Machine Generated Data
Tags
Amazon
created on 2019-06-04
Human | 98.9 | |
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Person | 98.9 | |
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Person | 98.3 | |
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Person | 98.1 | |
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Person | 93.3 | |
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Person | 90.9 | |
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Person | 89.7 | |
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Building | 88.3 | |
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Outdoors | 84.8 | |
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Person | 83.8 | |
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Nature | 83.4 | |
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Office Building | 81.3 | |
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Person | 79.8 | |
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Person | 79.8 | |
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Urban | 79.8 | |
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Road | 77.5 | |
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Person | 77.5 | |
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Steamer | 65 | |
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Vehicle | 64.6 | |
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Transportation | 64.6 | |
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Town | 63.8 | |
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City | 63.8 | |
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Person | 61.4 | |
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Architecture | 55.7 | |
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High Rise | 55.7 | |
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Postal Office | 55.1 | |
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Person | 49.2 | |
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Clarifai
created on 2019-06-04
architecture | 99.3 | |
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building | 98.7 | |
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no person | 97.4 | |
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administration | 96 | |
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street | 95.6 | |
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town | 94.4 | |
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people | 93.7 | |
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city | 93.3 | |
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home | 92.6 | |
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house | 91.7 | |
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outdoors | 91.7 | |
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travel | 91.2 | |
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old | 90.5 | |
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urban | 88 | |
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government | 87.8 | |
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vintage | 87 | |
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facade | 85.9 | |
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window | 83.9 | |
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art | 83 | |
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expression | 82.8 | |
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Imagga
created on 2019-06-04
building | 73.9 | |
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facade | 68.6 | |
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architecture | 52.8 | |
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cinema | 50.2 | |
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theater | 40.1 | |
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structure | 37.8 | |
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balcony | 30.7 | |
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house | 28.7 | |
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city | 27.5 | |
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palace | 27.1 | |
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travel | 26.1 | |
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old | 23.7 | |
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history | 23.3 | |
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landmark | 22.6 | |
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ancient | 22.5 | |
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sketch | 21.8 | |
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church | 21.3 | |
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residence | 21.3 | |
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tourism | 20.7 | |
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sky | 20.4 | |
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monument | 18.7 | |
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exterior | 18.5 | |
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stone | 17.7 | |
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drawing | 17.6 | |
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wall | 16.8 | |
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window | 16.5 | |
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religion | 16.2 | |
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historic | 15.6 | |
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tower | 14.4 | |
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construction | 13.7 | |
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marble | 13.7 | |
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sculpture | 13.5 | |
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column | 13.3 | |
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representation | 12.9 | |
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arch | 12.8 | |
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dwelling | 12.4 | |
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roof | 12.4 | |
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style | 11.9 | |
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art | 11.8 | |
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cathedral | 11.7 | |
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dome | 11.6 | |
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capital | 11.4 | |
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urban | 11.4 | |
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antique | 11.3 | |
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famous | 11.2 | |
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culture | 11.1 | |
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street | 11.1 | |
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vintage | 10.8 | |
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architectural | 10.6 | |
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windows | 10.6 | |
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statue | 10.5 | |
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home | 10.4 | |
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brick | 10.4 | |
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historical | 10.4 | |
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town | 10.2 | |
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basilica | 9.9 | |
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monastery | 9.8 | |
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entrance | 9.7 | |
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old fashioned | 9.5 | |
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buildings | 9.5 | |
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medieval | 8.6 | |
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classical | 8.6 | |
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door | 8.6 | |
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religious | 8.4 | |
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aged | 8.2 | |
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columns | 7.9 | |
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castle | 7.7 | |
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village | 7.7 | |
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landscape | 7.5 | |
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tourist | 7.3 | |
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square | 7.3 | |
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Google
created on 2019-06-04
Building | 89.4 | |
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Architecture | 89.4 | |
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House | 80.7 | |
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Facade | 75.9 | |
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History | 71.8 | |
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Material property | 69.9 | |
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Classical architecture | 66.6 | |
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Home | 63.7 | |
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City | 51.3 | |
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Arcade | 50.7 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20575236/980,584,13,16/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Sad | 49.6% |
Happy | 49.7% |
Surprised | 49.6% |
Disgusted | 49.5% |
Angry | 49.8% |
Calm | 49.7% |
Confused | 49.5% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20575236/967,582,43,135/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/724,565,29,93/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/243,559,23,71/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/198,560,16,61/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/899,584,27,66/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/108,557,22,61/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/873,581,28,72/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/785,577,20,74/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/306,566,22,70/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/754,574,25,79/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/98,557,15,56/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20575236/68,553,16,55/full/0/native.jpg)
Person | 98.9% | |
|
Categories
Imagga
streetview architecture | 99.9% | |
|
Captions
Microsoft
created on 2019-06-04
a close up of an old building | 96.6% | |
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an old photo of a large building | 93.8% | |
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an old photo of a building | 93.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20575236/315,428,170,42/full/0/native.jpg)
ARMY
![](https://ids.lib.harvard.edu/ids/iiif/20575236/886,479,123,22/full/0/native.jpg)
HEADQUARTERS
![](https://ids.lib.harvard.edu/ids/iiif/20575236/766,474,66,18/full/0/native.jpg)
SALVATION
![](https://ids.lib.harvard.edu/ids/iiif/20575236/735,468,273,23/full/0/native.jpg)
THE SALVATION ARMY HEADQUARTERS
![](https://ids.lib.harvard.edu/ids/iiif/20575236/78,455,405,43/full/0/native.jpg)
BAATION ARMY
![](https://ids.lib.harvard.edu/ids/iiif/20575236/735,471,31,20/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20575236/79,458,227,37/full/0/native.jpg)
BAATION
![](https://ids.lib.harvard.edu/ids/iiif/20575236/61,248,360,146/full/0/native.jpg)
TTELLCE
![](https://ids.lib.harvard.edu/ids/iiif/20575236/329,346,103,82/full/0/native.jpg)
rr
![](https://ids.lib.harvard.edu/ids/iiif/20575236/11,458,77,49/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20575236/833,480,35,23/full/0/native.jpg)
ARMY
![](https://ids.lib.harvard.edu/ids/iiif/20575236/804,530,31,14/full/0/native.jpg)
TRADE
![](https://ids.lib.harvard.edu/ids/iiif/20575236/11,421,1000,149/full/0/native.jpg)
THE SALVATION ARM
THE SALVATION ARMY
HEADQUARTERS
TRADE DEP
DOOKS.
![](https://ids.lib.harvard.edu/ids/iiif/20575236/89,434,227,65/full/0/native.jpg)
SALVATION
![](https://ids.lib.harvard.edu/ids/iiif/20575236/327,421,107,53/full/0/native.jpg)
ARM
![](https://ids.lib.harvard.edu/ids/iiif/20575236/890,486,121,26/full/0/native.jpg)
HEADQUARTERS
![](https://ids.lib.harvard.edu/ids/iiif/20575236/836,529,24,15/full/0/native.jpg)
DEP
![](https://ids.lib.harvard.edu/ids/iiif/20575236/803,556,34,14/full/0/native.jpg)
DOOKS.