Machine Generated Data
Tags
Amazon
created on 2019-07-08
Clarifai
created on 2019-07-08
Imagga
created on 2019-07-08
map | 38.7 | |
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sketch | 38.4 | |
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drawing | 35.8 | |
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comic book | 30.8 | |
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geography | 26 | |
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world | 25.7 | |
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atlas | 25.1 | |
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antique | 23.5 | |
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representation | 22.5 | |
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globe | 22.3 | |
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envelope | 21.7 | |
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vintage | 21.5 | |
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route | 21.5 | |
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old | 20.2 | |
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location | 19.6 | |
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country | 19.5 | |
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sepia | 19.5 | |
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continent | 19.5 | |
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travel | 19.1 | |
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capital | 19 | |
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nation | 19 | |
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plan | 18.9 | |
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navigate | 18.7 | |
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navigation | 18.3 | |
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planet | 18.3 | |
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direction | 18.1 | |
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road | 18.1 | |
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boundary | 16.8 | |
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guide | 16.7 | |
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discovery | 16.6 | |
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states | 16.5 | |
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wallpaper | 16.1 | |
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journey | 16 | |
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city | 15.8 | |
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geographic | 15.8 | |
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expedition | 15.8 | |
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book jacket | 15.8 | |
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find | 15.7 | |
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position | 15.7 | |
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cartoon | 15.2 | |
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explore | 14.7 | |
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tour | 14.5 | |
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grunge | 14.5 | |
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tourism | 14.1 | |
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gold | 13.2 | |
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river | 12.9 | |
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paper | 12.6 | |
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design | 12.6 | |
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state | 12.5 | |
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print media | 12.3 | |
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jacket | 12.3 | |
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container | 12.2 | |
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clip art | 12.1 | |
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dutch | 11.7 | |
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art | 11.5 | |
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decoration | 11.5 | |
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man | 10.8 | |
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path | 10.4 | |
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stream | 10.2 | |
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body of water | 9.6 | |
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graffito | 9.4 | |
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wrapping | 9.3 | |
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retro | 9 | |
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symbol | 8.8 | |
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money | 8.5 | |
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business | 8.5 | |
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global | 8.2 | |
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graphic | 8 | |
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holiday | 7.9 | |
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texture | 7.7 | |
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pattern | 7.5 | |
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love | 7.1 | |
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stamp | 7 | |
|
Google
created on 2019-07-08
Black hair | 88.2 | |
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Hairstyle | 87.6 | |
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Illustration | 87.4 | |
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Geisha | 85.4 | |
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Cartoon | 82 | |
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Shimada | 79.5 | |
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Art | 70.9 | |
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Fiction | 57 | |
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Microsoft
created on 2019-07-08
text | 99.9 | |
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book | 99.3 | |
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cartoon | 99.3 | |
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drawing | 99.2 | |
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illustration | 97.3 | |
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sketch | 95.9 | |
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human face | 89.1 | |
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child art | 83.4 | |
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handwriting | 79.7 | |
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art | 75.3 | |
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poster | 72.6 | |
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painting | 72.2 | |
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person | 56.7 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18723922/338,676,153,233/full/0/native.jpg)
AWS Rekognition
Age | 19-36 |
Gender | Female, 52.4% |
Happy | 16.8% |
Angry | 7.3% |
Surprised | 26.3% |
Calm | 16.9% |
Sad | 5.1% |
Disgusted | 6.6% |
Confused | 21% |
![](https://ids.lib.harvard.edu/ids/iiif/18723922/254,221,192,251/full/0/native.jpg)
AWS Rekognition
Age | 17-27 |
Gender | Male, 93.3% |
Angry | 1.1% |
Sad | 90.4% |
Confused | 2% |
Disgusted | 3.4% |
Surprised | 2.2% |
Happy | 0.3% |
Calm | 0.7% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18723922/149,495,504,522/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18723922/9,171,595,794/full/0/native.jpg)
Person | 76.2% | |
|
Categories
Imagga
paintings art | 100% | |
|
Captions
Microsoft
created on 2019-07-08
a close up of a book | 48.3% | |
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close up of a book | 42.7% | |
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a close up of a book cover | 42.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18723922/627,247,33,29/full/0/native.jpg)
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