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This page is part of the Climate Change AI Wiki, which aims provide resources at the intersection of climate change and machine learning.
Machine learning tools are increasingly being used to help in the identification of organisms, both from photographic documentation and (in cases such as birds) audio recordings. These tools are deployed in personal apps and as part of citizen science projects, as well as within formal scientific monitoring efforts.
Background Readings[edit | edit source]
Conferences, Journals, and Professional Organizations[edit | edit source]
Libraries and Tools[edit | edit source]
Data[edit | edit source]
- FGVC7 Competitions: A set of competitions/datasets held as part of CVPR 2020, available here.
- LifeClef 2020: A set of competitions/datasets, available here.
- Camera Trap ML Survey: An overview of datasets used in current camera trap machine learning projects, available here.
Future Directions[edit | edit source]
Relevant Groups and Organizations[edit | edit source]
References[edit | edit source]
- "PlantSnap - Plant Identifier App, #1 Mobile App for Plant Identification". www.plantsnap.com. Retrieved 2021-03-09.
- "Fieldguide – for everything". App Store. Retrieved 2021-03-09.
- "BirdNET – The easiest way to identify birds by sound". Retrieved 2021-03-09.
- "Seek by iNaturalist · iNaturalist". iNaturalist. Retrieved 2021-03-09.