Automated Image Recognition for Wildlife Camera Traps: Making it Work for You

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dc.contributor.authorGreenberg, Saul
dc.date.accessioned2020-08-21T17:21:23Z
dc.date.available2020-08-21T17:21:23Z
dc.date.issued2020-01-12
dc.description.abstractYou have likely heard about or read articles that apply automated image recognition to wildlife camera trap images. The basic idea is that the image recognition system will automatically analyze your images to locate and classify the wildlife species within them. But before you jump on the bandwagon, here are a few things you should know about.en_US
dc.identifier.citationGreenberg, S. (2020). "Automated image recognition for wildlife camera traps: making it work for you" [Technical Report]. University of Calgary. http://hdl.handle.net/1880/112416en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38103
dc.identifier.urihttp://hdl.handle.net/1880/112416
dc.publisher.facultyScienceen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.subjectCamera trapsen_US
dc.subjectwildlifeen_US
dc.subjectimage recognitionen_US
dc.subjectworkflowen_US
dc.titleAutomated Image Recognition for Wildlife Camera Traps: Making it Work for Youen_US
dc.typetechnical reporten_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelFacultyen_US
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