Machine Generated Data
Tags
Clarifai
created on 2019-08-07
Imagga
created on 2019-08-07
art | 23.9 | |
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money | 23 | |
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portrait | 22.6 | |
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jigsaw puzzle | 22.5 | |
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currency | 22.4 | |
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mosaic | 22 | |
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cash | 19.2 | |
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puzzle | 19.2 | |
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face | 17.8 | |
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close | 17.7 | |
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banking | 16.6 | |
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bill | 16.2 | |
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dollar | 15.8 | |
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man | 14.9 | |
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people | 13.9 | |
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person | 13.6 | |
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finance | 13.5 | |
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game | 13.4 | |
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financial | 13.4 | |
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creation | 12.9 | |
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culture | 12.8 | |
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decoration | 12.8 | |
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one | 12.7 | |
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banknote | 12.6 | |
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sand | 12.6 | |
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fashion | 12.1 | |
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male | 12.1 | |
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sexy | 12 | |
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paper | 11.8 | |
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sculpture | 11.8 | |
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wealth | 11.7 | |
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bank | 11.7 | |
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vintage | 11.6 | |
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closeup | 11.5 | |
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water | 11.3 | |
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body | 11.2 | |
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attractive | 11.2 | |
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statue | 11.2 | |
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sensual | 10.9 | |
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hair | 10.3 | |
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soil | 9.9 | |
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old | 9.8 | |
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book jacket | 9.6 | |
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brunette | 9.6 | |
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exchange | 9.5 | |
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savings | 9.3 | |
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head | 9.2 | |
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business | 9.1 | |
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pretty | 9.1 | |
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religion | 9 | |
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banknotes | 8.8 | |
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swim | 8.7 | |
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payment | 8.7 | |
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ancient | 8.6 | |
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swimming | 8.6 | |
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feminine | 8.4 | |
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economy | 8.3 | |
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fountain | 8.3 | |
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lady | 8.1 | |
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love | 7.9 | |
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us | 7.7 | |
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skin | 7.7 | |
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pool | 7.7 | |
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youth | 7.7 | |
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god | 7.7 | |
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erotic | 7.6 | |
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human | 7.5 | |
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jacket | 7.5 | |
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famous | 7.4 | |
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note | 7.4 | |
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investment | 7.3 | |
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detail | 7.2 | |
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holiday | 7.2 | |
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earth | 7.2 | |
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wet | 7.2 | |
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smile | 7.1 | |
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child | 7.1 | |
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figure | 7 | |
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Google
created on 2019-08-07
Head | 89.5 | |
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Art | 88.7 | |
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Facial hair | 87.6 | |
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Nose | 87 | |
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Chin | 82.8 | |
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Portrait | 82.6 | |
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Forehead | 82.2 | |
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Cheek | 79.9 | |
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Drawing | 78.9 | |
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Self-portrait | 76.1 | |
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Human | 75.9 | |
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Visual arts | 73.9 | |
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Beard | 69.2 | |
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Painting | 68.1 | |
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Figure drawing | 67.8 | |
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Sketch | 66 | |
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Jaw | 63 | |
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Monochrome | 60.1 | |
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Illustration | 57.7 | |
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Artwork | 53.4 | |
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Microsoft
created on 2019-08-07
sketch | 99.2 | |
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drawing | 99.2 | |
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book | 98.5 | |
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text | 98.1 | |
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illustration | 91.8 | |
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human face | 91.1 | |
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painting | 89.1 | |
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person | 69.5 | |
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art | 54.8 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/9255839/81,172,216,339/full/0/native.jpg)
AWS Rekognition
Age | 49-69 |
Gender | Male, 55.3% |
Calm | 15.9% |
Angry | 2.6% |
Sad | 65.4% |
Happy | 10.5% |
Disgusted | 0.7% |
Surprised | 1.7% |
Confused | 3.3% |
![](https://ids.lib.harvard.edu/ids/iiif/9255839/515,159,212,367/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 61.9% |
Angry | 10.1% |
Calm | 5.5% |
Happy | 9.4% |
Confused | 4.2% |
Sad | 66.6% |
Disgusted | 1.7% |
Surprised | 2.6% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/9255839/3,0,1019,765/full/0/native.jpg)
Painting | 89.3% | |
|
Categories
Imagga
pets animals | 98.5% | |
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paintings art | 1.5% | |
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Captions
Microsoft
created on 2019-08-07
a close up of a book | 29.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/9255839/944,20,52,32/full/0/native.jpg)
Perrn
![](https://ids.lib.harvard.edu/ids/iiif/9255839/888,46,53,23/full/0/native.jpg)
/FS
![](https://ids.lib.harvard.edu/ids/iiif/9255839/875,13,122,35/full/0/native.jpg)
J.stollor Perrn
![](https://ids.lib.harvard.edu/ids/iiif/9255839/875,18,73,21/full/0/native.jpg)
J.stollor
![](https://ids.lib.harvard.edu/ids/iiif/9255839/880,21,109,53/full/0/native.jpg)
e.1lar er
hot
![](https://ids.lib.harvard.edu/ids/iiif/9255839/880,21,72,28/full/0/native.jpg)
e.1lar
![](https://ids.lib.harvard.edu/ids/iiif/9255839/953,26,36,26/full/0/native.jpg)
er
![](https://ids.lib.harvard.edu/ids/iiif/9255839/893,49,50,25/full/0/native.jpg)
hot