Machine Generated Data
Tags
Amazon
created on 2019-11-09
Person | 96.7 | |
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Human | 96.7 | |
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Art | 93.6 | |
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Painting | 90.6 | |
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Person | 78.7 | |
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Advertisement | 75.9 | |
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Poster | 75.9 | |
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Text | 68.2 | |
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Drawing | 55.1 | |
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Archaeology | 55.1 | |
|
Clarifai
created on 2019-11-09
Imagga
created on 2019-11-09
sketch | 48.4 | |
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drawing | 39.3 | |
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architecture | 31.4 | |
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representation | 31.3 | |
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sculpture | 27.3 | |
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building | 27.2 | |
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art | 26 | |
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decoration | 25.4 | |
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history | 25 | |
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old | 23.7 | |
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book jacket | 21.2 | |
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ancient | 20.8 | |
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church | 20.3 | |
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statue | 20.2 | |
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tourism | 19.8 | |
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graffito | 19.8 | |
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religion | 19.7 | |
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landmark | 19 | |
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monument | 18.7 | |
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city | 18.3 | |
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stone | 18.1 | |
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culture | 17.9 | |
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historical | 17.9 | |
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famous | 17.7 | |
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detail | 16.9 | |
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jacket | 16.5 | |
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wall | 16.5 | |
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travel | 16.2 | |
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marble | 15.8 | |
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newspaper | 15.3 | |
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historic | 14.7 | |
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structure | 14.3 | |
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vintage | 14.1 | |
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antique | 14 | |
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god | 13.4 | |
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religious | 13.1 | |
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arch | 13.1 | |
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wrapping | 12.5 | |
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window | 12.1 | |
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product | 12.1 | |
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creation | 12 | |
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facade | 12 | |
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covering | 10.5 | |
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temple | 9.9 | |
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roman | 9.8 | |
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daily | 9.6 | |
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architectural | 9.6 | |
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column | 9.6 | |
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symbol | 9.4 | |
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house | 9.3 | |
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tourist | 9.1 | |
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carving | 9 | |
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cathedral | 8.7 | |
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golden | 8.6 | |
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construction | 8.6 | |
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details | 8.5 | |
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decorative | 8.4 | |
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statues | 7.9 | |
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museum | 7.9 | |
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baroque | 7.8 | |
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balcony | 7.7 | |
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holy | 7.7 | |
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spiritual | 7.7 | |
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buildings | 7.6 | |
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destination | 7.5 | |
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letter | 7.3 | |
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figure | 7.3 | |
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fountain | 7.1 | |
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paper | 7.1 | |
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glass | 7 | |
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Google
created on 2019-11-09
Text | 92.2 | |
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Illustration | 89 | |
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Art | 82.2 | |
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Painting | 76.1 | |
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Visual arts | 73.1 | |
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Paper | 72.3 | |
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Room | 65.7 | |
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History | 64.5 | |
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Paper product | 63.3 | |
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Stock photography | 62.1 | |
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Drawing | 62 | |
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Vintage clothing | 55.9 | |
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Antique | 53 | |
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Picture frame | 51.9 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20490115/355,432,25,28/full/0/native.jpg)
AWS Rekognition
Age | 4-12 |
Gender | Male, 50.9% |
Calm | 46.1% |
Happy | 53.9% |
Disgusted | 45% |
Surprised | 45% |
Sad | 45% |
Angry | 45% |
Fear | 45% |
Confused | 45% |
Feature analysis
Categories
Imagga
streetview architecture | 61.2% | |
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paintings art | 38.5% | |
|
Captions
Microsoft
created on 2019-11-09
a vintage photo of a cat | 75.8% | |
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a black and white photo of a cat | 62.8% | |
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an old photo of a cat | 62.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20490115/127,772,51,20/full/0/native.jpg)
uand
![](https://ids.lib.harvard.edu/ids/iiif/20490115/256,769,71,23/full/0/native.jpg)
Georges,
![](https://ids.lib.harvard.edu/ids/iiif/20490115/371,765,50,19/full/0/native.jpg)
fallait
![](https://ids.lib.harvard.edu/ids/iiif/20490115/192,793,41,18/full/0/native.jpg)
fort.
![](https://ids.lib.harvard.edu/ids/iiif/20490115/101,794,66,24/full/0/native.jpg)
frapper
![](https://ids.lib.harvard.edu/ids/iiif/20490115/425,771,31,17/full/0/native.jpg)
pas
![](https://ids.lib.harvard.edu/ids/iiif/20490115/346,772,22,13/full/0/native.jpg)
ne
![](https://ids.lib.harvard.edu/ids/iiif/20490115/101,770,23,19/full/0/native.jpg)
Et
![](https://ids.lib.harvard.edu/ids/iiif/20490115/172,794,15,16/full/0/native.jpg)
si
![](https://ids.lib.harvard.edu/ids/iiif/20490115/101,787,338,30/full/0/native.jpg)
frapper si fort. E'mile.
![](https://ids.lib.harvard.edu/ids/iiif/20490115/329,766,15,19/full/0/native.jpg)
il
![](https://ids.lib.harvard.edu/ids/iiif/20490115/100,768,357,26/full/0/native.jpg)
Et uand c'eut ete Georges, il ne fallait pas
![](https://ids.lib.harvard.edu/ids/iiif/20490115/130,750,26,16/full/0/native.jpg)
det,
![](https://ids.lib.harvard.edu/ids/iiif/20490115/395,808,43,15/full/0/native.jpg)
E'mile.
![](https://ids.lib.harvard.edu/ids/iiif/20490115/184,773,41,14/full/0/native.jpg)
c'eut
![](https://ids.lib.harvard.edu/ids/iiif/20490115/433,748,30,12/full/0/native.jpg)
eCer
![](https://ids.lib.harvard.edu/ids/iiif/20490115/74,750,390,16/full/0/native.jpg)
Har Tlier det, eCer
![](https://ids.lib.harvard.edu/ids/iiif/20490115/101,751,26,15/full/0/native.jpg)
Tlier
![](https://ids.lib.harvard.edu/ids/iiif/20490115/74,752,27,14/full/0/native.jpg)
Har
![](https://ids.lib.harvard.edu/ids/iiif/20490115/228,769,27,18/full/0/native.jpg)
ete
![](https://ids.lib.harvard.edu/ids/iiif/20490115/81,746,379,84/full/0/native.jpg)
হ
fall ait pas
Mariller del
Et quand c'eut été Georges, il
frapper si fort.
ne
Emile
![](https://ids.lib.harvard.edu/ids/iiif/20490115/427,746,22,22/full/0/native.jpg)
হ
![](https://ids.lib.harvard.edu/ids/iiif/20490115/378,767,27,23/full/0/native.jpg)
fall
![](https://ids.lib.harvard.edu/ids/iiif/20490115/403,770,22,18/full/0/native.jpg)
ait
![](https://ids.lib.harvard.edu/ids/iiif/20490115/430,773,30,23/full/0/native.jpg)
pas
![](https://ids.lib.harvard.edu/ids/iiif/20490115/81,752,52,19/full/0/native.jpg)
Mariller
![](https://ids.lib.harvard.edu/ids/iiif/20490115/132,752,22,18/full/0/native.jpg)
del
![](https://ids.lib.harvard.edu/ids/iiif/20490115/105,775,21,18/full/0/native.jpg)
Et
![](https://ids.lib.harvard.edu/ids/iiif/20490115/132,774,49,23/full/0/native.jpg)
quand
![](https://ids.lib.harvard.edu/ids/iiif/20490115/188,777,38,14/full/0/native.jpg)
c'eut
![](https://ids.lib.harvard.edu/ids/iiif/20490115/232,774,26,17/full/0/native.jpg)
été
![](https://ids.lib.harvard.edu/ids/iiif/20490115/261,772,73,24/full/0/native.jpg)
Georges,
![](https://ids.lib.harvard.edu/ids/iiif/20490115/335,771,11,18/full/0/native.jpg)
il
![](https://ids.lib.harvard.edu/ids/iiif/20490115/106,795,65,28/full/0/native.jpg)
frapper
![](https://ids.lib.harvard.edu/ids/iiif/20490115/175,797,16,17/full/0/native.jpg)
si
![](https://ids.lib.harvard.edu/ids/iiif/20490115/196,794,41,21/full/0/native.jpg)
fort.
![](https://ids.lib.harvard.edu/ids/iiif/20490115/352,777,20,11/full/0/native.jpg)
ne
![](https://ids.lib.harvard.edu/ids/iiif/20490115/399,808,40,22/full/0/native.jpg)
Emile