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Software for Bubble identification from images with machine learning methods

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


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    "publication_date": "2022-08-05", 
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        "name": "Hessenkemper, Hendrik"
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        "affiliation": "HZDR", 
        "name": "Starke, Sebastian"
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      {
        "affiliation": "HZDR", 
        "name": "Atassi, Yazan"
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      {
        "affiliation": "TIVConsultancy", 
        "orcid": "0000-0002-1378-3900", 
        "name": "Ziegenhein, Thomas"
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        "affiliation": "HZDR", 
        "orcid": "0000-0003-0463-2278", 
        "name": "Lucas, Dirk"
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    "title": "Software for Bubble identification from images with machine learning methods", 
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    "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>\n\n<p><strong>Update</strong></p>\n\n<p>The Prediction_demo.ipynb includes now an example how to prepare the predictions for the tracking algorithm of <a href=\"https://arxiv.org/abs/2306.02101\">&quot;Fate of bubble clusters rising in a quiescent liquid&quot;</a>. The tracking code can be found <a href=\"https://rodare.hzdr.de/record/2316\">here</a>.</p>\n\n<p><strong>Update</strong></p>\n\n<p>Now only tensorflow models are used, so no MXNet installation required.</p>", 
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      "Bubbly flows", 
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All versions This version
Views 1,677158
Downloads 28540
Data volume 6.6 GB1.4 GB
Unique views 1,097141
Unique downloads 18323

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