Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
chairlift | 74.6 | |
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ski tow | 58.9 | |
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conveyance | 48 | |
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city | 33.3 | |
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sketch | 28.5 | |
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architecture | 27 | |
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building | 26.5 | |
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drawing | 25 | |
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travel | 21.1 | |
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shopping cart | 19.4 | |
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structure | 17.4 | |
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sky | 17.4 | |
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representation | 17 | |
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tower | 17 | |
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landscape | 16.4 | |
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urban | 15.7 | |
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handcart | 15.5 | |
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industry | 15.4 | |
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tourism | 14.8 | |
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snow | 14.7 | |
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industrial | 14.5 | |
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river | 14.2 | |
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bridge | 14 | |
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water | 14 | |
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old | 13.9 | |
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construction | 13.7 | |
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house | 13.4 | |
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town | 13 | |
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steel | 12.4 | |
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wheeled vehicle | 11.8 | |
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landmark | 11.7 | |
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vacation | 11.5 | |
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cityscape | 11.4 | |
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equipment | 11.3 | |
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winter | 11.1 | |
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power | 10.9 | |
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holiday | 10.7 | |
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station | 10.7 | |
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high | 10.4 | |
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factory | 9.7 | |
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panorama | 9.5 | |
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nuclear reactor | 9.1 | |
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history | 8.9 | |
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aerial | 8.7 | |
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cold | 8.6 | |
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season | 8.6 | |
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skyline | 8.5 | |
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business | 8.5 | |
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park | 8.5 | |
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container | 8.2 | |
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new | 8.1 | |
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pipe | 7.8 | |
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pollution | 7.7 | |
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energy | 7.6 | |
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buildings | 7.6 | |
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electricity | 7.6 | |
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vintage | 7.4 | |
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apparatus | 7.3 | |
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metal | 7.2 | |
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scenery | 7.2 | |
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trees | 7.1 | |
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center | 7 | |
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Google
created on 2022-06-04
Window | 90.6 | |
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Black-and-white | 82.5 | |
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Building | 82.4 | |
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Urban design | 76.9 | |
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Monochrome | 74.4 | |
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Painting | 72.9 | |
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Monochrome photography | 71.7 | |
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Art | 69.8 | |
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City | 68.9 | |
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Landscape | 66 | |
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Engineering | 65.4 | |
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Stock photography | 63.7 | |
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Vehicle | 62.3 | |
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Event | 62.3 | |
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Drawing | 62.1 | |
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History | 59.1 | |
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Illustration | 56 | |
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Visual arts | 53.5 | |
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Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 97.8% | |
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paintings art | 1% | |
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Captions
Microsoft
created on 2022-06-04
an old photo of a city | 85.1% | |
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an old photo of a building | 78.7% | |
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an old photo of a train | 36.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489015/201,998,21,19/full/0/native.jpg)
at
![](https://ids.lib.harvard.edu/ids/iiif/20489015/735,991,60,25/full/0/native.jpg)
4667
![](https://ids.lib.harvard.edu/ids/iiif/20489015/506,998,53,22/full/0/native.jpg)
May
![](https://ids.lib.harvard.edu/ids/iiif/20489015/105,997,94,26/full/0/native.jpg)
Mass.Av.
![](https://ids.lib.harvard.edu/ids/iiif/20489015/506,998,119,25/full/0/native.jpg)
May 20.10
![](https://ids.lib.harvard.edu/ids/iiif/20489015/568,1002,57,16/full/0/native.jpg)
20.10
![](https://ids.lib.harvard.edu/ids/iiif/20489015/81,1009,25,12/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20489015/32,997,324,26/full/0/native.jpg)
N14. on Mass.Av. at Haruard Sq.
![](https://ids.lib.harvard.edu/ids/iiif/20489015/320,999,36,23/full/0/native.jpg)
Sq.
![](https://ids.lib.harvard.edu/ids/iiif/20489015/225,999,89,19/full/0/native.jpg)
Haruard
![](https://ids.lib.harvard.edu/ids/iiif/20489015/32,1006,48,17/full/0/native.jpg)
N14.
![](https://ids.lib.harvard.edu/ids/iiif/20489015/32,994,769,36/full/0/native.jpg)
Hly on Mass. Av. at Harvard Sq.
May 2010
4667
![](https://ids.lib.harvard.edu/ids/iiif/20489015/32,1003,45,27/full/0/native.jpg)
Hly
![](https://ids.lib.harvard.edu/ids/iiif/20489015/83,1003,26,25/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20489015/109,1001,56,27/full/0/native.jpg)
Mass
![](https://ids.lib.harvard.edu/ids/iiif/20489015/161,1001,14,25/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489015/168,1000,28,26/full/0/native.jpg)
Av
![](https://ids.lib.harvard.edu/ids/iiif/20489015/507,999,56,21/full/0/native.jpg)
May
![](https://ids.lib.harvard.edu/ids/iiif/20489015/736,994,65,22/full/0/native.jpg)
4667
![](https://ids.lib.harvard.edu/ids/iiif/20489015/202,1000,24,26/full/0/native.jpg)
at
![](https://ids.lib.harvard.edu/ids/iiif/20489015/225,997,91,28/full/0/native.jpg)
Harvard
![](https://ids.lib.harvard.edu/ids/iiif/20489015/319,996,33,27/full/0/native.jpg)
Sq
![](https://ids.lib.harvard.edu/ids/iiif/20489015/570,999,58,21/full/0/native.jpg)
2010