Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2.
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| Title: | Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2. |
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| Authors: | Tabak MA; Quantitative Science Consulting, LLC Laramie WY USA.; Department of Zoology and Physiology University of Wyoming Laramie WY USA., Norouzzadeh MS; Computer Science Department University of Wyoming Laramie WY USA., Wolfson DW; Minnesota Cooperative Fish and Wildlife Research Unit Department of Fisheries, Wildlife and Conservation Biology University of Minnesota St. Paul MN USA., Newton EJ; Wildlife Research and Monitoring Section Ontario Ministry of Natural Resources and Forestry Peterborough ON Canada., Boughton RK; Range Cattle Research and Education Center, Wildlife Ecology and Conservation University of Florida Ona FL USA., Ivan JS; Colorado Parks and Wildlife Fort Collins CO USA., Odell EA; Colorado Parks and Wildlife Fort Collins CO USA., Newkirk ES; Colorado Parks and Wildlife Fort Collins CO USA., Conrey RY; Colorado Parks and Wildlife Fort Collins CO USA., Stenglein J; Wisconsin Department of Natural Resources Madison WI USA., Iannarilli F; Conservation Sciences Graduate Program University of Minnesota St. Paul MN USA., Erb J; Forest Wildlife Populations and Research Group Minnesota Department of Natural Resources Grand Rapids MN USA., Brook RK; Department of Animal and Poultry Science University of Saskatchewan Saskatoon SK Canada., Davis AJ; National Wildlife Research Center United States Department of Agriculture Fort Collins CO USA., Lewis J; College of Integrative Sciences and Arts Arizona State University Mesa AZ USA., Walsh DP; US Geological Survey National Wildlife Health Center Madison WI USA., Beasley JC; Savannah River Ecology Laboratory Warnell School of Forestry and Natural Resources University of Georgia Aiken SC USA., VerCauteren KC; National Wildlife Research Center United States Department of Agriculture, Animal and Plant Health Inspection Service Fort Collins CO USA., Clune J; OpenAI San Francisco CA USA., Miller RS; Center for Epidemiology and Animal Health United States Department of Agriculture Fort Collins CO USA. |
| Source: | Ecology and evolution [Ecol Evol] 2020 Sep 16; Vol. 10 (19), pp. 10374-10383. Date of Electronic Publication: 2020 Sep 16 (Print Publication: 2020). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Pub. Ltd Country of Publication: England NLM ID: 101566408 Publication Model: eCollection Cited Medium: Print ISSN: 2045-7758 (Print) Linking ISSN: 20457758 NLM ISO Abbreviation: Ecol Evol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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