Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
building | 69.5 | |
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structure | 45.6 | |
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planetarium | 42.6 | |
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architecture | 42.2 | |
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old | 29.3 | |
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cooling tower | 26.9 | |
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castle | 25.8 | |
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sky | 24.9 | |
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travel | 24 | |
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cooling system | 21.5 | |
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history | 21.5 | |
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stone | 21.1 | |
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ancient | 20.8 | |
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tourism | 20.6 | |
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tower | 18.8 | |
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fortress | 17.5 | |
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city | 17.5 | |
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water | 17.4 | |
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mechanism | 17.3 | |
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landscape | 17.1 | |
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palace | 15.6 | |
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historic | 15.6 | |
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landmark | 15.4 | |
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roof | 15 | |
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dome | 14.6 | |
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barn | 14.1 | |
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nuclear reactor | 12.6 | |
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river | 12.5 | |
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urban | 12.2 | |
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famous | 12.1 | |
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construction | 12 | |
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industry | 12 | |
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industrial | 11.8 | |
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sea | 11.7 | |
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wall | 11.4 | |
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scenic | 11.4 | |
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monument | 11.2 | |
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device | 11.1 | |
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sunset | 10.8 | |
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vacation | 10.6 | |
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medieval | 10.6 | |
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farm building | 10.5 | |
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rock | 10.4 | |
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scene | 10.4 | |
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ship | 10.3 | |
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apparatus | 10.2 | |
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church | 10.2 | |
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exterior | 10.1 | |
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factory | 9.7 | |
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vessel | 9.5 | |
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historical | 9.4 | |
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boat | 9.3 | |
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clouds | 9.3 | |
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town | 9.3 | |
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fortification | 9.2 | |
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environment | 9.1 | |
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night | 8.9 | |
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equipment | 8.8 | |
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brick | 8.6 | |
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wreck | 8.5 | |
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summer | 8.4 | |
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park | 8.3 | |
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outdoors | 8.2 | |
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tourist | 8.2 | |
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scenery | 8.1 | |
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sun | 8.1 | |
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trees | 8 | |
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day | 7.9 | |
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fort | 7.8 | |
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abandoned | 7.8 | |
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ruins | 7.8 | |
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culture | 7.7 | |
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concrete | 7.7 | |
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temple | 7.4 | |
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barrier | 7.2 | |
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shrine | 7.1 | |
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mountain | 7.1 | |
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steel | 7.1 | |
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window | 7 | |
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Google
created on 2022-06-04
Black | 89.5 | |
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Naval architecture | 87.6 | |
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Black-and-white | 82.7 | |
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Vehicle | 81.4 | |
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Monochrome photography | 77.4 | |
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Monochrome | 76.2 | |
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Art | 75.1 | |
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Building | 72.7 | |
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Watercraft | 69.2 | |
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Rectangle | 64 | |
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History | 63.9 | |
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Stock photography | 63.7 | |
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Boat | 63.7 | |
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Ship | 61.5 | |
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Water transportation | 55.8 | |
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Room | 52.3 | |
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Color Analysis
Feature analysis
Categories
Imagga
paintings art | 56.9% | |
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interior objects | 30.4% | |
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cars vehicles | 5.2% | |
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streetview architecture | 3.2% | |
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food drinks | 2.8% | |
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Captions
Microsoft
created on 2022-06-04
a vintage photo of an old building | 82.7% | |
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a vintage photo of a building | 82.6% | |
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a vintage photo of an old building in the background | 80.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488979/393,795,55,18/full/0/native.jpg)
oncy
![](https://ids.lib.harvard.edu/ids/iiif/20488979/892,786,60,20/full/0/native.jpg)
4766
![](https://ids.lib.harvard.edu/ids/iiif/20488979/171,789,36,17/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/20488979/210,787,89,22/full/0/native.jpg)
Mass.Av.
![](https://ids.lib.harvard.edu/ids/iiif/20488979/81,785,63,24/full/0/native.jpg)
Brattle
![](https://ids.lib.harvard.edu/ids/iiif/20488979/30,785,418,28/full/0/native.jpg)
Juect Brattle ST and Mass.Av. St.occup oncy
![](https://ids.lib.harvard.edu/ids/iiif/20488979/930,7,64,23/full/0/native.jpg)
1766
![](https://ids.lib.harvard.edu/ids/iiif/20488979/304,788,86,23/full/0/native.jpg)
St.occup
![](https://ids.lib.harvard.edu/ids/iiif/20488979/30,787,51,21/full/0/native.jpg)
Juect
![](https://ids.lib.harvard.edu/ids/iiif/20488979/151,792,22,13/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20488979/123,8,875,807/full/0/native.jpg)
de and Mass.Av. st. occupancy
4766
![](https://ids.lib.harvard.edu/ids/iiif/20488979/123,789,27,22/full/0/native.jpg)
de
![](https://ids.lib.harvard.edu/ids/iiif/20488979/176,789,37,22/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/20488979/214,789,92,24/full/0/native.jpg)
Mass.Av.
![](https://ids.lib.harvard.edu/ids/iiif/20488979/308,791,24,22/full/0/native.jpg)
st
![](https://ids.lib.harvard.edu/ids/iiif/20488979/329,791,11,22/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488979/337,791,107,24/full/0/native.jpg)
occupancy
![](https://ids.lib.harvard.edu/ids/iiif/20488979/932,8,66,24/full/0/native.jpg)
4766