Sökning: "Google Cloud Vision"

Visar resultat 6 - 10 av 13 uppsatser innehållade orden Google Cloud Vision.

  1. 6. Separation and Extraction of Valuable Information From Digital Receipts Using Google Cloud Vision OCR.

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Elias Johansson; [2019]
    Nyckelord :optical character recognition; automatic text extraction; python; google cloud vision; string analysis; receipt;

    Sammanfattning : Automatization is a desirable feature in many business areas. Manually extracting information from a physical object such as a receipt is something that can be automated to save resources for a company or a private person. LÄS MER

  3. 7. Suitability of OCR Engines in Information Extraction Systems : a Comparative Evaluation

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

    Författare :Zacharias Erlandsson; [2019]
    Nyckelord :;

    Sammanfattning : Previous research has compared the performance of OCR (optical character recognition) engines strictly for character recognition purposes. However, comparisons of OCR engines and their suitability as an intermediate tool for information extraction systems has not previously been examined thoroughly. LÄS MER

  4. 8. A comparison of image and object level annotation performance of image recognition cloud services and custom Convolutional Neural Network models

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Kristian Nilsson; Hans-Eric Jönsson; [2019]
    Nyckelord :machine learning; cnn; image recognition; cloud services;

    Sammanfattning : Recent advancements in machine learning has contributed to an explosive growth of the image recognition field. Simultaneously, multiple Information Technology (IT) service providers such as Google and Amazon have embraced cloud solutions and software as a service. LÄS MER

  5. 9. Using Random Forest model to predict image engagement rate

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

    Författare :Marko Lazic; Felix Eder; [2018]
    Nyckelord :;

    Sammanfattning : The purpose of this research is to investigate if Google Cloud Vision API combined with Random Forest Machine Learning algorithm is advanced enough in order to make a software that would evaluate how much an Instagram photo contributes to the image of a brand. The data set contains images scraped from the public Instagram feed filtered by #Nike, together with the meta data of the post. LÄS MER

  7. 10. Specialization of an Existing Image Recognition Service Using a Neural Network

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

    Författare :Sara Ersson; Oskar Dahl; [2018]
    Nyckelord :Neural networks; Machine learning; Tensorflow; Google Cloud Vision; Image recognition; Neurala nätverk; Maskininlärning; Tensorflow; Google Cloud Vision; Bildigenkänning;

    Sammanfattning : To help combat the environmental impacts caused by humans this project is about investigating one way to simplify the waste management process. The idea is to use image recognition to identify what material the recyclable object is made of. A large data set containing labeled images of trash, called Trashnet, was analyzed using Google Cloud Vision. LÄS MER