Katherine D. Gieder Angela K. Fuller Zhongqi Miao Alexej P.K. Sirén Shevenell M. Webb Toni Lyn Morelli Jillian R. Kilborn Catherine B. Callahan Leighlan S. Prout Rachel Cliché Riley K. Patry Christopher Bernier Susan Staats Therese M. Donovan Laurence A. Clarfeld 2025 <p><span id="_mce_caret" data-mce-bogus="1" data-mce-type="format-caret"><span>The DeepFaune New England model classifies wildlife species in trail camera images, identifying 24 taxa from northeastern North America with high (97%) accuracy. The model was adapted from the DeepFaune model for identifying European wildlife, demonstrating the practicality of transfer learning across continents. The majority of training data is openly licensed, and the model itself is open source, enabling easy integration into camera trapping workflows. The open source software is available at (</span><a class="linkBehavior" href="https://code.usgs.gov/vtcfwru/deepfaune-new-england" data-mce-href="https://code.usgs.gov/vtcfwru/deepfaune-new-england">https://code.usgs.gov/vtcfwru/deepfaune-new-england</a><span>), and has been further integrated into the PyTorch-Wildlife framework.</span></span></p> application/pdf 10.1002/ece3.72174 en Wiley DeepFaune New England: A species classification model for trail camera images in northeastern North America article