Projects per year
Description
Abstract
This dataset provides the camera trap images used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science" as well as meta-data about the images. The Snapshop Serengeti collection includes 6,163,870 images in JPG format. The Snapshot Wisconsin collection includes 497,204 images in JPG format. The Camera CATalogue collection include 506,241 images in JPG format. Excluded are the images for the dataset "Elephant Expedition" which will be published separately outside DRUM. Also excluded are images of humans due to privacy reasons.
Description
All images were downloaded from Zooniverse and have been resized to 330x330 pixels.
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.
This dataset provides the camera trap images used in "Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science" as well as meta-data about the images. The Snapshop Serengeti collection includes 6,163,870 images in JPG format. The Snapshot Wisconsin collection includes 497,204 images in JPG format. The Camera CATalogue collection include 506,241 images in JPG format. Excluded are the images for the dataset "Elephant Expedition" which will be published separately outside DRUM. Also excluded are images of humans due to privacy reasons.
Description
All images were downloaded from Zooniverse and have been resized to 330x330 pixels.
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 available | 2018 |
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Publisher | Data Repository for the University of Minnesota |
Projects
- 1 Finished
-
CHS: Small: Collaborative Research: Optimizing the Human
Fortson, L. F. (PI), Boley, D. L. (CoI), Neuhauser, C. (CoI) & Terveen, L. G. (CoI)
THE NATIONAL SCIENCE FOUNDATION
7/1/16 → 6/30/19
Project: Research project
Research output
- 1 Article
-
Identifying animal species in camera trap images using deep learning and citizen science
Willi, M., Pitman, R. T., Cardoso, A. W., Locke, C., Swanson, A., Boyer, A., Veldthuis, M. & Fortson, L. F., Jan 2019, In: Methods in Ecology and Evolution. 10, 1, p. 80-91 12 p.Research output: Contribution to journal › Article › peer-review
Open Access223 Scopus citations