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Dataset for Fate of bubble clusters rising in a quiescent liquid

Ma, Tian; Hessenkemper, Hendrik; Lucas, Dirk; Bragg, Andrew D.


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{
  "@id": "https://doi.org/10.14278/rodare.2315", 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-37057"
  ], 
  "identifier": "https://doi.org/10.14278/rodare.2315", 
  "creator": [
    {
      "affiliation": "HZDR", 
      "@type": "Person", 
      "name": "Ma, Tian"
    }, 
    {
      "affiliation": "HZDR", 
      "@type": "Person", 
      "name": "Hessenkemper, Hendrik"
    }, 
    {
      "affiliation": "HZDR", 
      "@type": "Person", 
      "name": "Lucas, Dirk"
    }, 
    {
      "affiliation": "Duke University", 
      "@type": "Person", 
      "name": "Bragg, Andrew D."
    }
  ], 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "name": "Dataset for Fate of bubble clusters rising in a quiescent liquid", 
  "distribution": [
    {
      "fileFormat": "zip", 
      "@type": "DataDownload", 
      "contentUrl": "https://rodare.hzdr.de/api/files/f13ac05c-3354-48da-8526-7f0e7a9d0d0f/TrainingData1.zip"
    }, 
    {
      "fileFormat": "zip", 
      "@type": "DataDownload", 
      "contentUrl": "https://rodare.hzdr.de/api/files/f13ac05c-3354-48da-8526-7f0e7a9d0d0f/TrainingData2.zip"
    }, 
    {
      "fileFormat": "zip", 
      "@type": "DataDownload", 
      "contentUrl": "https://rodare.hzdr.de/api/files/f13ac05c-3354-48da-8526-7f0e7a9d0d0f/TrainingData3.zip"
    }, 
    {
      "fileFormat": "zip", 
      "@type": "DataDownload", 
      "contentUrl": "https://rodare.hzdr.de/api/files/f13ac05c-3354-48da-8526-7f0e7a9d0d0f/TrainingData4.zip"
    }
  ], 
  "description": "<p>This repository contains the training data for Fate of bubble clusters rising in a quiescent liquid. Sequence 18, 19, 33 and 37 were used for validation. The structure is as follows: The Images folder contains the semi-artificial image sequences, the GTMask folder contains semantic masks with the same ID (gray value) for the same bubble, Nodes.pkl contains the prediction generated with the detection method described in <a href=\"http://arxiv.org/abs/2202.03107\"> &quot;Bubble identification from images with machine learning methods&quot;</a> and NodesGT.pkl the corresponding ground truth needed for training. You can use GTMask or NodesGT.pkl to train/test your own tracking model.</p>", 
  "@context": "https://schema.org/", 
  "datePublished": "2023-06-02", 
  "@type": "Dataset", 
  "url": "https://rodare.hzdr.de/record/2315"
}
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