Machine Generated Data
Tags
Amazon
created on 2019-07-20
Jar | 90.5 | |
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Paint Container | 87.7 | |
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Rug | 62.7 | |
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Palette | 57.8 | |
|
Clarifai
created on 2019-07-20
no person | 98.8 | |
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business | 92.7 | |
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isolated | 92.2 | |
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stacks | 87.8 | |
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contemporary | 85.4 | |
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paper | 85.3 | |
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creativity | 84.4 | |
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family | 84.3 | |
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empty | 84.2 | |
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indoors | 83.2 | |
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glass items | 81.5 | |
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achievement | 80.8 | |
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graphic design | 80.7 | |
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disjunct | 79.5 | |
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container | 79.5 | |
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glazed | 78.2 | |
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desktop | 77.8 | |
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merchandise | 77.7 | |
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conceptual | 75.9 | |
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plastic | 75.8 | |
|
Imagga
created on 2019-07-20
conserve | 34.9 | |
| ||
jelly | 30.2 | |
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jar | 28.3 | |
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powder | 28.3 | |
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container | 26.7 | |
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spread | 25.7 | |
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glass | 24.6 | |
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substance | 24.4 | |
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money | 23.8 | |
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currency | 21.6 | |
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finance | 21.1 | |
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bottle | 19.9 | |
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cash | 18.3 | |
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prescription drug | 16.1 | |
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coin | 15.3 | |
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food | 15 | |
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health | 14.6 | |
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coins | 14.5 | |
| ||
can | 14.4 | |
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wealth | 14.4 | |
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metal | 13.7 | |
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close | 13.1 | |
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objects | 12.2 | |
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savings | 12.1 | |
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stack | 12 | |
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medicine | 11.5 | |
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preserved | 10.9 | |
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bank | 10.8 | |
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financial | 10.7 | |
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gold | 10.7 | |
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medical | 10.6 | |
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pile | 10.3 | |
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rich | 10.2 | |
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banking | 10.1 | |
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investment | 10.1 | |
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healthy | 10.1 | |
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nutrition | 10.1 | |
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drink | 10 | |
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beverage | 10 | |
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business | 9.7 | |
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dollar | 9.3 | |
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group | 8.9 | |
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lid | 8.8 | |
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bottles | 8.8 | |
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pharmacy | 8.7 | |
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addiction | 8.7 | |
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change | 8.7 | |
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yellow | 8.6 | |
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golden | 8.6 | |
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liquid | 8.5 | |
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orange | 8.4 | |
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economy | 8.4 | |
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pill bottle | 8.1 | |
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canned | 7.9 | |
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pills | 7.8 | |
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pill | 7.8 | |
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color | 7.8 | |
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product | 7.7 | |
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dollars | 7.7 | |
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pay | 7.7 | |
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stock | 7.5 | |
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closeup | 7.4 | |
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against | 7.4 | |
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object | 7.3 | |
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full | 7.3 | |
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vegetables | 7.3 | |
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chip | 7.1 | |
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ingredient | 7 | |
|
Microsoft
created on 2019-07-20
indoor | 92.4 | |
| ||
food storage containers | 58.8 | |
| ||
design | 58.4 | |
| ||
mason jar | 50.4 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48529888/226,441,676,938/full/0/native.jpg)
Rug | 62.7% | |
|
Categories
Imagga
food drinks | 100% | |
|
Captions
Microsoft
created on 2019-07-20
a close up of a cup | 27.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1518,1034,99,42/full/0/native.jpg)
WeT
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1633,1041,167,46/full/0/native.jpg)
GROUND
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1538,963,158,64/full/0/native.jpg)
MICA-
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1519,1018,311,110/full/0/native.jpg)
WeT #160w>h GROUND
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1560,1136,123,49/full/0/native.jpg)
4BK
![](https://ids.lib.harvard.edu/ids/iiif/48529888/246,844,0,0/full/0/native.jpg)
5 cm.
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1589,1081,233,53/full/0/native.jpg)
#160w>h
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1754,1188,63,32/full/0/native.jpg)
McA
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1797,938,46,30/full/0/native.jpg)
ND
![](https://ids.lib.harvard.edu/ids/iiif/48529888/257,756,1556,466/full/0/native.jpg)
MICA-
WeT GROUD
160WA
#BK
Hese-LigeRty M
5 cm.
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1549,982,148,56/full/0/native.jpg)
MICA-
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1531,1046,86,35/full/0/native.jpg)
WeT
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1641,1043,172,57/full/0/native.jpg)
GROUD
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1613,1089,170,55/full/0/native.jpg)
160WA
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1486,1135,188,66/full/0/native.jpg)
#BK
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1530,1176,221,46/full/0/native.jpg)
Hese-LigeRty
![](https://ids.lib.harvard.edu/ids/iiif/48529888/1777,1168,27,44/full/0/native.jpg)
M
![](https://ids.lib.harvard.edu/ids/iiif/48529888/257,801,29,24/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/48529888/259,756,30,48/full/0/native.jpg)
cm.