictions are needed in order to support the Sámi reindeer herding communities in northern Sweden that struggle to adapt to the rapidly changing Arctic climate. Spatial snow depth distribution is a crucial parameter not only to assess snow quality but also for multiple environmental research and social land use purposes. READ MORE