Machine Generated Data
Tags
Amazon
created on 2022-06-04
Person | 99.3 | |
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Human | 99.3 | |
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Person | 98.9 | |
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Railway | 88.7 | |
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Train Track | 88.7 | |
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Rail | 88.7 | |
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Transportation | 88.7 | |
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Person | 82.6 | |
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Person | 81.5 | |
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Architecture | 79.1 | |
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Building | 79.1 | |
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Person | 77.9 | |
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Person | 76 | |
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Parliament | 59.7 | |
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Person | 59.5 | |
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Person | 48 | |
|
Imagga
created on 2022-06-04
architecture | 79.1 | |
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building | 58.6 | |
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palace | 45.8 | |
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dome | 36 | |
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structure | 31.7 | |
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city | 30 | |
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house | 29.2 | |
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residence | 29.2 | |
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tourism | 28.9 | |
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travel | 28.9 | |
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ancient | 26.8 | |
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old | 26.5 | |
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history | 24.2 | |
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landmark | 23.5 | |
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monument | 21.5 | |
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bridge | 20.4 | |
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roof | 20.2 | |
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urban | 20.1 | |
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famous | 19.6 | |
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stone | 19.5 | |
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buildings | 18.9 | |
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church | 17.6 | |
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sky | 16.6 | |
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historic | 16.5 | |
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arch | 16.3 | |
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culture | 16.3 | |
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dwelling | 15.6 | |
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scene | 15.6 | |
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tower | 15.2 | |
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facade | 15.1 | |
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exterior | 14.8 | |
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university | 14.1 | |
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water | 13.4 | |
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cityscape | 13.3 | |
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temple | 13.2 | |
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historical | 13.2 | |
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window | 13.1 | |
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town | 13 | |
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column | 12.9 | |
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steel arch bridge | 12.9 | |
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tourist | 12.7 | |
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religion | 12.6 | |
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cathedral | 11.7 | |
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construction | 11.1 | |
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protective covering | 10.7 | |
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architectural | 10.6 | |
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marble | 10.1 | |
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art | 9.9 | |
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landscape | 9.7 | |
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medieval | 9.6 | |
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england | 9.5 | |
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liner | 9 | |
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vacation | 9 | |
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roman | 9 | |
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river | 8.9 | |
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night | 8.9 | |
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heritage | 8.7 | |
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antique | 8.7 | |
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holiday | 8.6 | |
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skyline | 8.6 | |
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destination | 8.4 | |
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vintage | 8.3 | |
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sculpture | 8 | |
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balcony | 7.8 | |
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housing | 7.7 | |
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statue | 7.6 | |
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traditional | 7.5 | |
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square | 7.2 | |
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wall | 7.2 | |
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passenger ship | 7.2 | |
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ship | 7.1 | |
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park | 7 | |
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covering | 7 | |
|
Google
created on 2022-06-04
Building | 93.7 | |
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Black-and-white | 85 | |
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Window | 84.7 | |
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Metropolis | 77.7 | |
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City | 77.5 | |
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Monochrome | 77 | |
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Metropolitan area | 76.8 | |
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Facade | 75.6 | |
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Monochrome photography | 75.1 | |
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Symmetry | 74.2 | |
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Urban design | 71.7 | |
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Arch | 68.6 | |
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Dome | 67.3 | |
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Dome | 66.1 | |
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Roof | 65.6 | |
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Circle | 65.2 | |
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Cityscape | 64.5 | |
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Night | 63.8 | |
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Mixed-use | 63.5 | |
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Stock photography | 62.3 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489224/100,346,38,91/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489224/38,337,43,113/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489224/653,206,26,39/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489224/688,211,25,57/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489224/20,363,24,74/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489224/611,200,30,41/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489224/630,559,15,26/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489224/4,362,20,76/full/0/native.jpg)
Person | 99.3% | |
|
Categories
Imagga
cars vehicles | 66.3% | |
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paintings art | 26.9% | |
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streetview architecture | 6.4% | |
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Captions
Microsoft
created on 2022-06-04
a vintage photo of a train station | 70.4% | |
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a vintage photo of an old building | 70.3% | |
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a vintage photo of a building | 70.2% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489224/123,777,18,15/full/0/native.jpg)
at
![](https://ids.lib.harvard.edu/ids/iiif/20489224/914,770,71,30/full/0/native.jpg)
2515B
![](https://ids.lib.harvard.edu/ids/iiif/20489224/206,777,32,18/full/0/native.jpg)
Sa.
![](https://ids.lib.harvard.edu/ids/iiif/20489224/31,774,207,24/full/0/native.jpg)
New track at Sullinan Sa.
![](https://ids.lib.harvard.edu/ids/iiif/20489224/583,771,91,25/full/0/native.jpg)
April 17.11
![](https://ids.lib.harvard.edu/ids/iiif/20489224/143,775,63,20/full/0/native.jpg)
Sullinan
![](https://ids.lib.harvard.edu/ids/iiif/20489224/31,774,90,24/full/0/native.jpg)
New track
![](https://ids.lib.harvard.edu/ids/iiif/20489224/36,0,947,801/full/0/native.jpg)
Hew track at Sullivan Sq.
HAR
April 17.11
Alo
15IN
2378
2515 B
![](https://ids.lib.harvard.edu/ids/iiif/20489224/36,777,44,21/full/0/native.jpg)
Hew
![](https://ids.lib.harvard.edu/ids/iiif/20489224/77,777,47,21/full/0/native.jpg)
track
![](https://ids.lib.harvard.edu/ids/iiif/20489224/123,778,24,20/full/0/native.jpg)
at
![](https://ids.lib.harvard.edu/ids/iiif/20489224/147,777,63,22/full/0/native.jpg)
Sullivan
![](https://ids.lib.harvard.edu/ids/iiif/20489224/207,779,28,20/full/0/native.jpg)
Sq
![](https://ids.lib.harvard.edu/ids/iiif/20489224/234,779,11,20/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489224/364,309,27,13/full/0/native.jpg)
HAR
![](https://ids.lib.harvard.edu/ids/iiif/20489224/586,778,49,19/full/0/native.jpg)
April
![](https://ids.lib.harvard.edu/ids/iiif/20489224/636,778,41,19/full/0/native.jpg)
17.11
![](https://ids.lib.harvard.edu/ids/iiif/20489224/854,353,37,104/full/0/native.jpg)
Alo
![](https://ids.lib.harvard.edu/ids/iiif/20489224/903,382,24,13/full/0/native.jpg)
15IN
![](https://ids.lib.harvard.edu/ids/iiif/20489224/924,0,43,16/full/0/native.jpg)
2378
![](https://ids.lib.harvard.edu/ids/iiif/20489224/924,777,46,23/full/0/native.jpg)
2515
![](https://ids.lib.harvard.edu/ids/iiif/20489224/965,782,18,19/full/0/native.jpg)
B