Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
architecture | 47.5 | |
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sculpture | 36.9 | |
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column | 34.8 | |
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building | 31.4 | |
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religion | 31.4 | |
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statue | 30.4 | |
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history | 29.5 | |
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art | 27 | |
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vestment | 25.7 | |
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monument | 24.3 | |
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historic | 23.8 | |
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old | 23.7 | |
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ancient | 23.4 | |
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church | 22.2 | |
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stone | 21.9 | |
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landmark | 21.7 | |
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famous | 21.4 | |
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gown | 21.3 | |
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travel | 20.4 | |
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tourism | 19.8 | |
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marble | 19.4 | |
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structure | 18.7 | |
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city | 18.3 | |
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culture | 17.9 | |
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groom | 17.1 | |
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temple | 17.1 | |
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facade | 16.7 | |
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door | 16.2 | |
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religious | 15.9 | |
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outerwear | 15.4 | |
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historical | 15.1 | |
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altar | 15 | |
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carving | 14.9 | |
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palace | 14.9 | |
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cathedral | 13.7 | |
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baroque | 13.7 | |
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tourist | 12.7 | |
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decoration | 12.3 | |
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memorial | 12.1 | |
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spirituality | 11.5 | |
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gold | 11.5 | |
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god | 11.5 | |
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antique | 11.5 | |
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detail | 11.3 | |
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wall | 11.2 | |
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arch | 11.2 | |
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entrance | 10.6 | |
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exterior | 10.1 | |
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interior | 9.7 | |
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heritage | 9.7 | |
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holy | 9.6 | |
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architectural | 9.6 | |
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attraction | 9.6 | |
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clothing | 9.5 | |
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catholic | 9.4 | |
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destination | 9.4 | |
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traditional | 9.1 | |
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vintage | 9.1 | |
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stucco | 8.9 | |
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artistic | 8.7 | |
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saint | 8.7 | |
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window | 8.6 | |
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house | 8.4 | |
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classic | 8.4 | |
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style | 8.2 | |
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symbol | 8.1 | |
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holiday | 7.9 | |
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statues | 7.9 | |
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fountain | 7.9 | |
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mythology | 7.9 | |
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catholicism | 7.9 | |
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golden | 7.7 | |
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outdoors | 7.5 | |
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Google
created on 2022-01-22
Suit trousers | 93.1 | |
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Picture frame | 92.6 | |
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Black-and-white | 85.1 | |
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Style | 84 | |
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Building | 79.7 | |
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Blazer | 78.1 | |
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Art | 78 | |
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Monochrome photography | 74.1 | |
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Monochrome | 73.6 | |
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Door | 72.9 | |
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Suit | 71.4 | |
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Formal wear | 70.7 | |
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Room | 66.2 | |
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Visual arts | 65.3 | |
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Facade | 64.7 | |
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Vintage clothing | 64.3 | |
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History | 63.8 | |
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Stock photography | 63.2 | |
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Collection | 57.6 | |
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Arch | 56.9 | |
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Microsoft
created on 2022-01-22
text | 99.1 | |
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clothing | 89 | |
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person | 81.9 | |
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white | 76.6 | |
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house | 68.4 | |
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man | 58.1 | |
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picture frame | 55.4 | |
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black and white | 52.6 | |
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store | 50.4 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18834385/277,376,46,61/full/0/native.jpg)
AWS Rekognition
Age | 28-38 |
Gender | Male, 98.9% |
Calm | 98% |
Sad | 0.7% |
Confused | 0.5% |
Surprised | 0.4% |
Disgusted | 0.1% |
Angry | 0.1% |
Happy | 0.1% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18834385/268,363,64,75/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18834385/216,344,173,608/full/0/native.jpg)
Person | 95.5% | |
|
Categories
Imagga
streetview architecture | 99.4% | |
|
Captions
Microsoft
created on 2022-01-22
a person standing in front of a store window | 57% | |
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a person standing in front of a store | 56.9% | |
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a person that is standing in front of a store window | 47.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18834385/68,757,159,81/full/0/native.jpg)
1834
![](https://ids.lib.harvard.edu/ids/iiif/18834385/230,0,95,27/full/0/native.jpg)
EESS
![](https://ids.lib.harvard.edu/ids/iiif/18834385/628,209,9,11/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/18834385/638,201,33,16/full/0/native.jpg)
Ankansas
![](https://ids.lib.harvard.edu/ids/iiif/18834385/633,537,43,18/full/0/native.jpg)
PENYSYLANA
![](https://ids.lib.harvard.edu/ids/iiif/18834385/611,198,60,29/full/0/native.jpg)
Tota of Ankansas
![](https://ids.lib.harvard.edu/ids/iiif/18834385/633,526,35,15/full/0/native.jpg)
UNIVERSITY
![](https://ids.lib.harvard.edu/ids/iiif/18834385/611,212,16,12/full/0/native.jpg)
Tota
![](https://ids.lib.harvard.edu/ids/iiif/18834385/344,7,31,7/full/0/native.jpg)
2066
![](https://ids.lib.harvard.edu/ids/iiif/18834385/634,780,24,20/full/0/native.jpg)
INTERNATION
![](https://ids.lib.harvard.edu/ids/iiif/18834385/37,675,206,80/full/0/native.jpg)
STAP
![](https://ids.lib.harvard.edu/ids/iiif/18834385/39,720,205,69/full/0/native.jpg)
ELCHOTECH
![](https://ids.lib.harvard.edu/ids/iiif/18834385/606,399,82,40/full/0/native.jpg)
MASKETWIG
![](https://ids.lib.harvard.edu/ids/iiif/18834385/324,6,106,8/full/0/native.jpg)
DELEMOCH 2066 DEL
![](https://ids.lib.harvard.edu/ids/iiif/18834385/637,328,11,6/full/0/native.jpg)
AWD
![](https://ids.lib.harvard.edu/ids/iiif/18834385/615,332,4,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18834385/615,328,32,7/full/0/native.jpg)
- Moun AWD
![](https://ids.lib.harvard.edu/ids/iiif/18834385/383,6,47,8/full/0/native.jpg)
DELEMOCH
![](https://ids.lib.harvard.edu/ids/iiif/18834385/622,329,13,6/full/0/native.jpg)
Moun
![](https://ids.lib.harvard.edu/ids/iiif/18834385/324,7,12,6/full/0/native.jpg)
DEL
![](https://ids.lib.harvard.edu/ids/iiif/18834385/652,327,11,6/full/0/native.jpg)
100
![](https://ids.lib.harvard.edu/ids/iiif/18834385/510,76,13,14/full/0/native.jpg)
FIAT
![](https://ids.lib.harvard.edu/ids/iiif/18834385/36,-2,656,843/full/0/native.jpg)
5533
MASKWIG
ACVERSTY
PENNSYLANA
Er.PAUL
ELCITUECHI
1834
![](https://ids.lib.harvard.edu/ids/iiif/18834385/229,-1,92,34/full/0/native.jpg)
5533
![](https://ids.lib.harvard.edu/ids/iiif/18834385/609,404,83,36/full/0/native.jpg)
MASKWIG
![](https://ids.lib.harvard.edu/ids/iiif/18834385/633,526,39,20/full/0/native.jpg)
ACVERSTY
![](https://ids.lib.harvard.edu/ids/iiif/18834385/630,540,50,16/full/0/native.jpg)
PENNSYLANA
![](https://ids.lib.harvard.edu/ids/iiif/18834385/36,685,211,70/full/0/native.jpg)
Er.PAUL
![](https://ids.lib.harvard.edu/ids/iiif/18834385/39,727,214,61/full/0/native.jpg)
ELCITUECHI
![](https://ids.lib.harvard.edu/ids/iiif/18834385/53,764,187,77/full/0/native.jpg)
1834