Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ...
Monitoring whales in remote areas is important for their conservation; however, using traditional survey platforms (boat and plane) in such regions is logistically difficult. The use of very high-resolution satellite imagery to survey whales, particularly in remote locations, is gaining interest and...
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ftdatacite:10.17863/cam.85970 2023-05-15T16:13:19+02:00 Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... Cubaynes, Hannah C Fretwell, Peter T 2022 https://dx.doi.org/10.17863/cam.85970 https://www.repository.cam.ac.uk/handle/1810/338557 unknown Apollo - University of Cambridge Repository Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Animals Cetacea Fin Whale Humpback Whale Machine Learning Satellite Imagery United States Article ScholarlyArticle article-journal Text 2022 ftdatacite https://doi.org/10.17863/cam.85970 2023-04-03T13:00:07Z Monitoring whales in remote areas is important for their conservation; however, using traditional survey platforms (boat and plane) in such regions is logistically difficult. The use of very high-resolution satellite imagery to survey whales, particularly in remote locations, is gaining interest and momentum. However, the development of this emerging technology relies on accurate automated systems to detect whales, which are currently lacking. Such detection systems require access to an open source library containing examples of whales annotated in satellite images to train and test automatic detection systems. Here we present a dataset of 633 annotated whale objects, created by surveying 6,300 km2 of satellite imagery captured by various very high-resolution satellites (i.e. WorldView-3, WorldView-2, GeoEye-1 and Quickbird-2) in various regions across the globe (e.g. Argentina, New Zealand, South Africa, United States, Mexico). The dataset covers four different species: southern right whale (Eubalaena ... Text Fin whale Humpback Whale Southern Right Whale DataCite Metadata Store (German National Library of Science and Technology) Argentina New Zealand |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Animals Cetacea Fin Whale Humpback Whale Machine Learning Satellite Imagery United States |
spellingShingle |
Animals Cetacea Fin Whale Humpback Whale Machine Learning Satellite Imagery United States Cubaynes, Hannah C Fretwell, Peter T Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... |
topic_facet |
Animals Cetacea Fin Whale Humpback Whale Machine Learning Satellite Imagery United States |
description |
Monitoring whales in remote areas is important for their conservation; however, using traditional survey platforms (boat and plane) in such regions is logistically difficult. The use of very high-resolution satellite imagery to survey whales, particularly in remote locations, is gaining interest and momentum. However, the development of this emerging technology relies on accurate automated systems to detect whales, which are currently lacking. Such detection systems require access to an open source library containing examples of whales annotated in satellite images to train and test automatic detection systems. Here we present a dataset of 633 annotated whale objects, created by surveying 6,300 km2 of satellite imagery captured by various very high-resolution satellites (i.e. WorldView-3, WorldView-2, GeoEye-1 and Quickbird-2) in various regions across the globe (e.g. Argentina, New Zealand, South Africa, United States, Mexico). The dataset covers four different species: southern right whale (Eubalaena ... |
format |
Text |
author |
Cubaynes, Hannah C Fretwell, Peter T |
author_facet |
Cubaynes, Hannah C Fretwell, Peter T |
author_sort |
Cubaynes, Hannah C |
title |
Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... |
title_short |
Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... |
title_full |
Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... |
title_fullStr |
Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... |
title_full_unstemmed |
Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... |
title_sort |
whales from space dataset, an annotated satellite image dataset of whales for training machine learning models. ... |
publisher |
Apollo - University of Cambridge Repository |
publishDate |
2022 |
url |
https://dx.doi.org/10.17863/cam.85970 https://www.repository.cam.ac.uk/handle/1810/338557 |
geographic |
Argentina New Zealand |
geographic_facet |
Argentina New Zealand |
genre |
Fin whale Humpback Whale Southern Right Whale |
genre_facet |
Fin whale Humpback Whale Southern Right Whale |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.17863/cam.85970 |
_version_ |
1765998979346071552 |