A comparison of deep learning and citizen science techniques for counting wildlife in aerial survey images

Torney, C., Lloyd-Jones, D. J., Chevallier, M., Moyer, D. C., Maliti, H. T., Mwita, M., Kohi, E. M. and Hopcraft, G. (2019) A comparison of deep learning and citizen science techniques for counting wildlife in aerial survey images. [Data Collection]

Enlighten Publications URI: http://eprints.gla.ac.uk/id/eprint/180086

Collection description

Files contain wildebeest counts for images taken during the 2015 wildebeest survey
- expert_counts: counting performed by DJLJ
- raw_zooniverse_counts: all counts from zooniverse volunteers (usernames redacted)
- yolo_counts: counting performed by deep learning object detection algorithm

College / School: College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
College of Science and Engineering > School of Mathematics and Statistics
Date Deposited: 25 Jan 2019 10:35
Funder's Name: European Commission (EC)
URI: http://researchdata.gla.ac.uk/id/eprint/732

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Torney, C., Lloyd-Jones, D. J., Chevallier, M., Moyer, D. C., Maliti, H. T., Mwita, M., Kohi, E. M. and Hopcraft, G. (2019); A comparison of deep learning and citizen science techniques for counting wildlife in aerial survey images

University of Glasgow

DOI: 10.5525/gla.researchdata.732

Retrieved: 2019-07-16