Machine Generated Data
Tags
Clarifai
created on 2023-10-12
Imagga
created on 2022-10-25
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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portrait | 27.2 | |
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face | 24.2 | |
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money | 17.9 | |
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close | 16.6 | |
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currency | 16.2 | |
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man | 16.1 | |
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head | 15.1 | |
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art | 14.4 | |
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dollar | 13.9 | |
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cash | 13.7 | |
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person | 13.6 | |
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adult | 13.6 | |
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human | 13.5 | |
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male | 13.5 | |
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people | 13.4 | |
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bill | 13.3 | |
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banking | 12.9 | |
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black | 12.6 | |
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closeup | 12.1 | |
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hair | 11.9 | |
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statue | 11.4 | |
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eyes | 11.2 | |
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old | 11.1 | |
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energy | 10.9 | |
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model | 10.9 | |
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bank | 10.8 | |
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smile | 10.7 | |
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spa | 9.9 | |
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one | 9.7 | |
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sculpture | 9.7 | |
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look | 9.6 | |
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paper | 9.4 | |
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expression | 9.4 | |
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skin | 9.3 | |
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finance | 9.3 | |
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business | 9.1 | |
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fantasy | 9 | |
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franklin | 8.9 | |
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body | 8.8 | |
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ancient | 8.6 | |
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attractive | 8.4 | |
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relaxation | 8.4 | |
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financial | 8 | |
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banknotes | 7.8 | |
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banknote | 7.8 | |
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hundred | 7.8 | |
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us | 7.7 | |
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pretty | 7.7 | |
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payment | 7.7 | |
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fashion | 7.5 | |
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pattern | 7.5 | |
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style | 7.4 | |
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detail | 7.2 | |
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sexy | 7.2 | |
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wealth | 7.2 | |
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wet | 7.2 | |
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Google
created on 2022-10-25
Forehead | 98.5 | |
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Nose | 98.4 | |
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Eyebrow | 93.8 | |
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Beard | 90.7 | |
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Jaw | 88.2 | |
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Neck | 87.4 | |
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Facial hair | 84.9 | |
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Art | 84.4 | |
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Self-portrait | 74.3 | |
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Drawing | 70.7 | |
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No expression | 70.4 | |
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Illustration | 70.2 | |
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Moustache | 69.1 | |
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Font | 68.5 | |
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Visual arts | 68.3 | |
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Line art | 65.7 | |
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Sketch | 63.1 | |
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Artwork | 62.2 | |
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Painting | 61.9 | |
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Figure drawing | 60.6 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/495520564/353,976,707,1020/full/0/native.jpg)
AWS Rekognition
Age | 26-36 |
Gender | Male, 99.6% |
Fear | 54.8% |
Calm | 38.7% |
Surprised | 7.4% |
Disgusted | 5.5% |
Angry | 4.8% |
Sad | 2.8% |
Confused | 1.6% |
Happy | 1.1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/495520564/49,811,1565,1589/full/0/native.jpg)
Person | 95.8% | |
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Categories
Imagga
paintings art | 58% | |
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pets animals | 37.2% | |
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people portraits | 3.1% | |
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Captions
Microsoft
created on 2022-10-25
a close up of a book | 31.3% | |
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close up of a book | 25.9% | |
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a person with a book | 25.8% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1459,2405,103,45/full/0/native.jpg)
10/10
![](https://ids.lib.harvard.edu/ids/iiif/495520564/328,2394,134,70/full/0/native.jpg)
love
![](https://ids.lib.harvard.edu/ids/iiif/495520564/947,2326,189,82/full/0/native.jpg)
people
![](https://ids.lib.harvard.edu/ids/iiif/495520564/514,2326,187,84/full/0/native.jpg)
shops
![](https://ids.lib.harvard.edu/ids/iiif/495520564/136,2396,150,80/full/0/native.jpg)
They
![](https://ids.lib.harvard.edu/ids/iiif/495520564/144,2324,179,74/full/0/native.jpg)
Those
![](https://ids.lib.harvard.edu/ids/iiif/495520564/144,2318,993,92/full/0/native.jpg)
Those pawn shops cheat people
![](https://ids.lib.harvard.edu/ids/iiif/495520564/757,2318,181,82/full/0/native.jpg)
cheat
![](https://ids.lib.harvard.edu/ids/iiif/495520564/328,2346,167,60/full/0/native.jpg)
pawn
![](https://ids.lib.harvard.edu/ids/iiif/495520564/136,2369,1426,117/full/0/native.jpg)
They love our community, don't they? 10/10
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1172,2369,216,117/full/0/native.jpg)
they?
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1026,2392,138,74/full/0/native.jpg)
don't
![](https://ids.lib.harvard.edu/ids/iiif/495520564/501,2417,103,45/full/0/native.jpg)
our
![](https://ids.lib.harvard.edu/ids/iiif/495520564/627,2388,373,97/full/0/native.jpg)
community,
![](https://ids.lib.harvard.edu/ids/iiif/495520564/80,2191,19,17/full/0/native.jpg)
*
![](https://ids.lib.harvard.edu/ids/iiif/495520564/507,2306,215,136/full/0/native.jpg)
shops
![](https://ids.lib.harvard.edu/ids/iiif/495520564/705,2316,47,128/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/495520564/752,2319,203,135/full/0/native.jpg)
chent
![](https://ids.lib.harvard.edu/ids/iiif/495520564/938,2327,210,136/full/0/native.jpg)
people
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1167,2339,163,134/full/0/native.jpg)
they
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1293,2345,77,129/full/0/native.jpg)
?
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1330,2347,68,129/full/0/native.jpg)
..
![](https://ids.lib.harvard.edu/ids/iiif/495520564/140,2397,161,81/full/0/native.jpg)
They
![](https://ids.lib.harvard.edu/ids/iiif/495520564/330,2399,137,80/full/0/native.jpg)
love
![](https://ids.lib.harvard.edu/ids/iiif/495520564/500,2401,113,80/full/0/native.jpg)
one
![](https://ids.lib.harvard.edu/ids/iiif/495520564/629,2402,155,81/full/0/native.jpg)
comm
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1457,2407,111,46/full/0/native.jpg)
10/10
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1869,2349,130,128/full/0/native.jpg)
مراسل
![](https://ids.lib.harvard.edu/ids/iiif/495520564/1727,2354,116,127/full/0/native.jpg)
الليل
![](https://ids.lib.harvard.edu/ids/iiif/495520564/80,2191,1919,323/full/0/native.jpg)
*
Those pawn shops. chent people they?..
They love one comm
10/10
مراسل الليل
![](https://ids.lib.harvard.edu/ids/iiif/495520564/138,2288,197,135/full/0/native.jpg)
Those
![](https://ids.lib.harvard.edu/ids/iiif/495520564/331,2297,171,134/full/0/native.jpg)
pawn