Dataset Open Access
Ma, Tian; Hessenkemper, Hendrik; Lucas, Dirk; Bragg, Andrew D.
{ "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\"> "Bubble identification from images with machine learning methods"</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>", "author": [ { "family": "Ma, Tian" }, { "family": "Hessenkemper, Hendrik" }, { "family": "Lucas, Dirk" }, { "family": "Bragg, Andrew D." } ], "issued": { "date-parts": [ [ 2023, 6, 2 ] ] }, "type": "dataset", "title": "Dataset for Fate of bubble clusters rising in a quiescent liquid", "DOI": "10.14278/rodare.2315", "publisher": "Rodare", "id": "2315" }
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Data volume | 1.3 GB | 1.3 GB |
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Unique downloads | 2 | 2 |