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- 1036
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- Latest Discussion
- 🦛 MIT Moo Deng AI Challenge Human-Nature Interaction 🦛
Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.
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- HawkEars: a high-performance bird sound classifier for Canada
HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
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- 781
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- Latest Discussion
- What Can Camera Traps Data Tell Us? (Besides the Obvious)
Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.
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- Nature Tech for Biodiversity Sector Map launched!
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!Â
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Course
Introduction to Conservation Technology
Course
GIS E-learning Course 4: Becoming Confident in Spatial Analysis & Geoprocessing
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Course
Camera Trapping for Conservation
Course
Environmental DNA for Terrestrial Vertebrate Conservation
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