Machine Generated Data
Tags
Clarifai
created on 2018-08-20
no person | 99.9 | |
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temperature | 99.1 | |
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health | 98.2 | |
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scale | 97.9 | |
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thermometer | 97.8 | |
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medicine | 97.3 | |
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science | 97 | |
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disjunct | 96.7 | |
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number | 95.7 | |
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instrument | 95.2 | |
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equipment | 94.9 | |
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healthcare | 94 | |
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research | 93.8 | |
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Celsius | 93.4 | |
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one | 92.9 | |
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precision | 92.9 | |
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mercury | 91.3 | |
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still life | 90.8 | |
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vertical | 90.1 | |
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measure | 90 | |
|
Imagga
created on 2018-08-20
comb | 93.9 | |
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tool | 74.8 | |
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measuring cup | 43.1 | |
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measure | 39.1 | |
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container | 34.1 | |
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business | 21.8 | |
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close | 18.2 | |
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paper | 16.5 | |
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page | 15.8 | |
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equipment | 15.6 | |
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empty | 15.6 | |
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office | 14.4 | |
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blank | 13.7 | |
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notebook | 13.6 | |
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school | 13.5 | |
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document | 13 | |
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education | 13 | |
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stack | 12.9 | |
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sheet | 12.2 | |
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note | 11.9 | |
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message | 11.9 | |
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design | 11.8 | |
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texture | 11.8 | |
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object | 11.7 | |
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reminder | 11.6 | |
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information | 11.5 | |
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write | 11.3 | |
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technology | 11.1 | |
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instrument | 11 | |
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glass | 11 | |
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pad | 10.7 | |
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metal | 10.5 | |
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finance | 10.1 | |
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clean | 10 | |
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memo | 9.8 | |
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list | 9.8 | |
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medicine | 9.7 | |
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spiral | 9.5 | |
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medical | 8.8 | |
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diary | 8.8 | |
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closeup | 8.7 | |
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text | 8.7 | |
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liquid | 8.7 | |
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water | 8.7 | |
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letter | 8.2 | |
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book | 8.2 | |
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science | 8 | |
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clear | 7.8 | |
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notepad | 7.8 | |
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color | 7.8 | |
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corner | 7.8 | |
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3d | 7.7 | |
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tape | 7.7 | |
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measurement | 7.7 | |
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beaker | 7.4 | |
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binder | 7.3 | |
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lines | 7.2 | |
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home | 7.2 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20347626/94,30,145,893/full/0/native.jpg)
Can | 66.4% | |
|
Categories
Imagga
text visuals | 55% | |
| ||
food drinks | 43.5% | |
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paintings art | 1.4% | |
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interior objects | 0.1% | |
|
Captions
Microsoft
created on 2018-08-20
a close up of a door | 61.8% | |
| ||
a close up of a white wall | 61.3% | |
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close up of a door | 56.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20347626/145,225,75,20/full/0/native.jpg)
500:5
![](https://ids.lib.harvard.edu/ids/iiif/20347626/149,248,17,9/full/0/native.jpg)
ml
![](https://ids.lib.harvard.edu/ids/iiif/20347626/172,249,12,9/full/0/native.jpg)
In
![](https://ids.lib.harvard.edu/ids/iiif/20347626/148,247,67,12/full/0/native.jpg)
ml In 20°C
![](https://ids.lib.harvard.edu/ids/iiif/20347626/221,394,12,18/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/20347626/213,702,16,22/full/0/native.jpg)
15
![](https://ids.lib.harvard.edu/ids/iiif/20347626/220,458,12,18/full/0/native.jpg)
38
![](https://ids.lib.harvard.edu/ids/iiif/20347626/187,249,28,10/full/0/native.jpg)
20°C
![](https://ids.lib.harvard.edu/ids/iiif/20347626/213,643,17,24/full/0/native.jpg)
27
![](https://ids.lib.harvard.edu/ids/iiif/20347626/218,521,13,20/full/0/native.jpg)
31
![](https://ids.lib.harvard.edu/ids/iiif/20347626/223,260,13,18/full/0/native.jpg)
51
![](https://ids.lib.harvard.edu/ids/iiif/20347626/105,783,36,88/full/0/native.jpg)
Rose
![](https://ids.lib.harvard.edu/ids/iiif/20347626/210,760,16,24/full/0/native.jpg)
100
![](https://ids.lib.harvard.edu/ids/iiif/20347626/119,663,6,5/full/0/native.jpg)
و
![](https://ids.lib.harvard.edu/ids/iiif/20347626/215,582,15,22/full/0/native.jpg)
25
![](https://ids.lib.harvard.edu/ids/iiif/20347626/213,819,10,21/full/0/native.jpg)
50
![](https://ids.lib.harvard.edu/ids/iiif/20347626/147,226,89,61/full/0/native.jpg)
500:5
ml In 20°c
5
![](https://ids.lib.harvard.edu/ids/iiif/20347626/147,226,77,25/full/0/native.jpg)
500:5
![](https://ids.lib.harvard.edu/ids/iiif/20347626/149,249,21,13/full/0/native.jpg)
ml
![](https://ids.lib.harvard.edu/ids/iiif/20347626/173,249,16,13/full/0/native.jpg)
In
![](https://ids.lib.harvard.edu/ids/iiif/20347626/188,249,32,13/full/0/native.jpg)
20°c
![](https://ids.lib.harvard.edu/ids/iiif/20347626/225,261,11,26/full/0/native.jpg)
5