Software, Data & Models used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science"

  • Marco Willi (Creator)
  • Ross T. Pitman (Creator)
  • Anabelle W. Cardoso (Creator)
  • Christina M Locke (Creator)
  • Alexandra Swanson (Creator)
  • Amy Boyer (Creator)
  • Marten Veldthuis (Creator)
  • Lucy F Fortson (Creator)

Dataset

Description

Abstract
This dataset provides the software, the models, and other data used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science". This dataset contains the software to train convolutional neural networks, as well as all models trained for the study and code to apply them on new images. Additionally, data defining the conducted experiments are provided to ensure reproducibility.

Funding information
Sponsorship: This study was partially supported by the NSF under award IIS 1619177; The development of the Zooniverse platform was partially supported by a Global Impact Award from Google.; We also acknowledge support from STFC under grant ST/N003179/1.; EE was funded by the University of Oxford’s Hertford College Mortimer May fund.
Date made available2018
PublisherData Repository for the University of Minnesota

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