There is a newer version of this record available.

Software Open Access

Software for Bubble identification from images with machine learning methods

Hessenkemper, Hendrik; Starke, Sebastian; Atassi, Yazan; Ziegenhein, Thomas; Lucas, Dirk


JSON-LD (schema.org) Export

{
  "description": "<p>This package contains the software and the trained models described in the publication <a href=\"https://arxiv.org/abs/2202.03107\">&quot;Bubble identification from images with machine learning methods&quot;</a>. Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "url": "https://rodare.hzdr.de/record/1471", 
  "version": "1.0", 
  "datePublished": "2022-03-07", 
  "@id": "https://doi.org/10.14278/rodare.1471", 
  "creator": [
    {
      "name": "Hessenkemper, Hendrik", 
      "@id": "https://orcid.org/0000-0002-2588-694X", 
      "@type": "Person", 
      "affiliation": "HZDR"
    }, 
    {
      "name": "Starke, Sebastian", 
      "@type": "Person", 
      "affiliation": "HZDR"
    }, 
    {
      "name": "Atassi, Yazan", 
      "@type": "Person", 
      "affiliation": "HZDR"
    }, 
    {
      "name": "Ziegenhein, Thomas", 
      "@id": "https://orcid.org/0000-0002-1378-3900", 
      "@type": "Person", 
      "affiliation": "TIVConsultancy"
    }, 
    {
      "name": "Lucas, Dirk", 
      "@id": "https://orcid.org/0000-0003-0463-2278", 
      "@type": "Person", 
      "affiliation": "HZDR"
    }
  ], 
  "@context": "https://schema.org/", 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-34349"
  ], 
  "@type": "SoftwareSourceCode", 
  "inLanguage": {
    "name": "English", 
    "alternateName": "eng", 
    "@type": "Language"
  }, 
  "keywords": [
    "Bubbly flows", 
    "Deep Learning", 
    "Computer Vision", 
    "CNN", 
    "Semantic segmentation"
  ], 
  "identifier": "https://doi.org/10.14278/rodare.1471", 
  "name": "Software for Bubble identification from images with machine learning methods"
}
669
39
views
downloads
All versions This version
Views 669347
Downloads 3921
Data volume 814.8 MB457.8 MB
Unique views 337182
Unique downloads 2815

Share

Cite as