DeepFaune New England: A species classification model for trail camera images in northeastern North America
Ecology and Evolution
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
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.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | DeepFaune New England: A species classification model for trail camera images in northeastern North America |
| Series title | Ecology and Evolution |
| DOI | 10.1002/ece3.72174 |
| Volume | 15 |
| Issue | 11 |
| Publication Date | November 14, 2025 |
| Year Published | 2025 |
| Language | English |
| Publisher | Wiley |
| Contributing office(s) | Coop Res Unit Leetown |
| Description | e72174, 10 p. |
| Country | United States |
| Other Geospatial | New England |