Blar i Brage INN på forfatter "Niedballa, Jürgen"

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    • Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data 

      Bubnicki, Jakub W.; Norton, Ben; Baskauf, Steven J.; Bruce, Tom; Cagnacci, Francesca; Casaer, Jim; Churski, Marcin; Cromsigt, Joris P. G. M.; Farra, Simone Dal; Fiderer, Christian; Forrester, Tavis D.; Hendry, Heidi; Heurich, Marco Dietmar; Hofmeester, Tim R.; Jansen, Patrick A.; Kays, Roland; Kuijper, Dries P. J.; Liefting, Yorick; Linnell, John Durrus; Luskin, Matthew S.; Mann, Christopher; Milotic, Tanja; Newman, Peggy; Niedballa, Jürgen; Oldoni, Damiano; Ossi, Federico; Robertson, Tim; Rovero, Francesco; Rowcliffe, Marcus; Seidenari, Lorenzo; Stachowicz, Izabela; Stowell, Dan; Tobler, Mathias W.; Wieczorek, John; Zimmermann, Fridolin; Desmet, Peter (Peer reviewed; Journal article, 2023)
      Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing ...

    • imageseg: An R package for deep learning-based image segmentation 

      Niedballa, Jürgen; Axtner, Jan; Döbert, Timm Fabian; Tilker, Andrew; Nguyen, An; Wong, Seth T.; Fiderer, Christian; Heurich, Marco Dietmar; Wilting, Andreas (Peer reviewed; Journal article, 2022)
      Convolutional neural networks (CNNs) and deep learning are powerful and robust tools for ecological applications and are particularly suited for image data. Image segmentation (the classification of all pixels in images) ...