Machine Generated Data
Tags
Amazon
created on 2019-04-06
Clarifai
created on 2018-04-19
illustration | 100 | |
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100 | ||
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engraving | 99.9 | |
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art | 99.7 | |
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people | 99.6 | |
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etching | 99.4 | |
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woodcut | 99 | |
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chalk out | 98.5 | |
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man | 97.7 | |
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lithograph | 97.3 | |
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visuals | 96.6 | |
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painting | 96.4 | |
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vintage | 96.1 | |
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group | 95.8 | |
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caricature | 94.6 | |
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adult | 93.7 | |
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one | 93.3 | |
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watercraft | 92 | |
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ancient | 91.2 | |
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vertical | 90.9 | |
|
Imagga
created on 2018-04-19
Google
created on 2018-04-19
cartoon | 94.1 | |
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fauna | 93 | |
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mammal | 92.6 | |
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vertebrate | 90.4 | |
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text | 87.3 | |
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fictional character | 81.4 | |
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black and white | 77.8 | |
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art | 76.7 | |
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organism | 74.7 | |
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fiction | 73.9 | |
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illustration | 66.9 | |
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mythical creature | 64.5 | |
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font | 63.8 | |
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comics | 63.2 | |
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printmaking | 62.8 | |
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joint | 58.8 | |
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bird | 56 | |
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pattern | 51.8 | |
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history | 50.6 | |
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wing | 50.3 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20028613/508,487,22,28/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Male, 52.8% |
Disgusted | 46.7% |
Happy | 45.5% |
Confused | 45.8% |
Calm | 48.1% |
Sad | 47.9% |
Surprised | 45.4% |
Angry | 45.6% |
![](https://ids.lib.harvard.edu/ids/iiif/20028613/242,493,29,46/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Male, 54.6% |
Angry | 48.8% |
Confused | 46.1% |
Calm | 45.9% |
Happy | 45.1% |
Disgusted | 45.6% |
Sad | 48.1% |
Surprised | 45.3% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20028613/471,474,134,257/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20028613/164,457,254,420/full/0/native.jpg)
Person | 97.8% | |
|
Categories
Imagga
paintings art | 82.3% | |
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text visuals | 17.3% | |
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nature landscape | 0.2% | |
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streetview architecture | 0.1% | |
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Captions
Microsoft
created on 2018-04-19
a close up of a book | 55.3% | |
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close up of a book | 49.3% | |
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a close up of text on a book | 37.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20028613/650,91,119,37/full/0/native.jpg)
ABBAS
![](https://ids.lib.harvard.edu/ids/iiif/20028613/607,878,164,77/full/0/native.jpg)
Mart
![](https://ids.lib.harvard.edu/ids/iiif/20028613/388,925,67,32/full/0/native.jpg)
er.
![](https://ids.lib.harvard.edu/ids/iiif/20028613/61,879,100,78/full/0/native.jpg)
30.
![](https://ids.lib.harvard.edu/ids/iiif/20028613/576,43,195,40/full/0/native.jpg)
GLIMACVS
![](https://ids.lib.harvard.edu/ids/iiif/20028613/46,40,727,42/full/0/native.jpg)
S.IOANNES GLIMACVS
![](https://ids.lib.harvard.edu/ids/iiif/20028613/45,42,209,40/full/0/native.jpg)
S.IOANNES
![](https://ids.lib.harvard.edu/ids/iiif/20028613/60,878,710,80/full/0/native.jpg)
30. IFraeT Mart
![](https://ids.lib.harvard.edu/ids/iiif/20028613/279,908,114,50/full/0/native.jpg)
IFraeT
![](https://ids.lib.harvard.edu/ids/iiif/20028613/35,45,741,905/full/0/native.jpg)
SIOANNE
CLIMACVs
ABBAS
0
rael巳
![](https://ids.lib.harvard.edu/ids/iiif/20028613/35,45,199,43/full/0/native.jpg)
SIOANNE
![](https://ids.lib.harvard.edu/ids/iiif/20028613/577,46,199,40/full/0/native.jpg)
CLIMACVs
![](https://ids.lib.harvard.edu/ids/iiif/20028613/652,94,123,40/full/0/native.jpg)
ABBAS
![](https://ids.lib.harvard.edu/ids/iiif/20028613/118,894,30,35/full/0/native.jpg)
0
![](https://ids.lib.harvard.edu/ids/iiif/20028613/317,931,65,19/full/0/native.jpg)
rael
![](https://ids.lib.harvard.edu/ids/iiif/20028613/400,931,18,18/full/0/native.jpg)
巳