Machine Generated Data
Tags
Amazon
created on 2019-10-30
Clarifai
created on 2019-10-30
Imagga
created on 2019-10-30
wall | 45.3 | |
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landscape | 40.3 | |
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castle | 34.4 | |
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travel | 31.1 | |
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sky | 26.7 | |
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stone | 24.8 | |
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building | 24.4 | |
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tourism | 24 | |
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rock | 21.8 | |
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desert | 21.3 | |
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rampart | 21.1 | |
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architecture | 20.4 | |
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canyon | 19.9 | |
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fortification | 19.8 | |
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old | 19.6 | |
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mountain | 19.2 | |
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fortress | 19.1 | |
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ancient | 19.1 | |
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landmark | 19 | |
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park | 19 | |
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mountains | 18.6 | |
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hill | 17.8 | |
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brick | 17.4 | |
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scenery | 17.2 | |
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history | 17 | |
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river | 16.9 | |
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snow | 15.4 | |
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tower | 15.3 | |
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structure | 15.1 | |
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scenic | 15 | |
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clouds | 14.4 | |
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historical | 14.1 | |
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outdoors | 13.5 | |
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house | 13.3 | |
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cliff | 12.8 | |
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national | 12.7 | |
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tree | 12.5 | |
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medieval | 12.5 | |
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trees | 12.5 | |
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water | 12 | |
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historic | 11.9 | |
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road | 11.8 | |
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palace | 11.6 | |
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highland | 11.3 | |
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city | 10.8 | |
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ruins | 10.7 | |
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building material | 10.7 | |
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rural | 10.6 | |
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defensive structure | 10.5 | |
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sand | 10.4 | |
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rocks | 10.4 | |
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temple | 10.3 | |
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erosion | 9.8 | |
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land | 9.6 | |
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weather | 9.4 | |
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dry | 9.3 | |
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town | 9.3 | |
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vacation | 9 | |
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stronghold | 8.9 | |
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country | 8.8 | |
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village | 8.7 | |
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panoramic | 8.7 | |
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wilderness | 8.6 | |
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valley | 8.6 | |
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buildings | 8.5 | |
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slope | 8 | |
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grass | 7.9 | |
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forest | 7.9 | |
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construction | 7.7 | |
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culture | 7.7 | |
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area | 7.6 | |
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monument | 7.5 | |
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environment | 7.4 | |
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fence | 7.3 | |
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coast | 7.2 | |
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farm | 7.2 | |
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Google
created on 2019-10-30
Painting | 93.7 | |
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Art | 80 | |
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Visual arts | 66.9 | |
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Stock photography | 65.4 | |
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Artwork | 54.3 | |
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Antique | 54.2 | |
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Printmaking | 52.4 | |
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Illustration | 50.4 | |
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Color Analysis
Feature analysis
Categories
Imagga
beaches seaside | 52.6% | |
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nature landscape | 17.1% | |
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paintings art | 15.5% | |
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streetview architecture | 8.5% | |
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cars vehicles | 3.7% | |
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Captions
Microsoft
created on 2019-10-30
a vintage photo of a mountain | 89.1% | |
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a vintage photo of a dirt field | 89% | |
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a vintage photo of a dirt road | 88.9% | |
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Text analysis
![](https://ids.lib.harvard.edu/ids/iiif/20424702/56,716,905,21/full/0/native.jpg)
boes rut der r
Jomtorer
NOB AMIVIRO D PHILIFPO LE ROY gvIn TOPA RCH.E D, RONCHi EY OKLEGKMCATIx. MAILYAT A CONALIEET SVTREMI AGICE ARAKI A Te aNoVt.A ANTIANM ONVM ENTORI ET ATATORL ITOwLRVRUO 1VB MER A vS HENRATUS
![](https://ids.lib.harvard.edu/ids/iiif/20424702/199,716,23,11/full/0/native.jpg)
boes
![](https://ids.lib.harvard.edu/ids/iiif/20424702/223,717,15,11/full/0/native.jpg)
rut
![](https://ids.lib.harvard.edu/ids/iiif/20424702/236,717,20,11/full/0/native.jpg)
der
![](https://ids.lib.harvard.edu/ids/iiif/20424702/257,717,8,11/full/0/native.jpg)
r
![](https://ids.lib.harvard.edu/ids/iiif/20424702/120,717,42,11/full/0/native.jpg)
Jomtorer
![](https://ids.lib.harvard.edu/ids/iiif/20424702/56,723,34,12/full/0/native.jpg)
NOB
![](https://ids.lib.harvard.edu/ids/iiif/20424702/92,722,47,13/full/0/native.jpg)
AMIVIRO
![](https://ids.lib.harvard.edu/ids/iiif/20424702/138,723,10,12/full/0/native.jpg)
D
![](https://ids.lib.harvard.edu/ids/iiif/20424702/150,723,38,12/full/0/native.jpg)
PHILIFPO
![](https://ids.lib.harvard.edu/ids/iiif/20424702/187,724,14,12/full/0/native.jpg)
LE
![](https://ids.lib.harvard.edu/ids/iiif/20424702/202,724,17,12/full/0/native.jpg)
ROY
![](https://ids.lib.harvard.edu/ids/iiif/20424702/220,724,24,12/full/0/native.jpg)
gvIn
![](https://ids.lib.harvard.edu/ids/iiif/20424702/246,724,17,12/full/0/native.jpg)
TOPA
![](https://ids.lib.harvard.edu/ids/iiif/20424702/264,724,22,12/full/0/native.jpg)
RCH.E
![](https://ids.lib.harvard.edu/ids/iiif/20424702/286,725,10,12/full/0/native.jpg)
D,
![](https://ids.lib.harvard.edu/ids/iiif/20424702/294,724,39,13/full/0/native.jpg)
RONCHi
![](https://ids.lib.harvard.edu/ids/iiif/20424702/331,724,11,12/full/0/native.jpg)
EY
![](https://ids.lib.harvard.edu/ids/iiif/20424702/343,724,64,12/full/0/native.jpg)
OKLEGKMCATIx.
![](https://ids.lib.harvard.edu/ids/iiif/20424702/403,724,36,12/full/0/native.jpg)
MAILYAT
![](https://ids.lib.harvard.edu/ids/iiif/20424702/442,724,5,12/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/20424702/447,724,40,12/full/0/native.jpg)
CONALIEET
![](https://ids.lib.harvard.edu/ids/iiif/20424702/490,724,29,12/full/0/native.jpg)
SVTREMI
![](https://ids.lib.harvard.edu/ids/iiif/20424702/517,725,30,12/full/0/native.jpg)
AGICE
![](https://ids.lib.harvard.edu/ids/iiif/20424702/549,724,24,12/full/0/native.jpg)
ARAKI
![](https://ids.lib.harvard.edu/ids/iiif/20424702/595,723,23,13/full/0/native.jpg)
Te
![](https://ids.lib.harvard.edu/ids/iiif/20424702/617,722,32,13/full/0/native.jpg)
aNoVt.A
![](https://ids.lib.harvard.edu/ids/iiif/20424702/670,723,33,12/full/0/native.jpg)
ANTIANM
![](https://ids.lib.harvard.edu/ids/iiif/20424702/703,723,30,12/full/0/native.jpg)
ONVM
![](https://ids.lib.harvard.edu/ids/iiif/20424702/733,723,26,12/full/0/native.jpg)
ENTORI
![](https://ids.lib.harvard.edu/ids/iiif/20424702/759,723,11,12/full/0/native.jpg)
ET
![](https://ids.lib.harvard.edu/ids/iiif/20424702/770,722,39,13/full/0/native.jpg)
ATATORL
![](https://ids.lib.harvard.edu/ids/iiif/20424702/806,722,57,12/full/0/native.jpg)
ITOwLRVRUO
![](https://ids.lib.harvard.edu/ids/iiif/20424702/861,722,18,12/full/0/native.jpg)
1VB
![](https://ids.lib.harvard.edu/ids/iiif/20424702/879,722,16,12/full/0/native.jpg)
MER
![](https://ids.lib.harvard.edu/ids/iiif/20424702/917,721,9,12/full/0/native.jpg)
vS
![](https://ids.lib.harvard.edu/ids/iiif/20424702/926,718,35,14/full/0/native.jpg)
HENRATUS