Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project
Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Journal article |
| Published: |
Springer Nature
2018
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| _version_ | 1797063387265368064 |
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| author | Jones, F Allen, C Arteta, C Black, C Emmerson, L Freeman, R Hines, G Lintott, C Miller, G Simpson, R Southwell, C Zisserman, A Hart, T |
| author_facet | Jones, F Allen, C Arteta, C Black, C Emmerson, L Freeman, R Hines, G Lintott, C Miller, G Simpson, R Southwell, C Zisserman, A Hart, T |
| author_sort | Jones, F |
| collection | OXFORD |
| description | Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the Antarctic Peninsula, South Shetland Islands and South Georgia (03/2012 to 01/2014). Citizen science provides a means by which large and otherwise intractable photographic data sets can be processed, and here we describe the methodology associated with the Zooniverse project Penguin Watch, and provide validation of the method. We present anonymised volunteer classifications for the 73,802 images, alongside the associated metadata (including date/time and temperature information). In addition to the benefits for ecological monitoring, such as easy detection of animal attendance patterns, this type of annotated time-lapse imagery can be employed as a training tool for machine learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision development. |
| first_indexed | 2024-03-06T20:59:06Z |
| format | Journal article |
| id | oxford-uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f |
| institution | University of Oxford |
| last_indexed | 2024-03-06T20:59:06Z |
| publishDate | 2018 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oxford-uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f2022-03-26T14:00:37ZTime-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch projectJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6fSymplectic Elements at OxfordSpringer Nature2018Jones, FAllen, CArteta, CBlack, CEmmerson, LFreeman, RHines, GLintott, CMiller, GSimpson, RSouthwell, CZisserman, AHart, TAutomated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the Antarctic Peninsula, South Shetland Islands and South Georgia (03/2012 to 01/2014). Citizen science provides a means by which large and otherwise intractable photographic data sets can be processed, and here we describe the methodology associated with the Zooniverse project Penguin Watch, and provide validation of the method. We present anonymised volunteer classifications for the 73,802 images, alongside the associated metadata (including date/time and temperature information). In addition to the benefits for ecological monitoring, such as easy detection of animal attendance patterns, this type of annotated time-lapse imagery can be employed as a training tool for machine learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision development. |
| spellingShingle | Jones, F Allen, C Arteta, C Black, C Emmerson, L Freeman, R Hines, G Lintott, C Miller, G Simpson, R Southwell, C Zisserman, A Hart, T Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
| title | Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
| title_full | Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
| title_fullStr | Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
| title_full_unstemmed | Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
| title_short | Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
| title_sort | time lapse imagery and volunteer classifications from the zooniverse penguin watch project |
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