June 2, 2023 Dataset Open Access

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

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{
  "publisher": "Rodare", 
  "issued": {
    "date-parts": [
      [
        2023, 
        6, 
        2
      ]
    ]
  }, 
  "DOI": "10.14278/rodare.2315", 
  "type": "dataset", 
  "abstract": "<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>", 
  "title": "Dataset for Fate of bubble clusters rising in a quiescent liquid", 
  "id": "2315", 
  "author": [
    {
      "family": "Ma, Tian"
    }, 
    {
      "family": "Hessenkemper, Hendrik"
    }, 
    {
      "family": "Lucas, Dirk"
    }, 
    {
      "family": "Bragg, Andrew D."
    }
  ]
}