Machine Generated Data
Tags
Amazon
created on 2019-04-02
Clarifai
created on 2018-03-24
people | 99.6 | |
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99.2 | ||
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watercraft | 99 | |
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engraving | 97.8 | |
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vehicle | 97.7 | |
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no person | 97.4 | |
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transportation system | 95.6 | |
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group | 95.6 | |
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many | 93.9 | |
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military | 93.6 | |
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adult | 92.8 | |
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illustration | 91.9 | |
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ship | 90.7 | |
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art | 90.4 | |
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lithograph | 89.8 | |
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man | 89.2 | |
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water | 86.6 | |
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etching | 85.4 | |
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war | 85.1 | |
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warship | 81.8 | |
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Imagga
created on 2018-03-24
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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architecture | 29.7 | |
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city | 23.3 | |
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building | 23.2 | |
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tower | 21.5 | |
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grunge | 20.5 | |
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design | 19.7 | |
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old | 18.8 | |
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structure | 18.5 | |
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construction | 17.1 | |
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vintage | 16.6 | |
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sky | 16 | |
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travel | 14.8 | |
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retro | 14.8 | |
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art | 14.3 | |
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house | 14.2 | |
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silhouette | 14.1 | |
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scene | 13.9 | |
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landmark | 13.6 | |
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plan | 13.2 | |
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ancient | 13 | |
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landscape | 12.7 | |
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black | 12.6 | |
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tourism | 12.4 | |
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urban | 12.2 | |
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history | 11.6 | |
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antique | 11.3 | |
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paper | 11 | |
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business | 10.3 | |
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line | 10.3 | |
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culture | 10.3 | |
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frame | 10 | |
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element | 9.9 | |
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texture | 9.7 | |
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style | 9.6 | |
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pattern | 9.6 | |
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high | 9.5 | |
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old fashioned | 9.5 | |
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graphic | 9.5 | |
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winter | 9.4 | |
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wallpaper | 9.2 | |
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map | 9.2 | |
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historic | 9.2 | |
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snow | 9.1 | |
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symbol | 8.8 | |
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cold | 8.6 | |
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engineering | 8.6 | |
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tree | 8.5 | |
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energy | 8.4 | |
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outdoors | 8.2 | |
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rough | 8.2 | |
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shape | 8.2 | |
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dirty | 8.1 | |
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painting | 8.1 | |
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backgrounds | 8.1 | |
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idea | 8 | |
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forest | 7.8 | |
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skyline | 7.6 | |
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buildings | 7.6 | |
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power | 7.6 | |
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tall | 7.5 | |
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historical | 7.5 | |
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hill | 7.5 | |
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monument | 7.5 | |
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street | 7.4 | |
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water | 7.3 | |
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decoration | 7.2 | |
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office | 7.2 | |
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Google
created on 2018-03-24
naval ship | 94.1 | |
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watercraft | 86.2 | |
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sailing ship | 81.3 | |
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ship of the line | 81 | |
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black and white | 80.5 | |
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ship | 80.4 | |
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warship | 69.2 | |
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galiot | 68.7 | |
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fluyt | 67.8 | |
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galley | 66.5 | |
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sketch | 65.9 | |
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heavy cruiser | 65.3 | |
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history | 65 | |
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battleship | 63.6 | |
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galleon | 63.3 | |
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drawing | 59.3 | |
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artwork | 58.3 | |
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manila galleon | 57 | |
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torpedo boat | 55.8 | |
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frigate | 54.8 | |
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Microsoft
created on 2018-03-24
text | 91.6 | |
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linedrawing | 21 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/11312877/170,595,161,123/full/0/native.jpg)
AWS Rekognition
Age | 16-27 |
Gender | Male, 70.1% |
Calm | 4.7% |
Disgusted | 0.4% |
Surprised | 0.5% |
Angry | 3.2% |
Sad | 89.5% |
Happy | 0.7% |
Confused | 1% |
Feature analysis
Categories
Imagga
paintings art | 59.4% | |
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nature landscape | 15.2% | |
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text visuals | 12.6% | |
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cars vehicles | 7.8% | |
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streetview architecture | 2.6% | |
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beaches seaside | 1.8% | |
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food drinks | 0.5% | |
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Captions
Microsoft
created on 2018-03-24
a drawing of a book | 31.2% | |
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a close up of a book | 29.5% | |
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a drawing of a person | 29.4% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/11312877/773,673,45,19/full/0/native.jpg)
Regis
![](https://ids.lib.harvard.edu/ids/iiif/11312877/421,653,34,21/full/0/native.jpg)
della
![](https://ids.lib.harvard.edu/ids/iiif/11312877/456,654,37,21/full/0/native.jpg)
Bella
![](https://ids.lib.harvard.edu/ids/iiif/11312877/389,655,33,21/full/0/native.jpg)
Stef.
![](https://ids.lib.harvard.edu/ids/iiif/11312877/736,673,38,17/full/0/native.jpg)
Prin
![](https://ids.lib.harvard.edu/ids/iiif/11312877/389,653,205,24/full/0/native.jpg)
Stef. della Bella florentinus feeat
![](https://ids.lib.harvard.edu/ids/iiif/11312877/619,675,87,17/full/0/native.jpg)
Giartresexcud
![](https://ids.lib.harvard.edu/ids/iiif/11312877/491,655,73,22/full/0/native.jpg)
florentinus
![](https://ids.lib.harvard.edu/ids/iiif/11312877/618,674,199,20/full/0/native.jpg)
Giartresexcud uin Prin Regis
![](https://ids.lib.harvard.edu/ids/iiif/11312877/558,656,36,19/full/0/native.jpg)
feeat
![](https://ids.lib.harvard.edu/ids/iiif/11312877/711,674,28,16/full/0/native.jpg)
uin
![](https://ids.lib.harvard.edu/ids/iiif/11312877/392,650,422,60/full/0/native.jpg)
Sigf, dela Bella fltGiartras gxeud toni Prin Regi
lorentimus feert
![](https://ids.lib.harvard.edu/ids/iiif/11312877/392,650,34,36/full/0/native.jpg)
Sigf,
![](https://ids.lib.harvard.edu/ids/iiif/11312877/425,652,31,35/full/0/native.jpg)
dela
![](https://ids.lib.harvard.edu/ids/iiif/11312877/460,654,36,36/full/0/native.jpg)
Bella
![](https://ids.lib.harvard.edu/ids/iiif/11312877/495,656,178,45/full/0/native.jpg)
fltGiartras
![](https://ids.lib.harvard.edu/ids/iiif/11312877/671,667,41,36/full/0/native.jpg)
gxeud
![](https://ids.lib.harvard.edu/ids/iiif/11312877/712,670,31,35/full/0/native.jpg)
toni
![](https://ids.lib.harvard.edu/ids/iiif/11312877/742,672,31,35/full/0/native.jpg)
Prin
![](https://ids.lib.harvard.edu/ids/iiif/11312877/778,674,36,36/full/0/native.jpg)
Regi
![](https://ids.lib.harvard.edu/ids/iiif/11312877/495,664,69,15/full/0/native.jpg)
lorentimus
![](https://ids.lib.harvard.edu/ids/iiif/11312877/564,664,27,15/full/0/native.jpg)
feert