CNN Training Imagery and Labels Subset 2

This zip file includes the second 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 f...

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Bibliographic Details
Main Authors: Gray, Patrick C., Bierlich, Kevin C., Mantell, Sydney A., Friedlaender, Ari S., Goldbogen, Jeremy A., Johnston, David W.
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2019
Subjects:
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
Antarctic
Antarctic Peninsula
Antarc*
Antarctica
Online Access:https://dx.doi.org/10.5061/dryad.7482v2n/3
https://datadryad.org/resource/doi:10.5061/dryad.7482v2n/3
id ftdatacite:10.5061/dryad.7482v2n/3
record_format openpolar
spelling ftdatacite:10.5061/dryad.7482v2n/3 2023-05-15T13:45:26+02:00 CNN Training Imagery and Labels Subset 2 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/3 https://datadryad.org/resource/doi:10.5061/dryad.7482v2n/3 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/3 https://doi.org/10.5061/dryad.7482v2n 2021-11-05T12:55:41Z This zip file includes the second 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 2
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 second 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 2
title_short CNN Training Imagery and Labels Subset 2
title_full CNN Training Imagery and Labels Subset 2
title_fullStr CNN Training Imagery and Labels Subset 2
title_full_unstemmed CNN Training Imagery and Labels Subset 2
title_sort cnn training imagery and labels subset 2
publisher Dryad Digital Repository
publishDate 2019
url https://dx.doi.org/10.5061/dryad.7482v2n/3
https://datadryad.org/resource/doi:10.5061/dryad.7482v2n/3
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/3
https://doi.org/10.5061/dryad.7482v2n
_version_ 1766224082844516352

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