Machine Generated Data
Tags
Clarifai
created on 2019-11-04
Imagga
created on 2019-11-04
statue | 100 | |
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sculpture | 59.2 | |
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monument | 35.5 | |
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architecture | 32.4 | |
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art | 32.2 | |
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ancient | 30.3 | |
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stone | 28.7 | |
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old | 27.2 | |
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religion | 26.9 | |
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history | 26.9 | |
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travel | 24.7 | |
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landmark | 24.4 | |
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column | 23.9 | |
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marble | 23.6 | |
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city | 23.3 | |
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tourism | 22.3 | |
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god | 20.1 | |
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detail | 19.3 | |
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historic | 19.3 | |
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carving | 19 | |
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culture | 18.8 | |
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religious | 18.8 | |
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figure | 18.7 | |
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sketch | 18.6 | |
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historical | 17.9 | |
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famous | 17.7 | |
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roman | 16.8 | |
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saint | 16.4 | |
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building | 15.9 | |
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church | 15.7 | |
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catholic | 15.6 | |
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angel | 14.7 | |
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antique | 13.9 | |
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tourist | 13.6 | |
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pedestal | 13.6 | |
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holy | 13.5 | |
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drawing | 13.5 | |
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symbol | 12.8 | |
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sky | 12.8 | |
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representation | 11.5 | |
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bronze | 11.5 | |
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faith | 10.5 | |
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capital | 10.5 | |
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statues | 9.9 | |
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museum | 9.8 | |
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king | 9.7 | |
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support | 9.2 | |
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temple | 8.9 | |
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carved | 8.8 | |
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heritage | 8.7 | |
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holiday | 8.6 | |
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attraction | 8.6 | |
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cross | 8.5 | |
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town | 8.4 | |
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exterior | 8.3 | |
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fountain | 8 | |
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cathedral | 8 | |
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decoration | 8 | |
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spiritual | 7.7 | |
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spirituality | 7.7 | |
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outdoor | 7.7 | |
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square | 7.2 | |
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face | 7.1 | |
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supporting structure | 7.1 | |
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Google
created on 2019-11-04
Painting | 75 | |
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Art | 74 | |
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Illustration | 70.1 | |
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Drawing | 65.2 | |
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Costume design | 57.1 | |
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Prophet | 54.2 | |
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Artwork | 51.1 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20421726/269,123,80,123/full/0/native.jpg)
AWS Rekognition
Age | 37-55 |
Gender | Male, 83.5% |
Calm | 31.1% |
Fear | 9.5% |
Angry | 44.5% |
Disgusted | 1.7% |
Sad | 9% |
Confused | 0.9% |
Surprised | 2.4% |
Happy | 1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20421726/161,102,428,853/full/0/native.jpg)
Person | 88.1% | |
|
Categories
Imagga
paintings art | 100% | |
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Captions
Microsoft
created on 2019-11-04
a close up of a book | 63.8% | |
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close up of a book | 58.8% | |
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a hand holding a book | 58.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20421726/399,959,68,27/full/0/native.jpg)
Mar
![](https://ids.lib.harvard.edu/ids/iiif/20421726/50,894,95,29/full/0/native.jpg)
Rafacl
![](https://ids.lib.harvard.edu/ids/iiif/20421726/475,948,76,34/full/0/native.jpg)
Anhon
![](https://ids.lib.harvard.edu/ids/iiif/20421726/398,949,221,39/full/0/native.jpg)
Mar Anhon omev fer
![](https://ids.lib.harvard.edu/ids/iiif/20421726/524,958,58,21/full/0/native.jpg)
omev
![](https://ids.lib.harvard.edu/ids/iiif/20421726/582,950,38,34/full/0/native.jpg)
fer
![](https://ids.lib.harvard.edu/ids/iiif/20421726/56,899,552,93/full/0/native.jpg)
Rafacl
Mare Andom f
![](https://ids.lib.harvard.edu/ids/iiif/20421726/56,899,91,31/full/0/native.jpg)
Rafacl
![](https://ids.lib.harvard.edu/ids/iiif/20421726/403,958,70,32/full/0/native.jpg)
Mare
![](https://ids.lib.harvard.edu/ids/iiif/20421726/475,952,86,40/full/0/native.jpg)
Andom
![](https://ids.lib.harvard.edu/ids/iiif/20421726/578,951,30,36/full/0/native.jpg)
f