CNN Training Imagery and Labels Subset 1
This zip file includes the first subset of training images used for training this CNN. This data is only subset for ease of upload and download but should be combined by the user on their local machine. The full label file for all training data is included with both subsets and is identical. That fi...
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2019
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Online Access: | https://dx.doi.org/10.5061/dryad.7482v2n/2 https://datadryad.org/resource/doi:10.5061/dryad.7482v2n/2 |
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ftdatacite:10.5061/dryad.7482v2n/2 2023-05-15T13:45:26+02:00 CNN Training Imagery and Labels Subset 1 Gray, Patrick C. Bierlich, Kevin C. Mantell, Sydney A. Friedlaender, Ari S. Goldbogen, Jeremy A. Johnston, David W. 2019 https://dx.doi.org/10.5061/dryad.7482v2n/2 https://datadryad.org/resource/doi:10.5061/dryad.7482v2n/2 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.7482v2n http://creativecommons.org/publicdomain/zero/1.0 CC0 photogrammetry cetaceans convolutional neural network unoccupied aerial systems drones species identification deep learning population assessments United States Western Antarctic Peninsula Antarctica California USA Durham Megaptera novaeangliae Balaenoptera bonaerensis Balaenoptera musculus dataset Dataset DataFile 2019 ftdatacite https://doi.org/10.5061/dryad.7482v2n/2 https://doi.org/10.5061/dryad.7482v2n 2021-11-05T12:55:41Z This zip file includes the first subset of training images used for training this CNN. This data is only subset for ease of upload and download but should be combined by the user on their local machine. The full label file for all training data is included with both subsets and is identical. That file "via_region_data.json" has the mask shapes in and species IDs in a JSON format as needed for the neural network. Dataset Antarc* Antarctic Antarctic Peninsula Antarctica Balaenoptera bonaerensis Balaenoptera musculus Megaptera novaeangliae DataCite Metadata Store (German National Library of Science and Technology) Antarctic Antarctic Peninsula |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
photogrammetry cetaceans convolutional neural network unoccupied aerial systems drones species identification deep learning population assessments United States Western Antarctic Peninsula Antarctica California USA Durham Megaptera novaeangliae Balaenoptera bonaerensis Balaenoptera musculus |
spellingShingle |
photogrammetry cetaceans convolutional neural network unoccupied aerial systems drones species identification deep learning population assessments United States Western Antarctic Peninsula Antarctica California USA Durham Megaptera novaeangliae Balaenoptera bonaerensis Balaenoptera musculus Gray, Patrick C. Bierlich, Kevin C. Mantell, Sydney A. Friedlaender, Ari S. Goldbogen, Jeremy A. Johnston, David W. CNN Training Imagery and Labels Subset 1 |
topic_facet |
photogrammetry cetaceans convolutional neural network unoccupied aerial systems drones species identification deep learning population assessments United States Western Antarctic Peninsula Antarctica California USA Durham Megaptera novaeangliae Balaenoptera bonaerensis Balaenoptera musculus |
description |
This zip file includes the first subset of training images used for training this CNN. This data is only subset for ease of upload and download but should be combined by the user on their local machine. The full label file for all training data is included with both subsets and is identical. That file "via_region_data.json" has the mask shapes in and species IDs in a JSON format as needed for the neural network. |
format |
Dataset |
author |
Gray, Patrick C. Bierlich, Kevin C. Mantell, Sydney A. Friedlaender, Ari S. Goldbogen, Jeremy A. Johnston, David W. |
author_facet |
Gray, Patrick C. Bierlich, Kevin C. Mantell, Sydney A. Friedlaender, Ari S. Goldbogen, Jeremy A. Johnston, David W. |
author_sort |
Gray, Patrick C. |
title |
CNN Training Imagery and Labels Subset 1 |
title_short |
CNN Training Imagery and Labels Subset 1 |
title_full |
CNN Training Imagery and Labels Subset 1 |
title_fullStr |
CNN Training Imagery and Labels Subset 1 |
title_full_unstemmed |
CNN Training Imagery and Labels Subset 1 |
title_sort |
cnn training imagery and labels subset 1 |
publisher |
Dryad Digital Repository |
publishDate |
2019 |
url |
https://dx.doi.org/10.5061/dryad.7482v2n/2 https://datadryad.org/resource/doi:10.5061/dryad.7482v2n/2 |
geographic |
Antarctic Antarctic Peninsula |
geographic_facet |
Antarctic Antarctic Peninsula |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica Balaenoptera bonaerensis Balaenoptera musculus Megaptera novaeangliae |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica Balaenoptera bonaerensis Balaenoptera musculus Megaptera novaeangliae |
op_relation |
https://dx.doi.org/10.5061/dryad.7482v2n |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.7482v2n/2 https://doi.org/10.5061/dryad.7482v2n |
_version_ |
1766224079895920640 |