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DeepFaune New England: A species classification model for trail camera images in northeastern North America

November 14, 2025

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 (https://code.usgs.gov/vtcfwru/deepfaune-new-england), and has been further integrated into the PyTorch-Wildlife framework.

Publication Year 2025
Title DeepFaune New England: A species classification model for trail camera images in northeastern North America
DOI 10.1002/ece3.72174
Authors Laurence A. Clarfeld, 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
Publication Type Article
Publication Subtype Journal Article
Series Title Ecology and Evolution
Index ID 70273069
Record Source USGS Publications Warehouse
USGS Organization Coop Res Unit Leetown
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