Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
sand | 55.7 | |
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beach | 52.3 | |
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ocean | 45 | |
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sea | 43.8 | |
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web site | 35.3 | |
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coast | 34.2 | |
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water | 34.1 | |
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landscape | 30.5 | |
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vacation | 29.5 | |
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travel | 28.9 | |
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sky | 28.7 | |
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holiday | 27.3 | |
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seaside | 26.3 | |
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shore | 25.6 | |
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island | 24.7 | |
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summer | 23.8 | |
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tropical | 23 | |
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dune | 19.9 | |
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wave | 19.9 | |
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shoreline | 19.4 | |
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horizon | 18 | |
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outdoors | 17.9 | |
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scenic | 17.6 | |
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paradise | 17 | |
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coastline | 16.9 | |
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relax | 16.9 | |
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tourism | 16.5 | |
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clouds | 16.1 | |
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waves | 15.8 | |
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sun | 14.8 | |
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seascape | 14.4 | |
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sandy | 13.6 | |
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resort | 13.3 | |
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scene | 13 | |
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envelope | 12.7 | |
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soil | 12.3 | |
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pier | 12.1 | |
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color | 11.1 | |
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tranquil | 10.9 | |
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scenery | 10.8 | |
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sunset | 10.8 | |
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cloud | 10.3 | |
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lake | 10.3 | |
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tourist | 10.3 | |
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boat | 10.2 | |
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grunge | 10.2 | |
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peaceful | 10.1 | |
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calm | 10.1 | |
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relaxation | 10.1 | |
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recreation | 9.9 | |
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reflection | 9.7 | |
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earth | 9.5 | |
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sunny | 9.5 | |
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sunshine | 9.4 | |
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tree | 9.3 | |
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outdoor | 9.2 | |
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exotic | 9.1 | |
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old | 9.1 | |
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bay | 9 | |
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romantic | 8.9 | |
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river | 8.9 | |
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weather | 8.9 | |
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clear | 8.7 | |
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surf | 8.7 | |
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golden | 8.6 | |
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empty | 8.6 | |
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container | 8.5 | |
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texture | 8.3 | |
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dirty | 8.1 | |
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trees | 8 | |
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sport | 8 | |
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desert | 7.8 | |
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season | 7.8 | |
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frame | 7.6 | |
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grungy | 7.6 | |
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palm | 7.5 | |
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fun | 7.5 | |
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city | 7.5 | |
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destination | 7.5 | |
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silhouette | 7.5 | |
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vintage | 7.5 | |
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retro | 7.4 | |
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mountain | 7.1 | |
|
Google
created on 2019-06-07
Photograph | 96.3 | |
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Text | 94.6 | |
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Snapshot | 85.4 | |
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Room | 74.4 | |
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Font | 68.6 | |
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Photography | 67.8 | |
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Adaptation | 67 | |
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History | 64.5 | |
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Stock photography | 59.4 | |
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Paper product | 59.4 | |
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Landscape | 59.3 | |
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Art | 58.1 | |
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Illustration | 57.7 | |
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Photographic paper | 50.6 | |
|
Microsoft
created on 2019-06-07
sky | 81.5 | |
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businesscard | 55 | |
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envelope | 52.6 | |
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tree | 52.2 | |
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Color Analysis
Categories
Imagga
interior objects | 40.2% | |
| ||
text visuals | 38% | |
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paintings art | 13.4% | |
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beaches seaside | 5.1% | |
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food drinks | 1.5% | |
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Captions
Microsoft
created on 2019-06-07
a number of animals in a room | 30.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43363041/499,78,44,15/full/0/native.jpg)
Orange
![](https://ids.lib.harvard.edu/ids/iiif/43363041/410,77,70,15/full/0/native.jpg)
Almshouses
![](https://ids.lib.harvard.edu/ids/iiif/43363041/481,78,17,13/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/43363041/409,76,218,17/full/0/native.jpg)
Almshouses of Orange County, N.Y.
![](https://ids.lib.harvard.edu/ids/iiif/43363041/397,197,32,16/full/0/native.jpg)
379
![](https://ids.lib.harvard.edu/ids/iiif/43363041/593,75,35,16/full/0/native.jpg)
N.Y.
![](https://ids.lib.harvard.edu/ids/iiif/43363041/547,79,46,13/full/0/native.jpg)
County,
![](https://ids.lib.harvard.edu/ids/iiif/43363041/818,197,30,16/full/0/native.jpg)
380
![](https://ids.lib.harvard.edu/ids/iiif/43363041/639,468,36,11/full/0/native.jpg)
Auatens
![](https://ids.lib.harvard.edu/ids/iiif/43363041/270,81,580,402/full/0/native.jpg)
Almshouses of Orange County, N. Y.
38 o
379
NORANA aEAR
SUPERNTENDRNTS AND NENS QUARTER5
wONENS AL NiNo
![](https://ids.lib.harvard.edu/ids/iiif/43363041/414,84,67,12/full/0/native.jpg)
Almshouses
![](https://ids.lib.harvard.edu/ids/iiif/43363041/485,84,15,12/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/43363041/505,81,39,17/full/0/native.jpg)
Orange
![](https://ids.lib.harvard.edu/ids/iiif/43363041/551,84,44,14/full/0/native.jpg)
County,
![](https://ids.lib.harvard.edu/ids/iiif/43363041/599,83,15,13/full/0/native.jpg)
N.
![](https://ids.lib.harvard.edu/ids/iiif/43363041/615,83,15,13/full/0/native.jpg)
Y.
![](https://ids.lib.harvard.edu/ids/iiif/43363041/823,201,17,16/full/0/native.jpg)
38
![](https://ids.lib.harvard.edu/ids/iiif/43363041/840,205,10,11/full/0/native.jpg)
o
![](https://ids.lib.harvard.edu/ids/iiif/43363041/403,202,27,18/full/0/native.jpg)
379
![](https://ids.lib.harvard.edu/ids/iiif/43363041/270,470,33,12/full/0/native.jpg)
NORANA
![](https://ids.lib.harvard.edu/ids/iiif/43363041/320,473,21,9/full/0/native.jpg)
aEAR
![](https://ids.lib.harvard.edu/ids/iiif/43363041/551,474,60,9/full/0/native.jpg)
SUPERNTENDRNTS
![](https://ids.lib.harvard.edu/ids/iiif/43363041/611,474,15,9/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/43363041/624,472,20,11/full/0/native.jpg)
NENS
![](https://ids.lib.harvard.edu/ids/iiif/43363041/643,473,35,10/full/0/native.jpg)
QUARTER5
![](https://ids.lib.harvard.edu/ids/iiif/43363041/763,473,29,9/full/0/native.jpg)
wONENS
![](https://ids.lib.harvard.edu/ids/iiif/43363041/796,473,15,8/full/0/native.jpg)
AL
![](https://ids.lib.harvard.edu/ids/iiif/43363041/810,473,18,7/full/0/native.jpg)
NiNo