Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
sketch | 55.3 | |
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drawing | 41.8 | |
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money | 39.2 | |
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currency | 37.7 | |
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representation | 36.3 | |
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paper | 33 | |
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cash | 32.1 | |
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dollar | 28.8 | |
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finance | 25.4 | |
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bank | 25.1 | |
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old | 23.7 | |
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banking | 22.1 | |
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vintage | 21.5 | |
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dollars | 19.3 | |
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wealth | 18.9 | |
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business | 18.2 | |
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antique | 18.2 | |
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ancient | 18.2 | |
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financial | 17.8 | |
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savings | 17.7 | |
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retro | 17.2 | |
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bill | 17.1 | |
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book jacket | 16.6 | |
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pay | 16.3 | |
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investment | 15.6 | |
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exchange | 15.3 | |
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history | 15.2 | |
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art | 14.9 | |
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bills | 14.6 | |
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banknote | 14.6 | |
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note | 13.8 | |
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economy | 13 | |
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jacket | 12.9 | |
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stamp | 12.8 | |
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grunge | 12.8 | |
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payment | 12.5 | |
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close | 12 | |
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texture | 11.8 | |
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banknotes | 11.8 | |
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envelope | 11.7 | |
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map | 11.5 | |
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rich | 11.2 | |
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letter | 11 | |
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postmark | 10.8 | |
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hundred | 10.7 | |
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travel | 10.6 | |
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10.5 | ||
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one | 10.5 | |
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global | 10 | |
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postage | 9.8 | |
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wrapping | 9.8 | |
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market | 9.8 | |
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us | 9.6 | |
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covering | 9.6 | |
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notes | 9.6 | |
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loan | 9.6 | |
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profit | 9.6 | |
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stone | 9.4 | |
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design | 9.2 | |
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collection | 9 | |
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architecture | 9 | |
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twenty | 8.9 | |
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salary | 8.8 | |
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postal | 8.8 | |
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symbol | 8.8 | |
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world | 8.7 | |
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historic | 8.3 | |
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aged | 8.1 | |
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structure | 7.9 | |
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philately | 7.9 | |
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20 | 7.9 | |
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pound | 7.7 | |
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trade | 7.7 | |
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post | 7.6 | |
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capital | 7.6 | |
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pattern | 7.5 | |
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sign | 7.5 | |
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pile | 7.5 | |
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number | 7.5 | |
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backdrop | 7.4 | |
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decoration | 7.4 | |
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success | 7.2 | |
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temple | 7.2 | |
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religion | 7.2 | |
|
Google
created on 2022-01-22
Art | 81.4 | |
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Painting | 80.1 | |
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Building | 79.7 | |
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Font | 76.4 | |
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Illustration | 70.9 | |
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Drawing | 70.6 | |
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Visual arts | 68.9 | |
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Printmaking | 66.7 | |
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History | 65.8 | |
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Tower | 65.5 | |
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Stock photography | 62.8 | |
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Paper product | 62.8 | |
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Paper | 60.4 | |
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Wood | 55.8 | |
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Line art | 55.2 | |
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Rectangle | 54.9 | |
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Holy places | 54.2 | |
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Artwork | 53.2 | |
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Tree | 51.9 | |
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Sketch | 51.6 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824531/205,799,22,26/full/0/native.jpg)
AWS Rekognition
Age | 20-28 |
Gender | Female, 96.5% |
Calm | 93.7% |
Surprised | 2.7% |
Sad | 1.8% |
Angry | 0.8% |
Confused | 0.3% |
Disgusted | 0.3% |
Happy | 0.2% |
Fear | 0.2% |
Feature analysis
Categories
Imagga
streetview architecture | 98% | |
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paintings art | 1.9% | |
|
Captions
Microsoft
created on 2022-01-22
a close up of a book | 38.1% | |
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close up of a book | 33.2% | |
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a hand holding a book | 33.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824531/435,82,90,35/full/0/native.jpg)
DIES
![](https://ids.lib.harvard.edu/ids/iiif/18824531/435,77,233,41/full/0/native.jpg)
DIES IRAE
![](https://ids.lib.harvard.edu/ids/iiif/18824531/566,78,102,37/full/0/native.jpg)
IRAE
![](https://ids.lib.harvard.edu/ids/iiif/18824531/168,83,62,34/full/0/native.jpg)
29
![](https://ids.lib.harvard.edu/ids/iiif/18824531/54,81,176,44/full/0/native.jpg)
OCT 29
![](https://ids.lib.harvard.edu/ids/iiif/18824531/54,86,96,30/full/0/native.jpg)
OCT
![](https://ids.lib.harvard.edu/ids/iiif/18824531/140,651,64,71/full/0/native.jpg)
NY
![](https://ids.lib.harvard.edu/ids/iiif/18824531/230,653,47,44/full/0/native.jpg)
EX
![](https://ids.lib.harvard.edu/ids/iiif/18824531/122,633,158,149/full/0/native.jpg)
STOCK EX
![](https://ids.lib.harvard.edu/ids/iiif/18824531/122,672,131,91/full/0/native.jpg)
STOCK
![](https://ids.lib.harvard.edu/ids/iiif/18824531/63,935,9,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18824531/558,927,30,17/full/0/native.jpg)
James
![](https://ids.lib.harvard.edu/ids/iiif/18824531/375,568,188,194/full/0/native.jpg)
HCNRIG
![](https://ids.lib.harvard.edu/ids/iiif/18824531/558,927,43,17/full/0/native.jpg)
James 1.
![](https://ids.lib.harvard.edu/ids/iiif/18824531/289,930,12,10/full/0/native.jpg)
1er
![](https://ids.lib.harvard.edu/ids/iiif/18824531/289,928,53,12/full/0/native.jpg)
1er Foul
![](https://ids.lib.harvard.edu/ids/iiif/18824531/596,931,5,5/full/0/native.jpg)
1.
![](https://ids.lib.harvard.edu/ids/iiif/18824531/302,928,40,12/full/0/native.jpg)
Foul
![](https://ids.lib.harvard.edu/ids/iiif/18824531/40,933,15,5/full/0/native.jpg)
we
![](https://ids.lib.harvard.edu/ids/iiif/18824531/57,79,616,694/full/0/native.jpg)
OCT 29
DIES IRAE
CURD
TOCK E
![](https://ids.lib.harvard.edu/ids/iiif/18824531/57,87,96,30/full/0/native.jpg)
OCT
![](https://ids.lib.harvard.edu/ids/iiif/18824531/170,86,70,35/full/0/native.jpg)
29
![](https://ids.lib.harvard.edu/ids/iiif/18824531/443,82,98,43/full/0/native.jpg)
DIES
![](https://ids.lib.harvard.edu/ids/iiif/18824531/568,80,105,42/full/0/native.jpg)
IRAE
![](https://ids.lib.harvard.edu/ids/iiif/18824531/361,588,212,150/full/0/native.jpg)
CURD
![](https://ids.lib.harvard.edu/ids/iiif/18824531/105,673,139,101/full/0/native.jpg)
TOCK
![](https://ids.lib.harvard.edu/ids/iiif/18824531/221,648,73,67/full/0/native.jpg)
E