• Deep Learning Based Automatic Segmentation of Gas Flares in Single Beam Echo Sounder Data 

      Skotnes, Teodor Lynghaug (Mastergradsoppgave; Master thesis, 2024-01-18)
      This thesis introduces the first study of instance segmentation applied to gas flares in single beam echo sounder data. We develop a comprehensive dataset consisting of 1,414 images, featuring 5,142 segmented objects identified as gas flare. A key contribution is the adaptation of the Brier score specifically for instance segmentation. Further, we show how to adapt the Weighted Box Fusion (WBF) ...