Instance Segmentation, Body Part Parsing, and Pose Estimation of Human Figures in Pictorial Maps
dc.contributor.author
Schnürer, Raimund
dc.contributor.producer
Schnürer, Raimund
dc.date.accessioned
2023-12-22T14:16:17Z
dc.date.available
2023-12-18T17:27:40Z
dc.date.available
2023-12-19T15:30:21Z
dc.date.available
2023-12-22T14:16:17Z
dc.date.issued
2023-12-22
dc.identifier.uri
http://hdl.handle.net/20.500.11850/648440
dc.description.abstract
Training and test data to idenfity silhouettes of human figures on pictorial maps (6964 different images) and to segment body parts and pose points of pictorial human figures (9503 different images)
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JPG
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application/x-tar
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dc.format
application/zip
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dc.format
application/json
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dc.format
image/jpeg
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dc.format
image/png
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dc.format
text/plain
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dc.publisher
ETH Zurich
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dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Instance Segmentation, Body Part Parsing, and Pose Estimation of Human Figures in Pictorial Maps
en_US
dc.type
Dataset
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
1.10 GB
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ethz.grant
Storytelling with Animated Interactive Objects in Real-time 3D Maps
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ethz.publication.place
Zurich
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ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation
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ethz.date.retentionend
indefinite
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ethz.date.retentionendDate
n/a
ethz.grant.agreementno
ETH-11 17-1
ethz.grant.fundername
ETHZ
ethz.grant.funderDoi
10.13039/501100003006
ethz.grant.program
ETH Grants
ethz.relation.isSupplementTo
10.3929/ethz-b-000501723
ethz.date.deposited
2023-12-18T17:27:40Z
ethz.source
FORM
ethz.eth
yes
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ethz.availability
Closed access
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ethz.rosetta.installDate
2023-12-22T14:16:44Z
ethz.rosetta.lastUpdated
2023-12-22T14:16:44Z
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true
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