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 # Liquid_Level_Extraction_Unet
-In this repository, a Deep-learning model is given, which was trained to extract the vertical position of the gas-liquid-interface over time (liquid level time series) from video recordings of horizontal gas-liquid pipe flow experiments. Also called **L**iquid-gas **I**nterface **S**election **A**lgorithm (**LISA**). The xperiments were conducted in the european research projects MultiFlowMet I  and II [see [MFM I][1] and [MFM II][2]].
+In this repository, a Deep-learning model is given, which was trained to extract the vertical position of the gas-liquid-interface over time (liquid level time series) from video recordings of horizontal gas-liquid pipe flow experiments. Also called **L**iquid-gas **I**nterface **S**election **A**lgorithm (**LISA**). The Experiments were conducted in the european research projects MultiFlowMet I  and II [see [MFM I][1] and [MFM II][2]].
 
 [1]: https://www.euramet.org/research-innovation/search-research-projects/details/project/multiphase-flow-metrology-in-oil-and-gas-production/
 [2]: https://www.euramet.org/research-innovation/search-research-projects/details/project/multiphase-flow-reference-metrology/