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AI validated plant observations from social media: Flickr images from central London 2011-2019

August, Tom A; Affouard, Antoine; Fox, Nathan; Marlowe, Celia; Millard, Joseph W; Sanderson, Roy; Bonnet, Pierre


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@dataset{august_tom_a_2019_3497314,
  author       = {August, Tom A and
                  Affouard, Antoine and
                  Fox, Nathan and
                  Marlowe, Celia and
                  Millard, Joseph W and
                  Sanderson, Roy and
                  Bonnet, Pierre},
  title        = {{AI validated plant observations from social media: 
                   Flickr images from central London 2011-2019}},
  month        = oct,
  year         = 2019,
  note         = {{TA conceived the idea, undertook the analyses and 
                   wrote the plantnet R-package used to interface
                   with the PlantNet API for classification (https://
                   github.com/BiologicalRecordsCentre/plantnet). TA,
                   NF, CM, JM, and RS, developed a prototype of this
                   idea at the Quantitative Ecology Hackathon 2019
                   hosted by the British Ecological Society. NF
                   developed the photosearcher R-package, used for
                   retrieving image data from Flickr
                   (https://github.com/nfox29/photosearcher). PB and
                   AA, granted free access to the PlantNet API for
                   this project (https://my.plantnet.org/) and
                   assisted TA in the development of the plantnet
                   R-package.  The BES Hackathon was supported by the
                   British Ecological Society and Methods in Ecology
                   and Evolution. TA was supported by COST action
                   CA17122 'Increasing understanding of alien species
                   through citizen science' and Natural Environment
                   Research Council award number NE/R016429/1 as part
                   of the UK-SCAPE programme delivering National
                   Capability.}},
  publisher    = {Zenodo},
  version      = {1.0},
  doi          = {10.5281/zenodo.3497314},
  url          = {https://doi.org/10.5281/zenodo.3497314}
}
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