research data . Dataset . 2019

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

August, Tom A; Affouard, Antoine; Bystriakova, Nadia; Fox, Nathan; Marlowe, Celia; Millard, Joseph W; Sanderson, Roy; Shayle, Elliot; Bonnet, Pierre;
Open Access English
  • Published: 21 Oct 2019
  • Publisher: Zenodo
Abstract
This dataset is the result of using an AI image classifer to classify images of plants on social media. We believe this is the first AI validated dataset of biological records taken from social media. This represents the dawn of AI naturalists whose domain of exploration is not the outdoor world but the digital realm. These AI naturalists will trawl streams of data from all over the globe, identifying genuine images of species, and in so doing create valuable data sets that will further our understanding of the distribution of wildlife on our planet. This dataset contains 31,973 classifications of images taken in central London between May 2011 and September 201...
Subjects
free text keywords: Artificial Intellegence, Computer vision, Social media, Flickr, Biodiversity, Biological recording
Funded by
EC| COS4CLOUD
Project
COS4CLOUD
Co-designed Citizen Observatories Services for the EOS-Cloud
  • Funder: European Commission (EC)
  • Project Code: 863463
  • Funding stream: H2020 | RIA
Validated by funder
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Open Access
Zenodo
Dataset . 2019
Provider: Datacite
Open Access
Zenodo
Dataset . 2019
Provider: Zenodo
Open Access
Zenodo
Dataset . 2019
Provider: Datacite
Open Access
Zenodo
Dataset . 2019
Provider: Zenodo
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