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]
Datacite DOI: 10.5525/gla.researchdata.732
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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
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| College / School: | College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health and Veterinary Medicine College of Science and Engineering > School of Mathematics and Statistics |
| Date Deposited: | 25 Jan 2019 10:35 |
| URI: | https://researchdata.gla.ac.uk/id/eprint/732 |
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