DeepFaune New England: A Species Classification Model for Trail Camera Images in Northeastern North America

Authors:
Open Access
Publisher website
Google Scholar
Abstract
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.
Funding Information
  • Vermont Fish and Wildlife Department (06120FY24649)
  • U.S. Geological Survey (G21AC10001)

This publication has 14 references indexed in Scilit: