Machine Generated Data
Tags
Amazon
created on 2023-08-30
Person | 98.2 | |
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Electronics | 96 | |
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Screen | 96 | |
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Machine | 92.5 | |
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Spoke | 92.5 | |
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Wheel | 78.8 | |
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Computer Hardware | 77.5 | |
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Hardware | 77.5 | |
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Monitor | 77.5 | |
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Person | 74.4 | |
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Shop | 69.8 | |
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Window Display | 69.8 | |
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Head | 64.9 | |
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Face | 60.8 | |
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Advertisement | 57.1 | |
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Diagram | 56.7 | |
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Bicycle | 55.5 | |
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Transportation | 55.5 | |
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Vehicle | 55.5 | |
|
Clarifai
created on 2023-11-01
business | 96.7 | |
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technology | 94.6 | |
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desktop | 93.3 | |
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illustration | 92.8 | |
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spherical | 91 | |
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science | 90.8 | |
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symbol | 86.9 | |
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wall | 86.2 | |
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modern | 85.9 | |
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design | 85.8 | |
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graphic | 85.2 | |
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communication | 83.9 | |
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planet | 83.5 | |
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screen | 83.5 | |
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people | 83.1 | |
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city | 83 | |
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presentation | 82.9 | |
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computer | 82.7 | |
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signalise | 82.2 | |
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art | 82.2 | |
|
Imagga
created on 2018-12-20
device | 71.2 | |
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electric fan | 52.5 | |
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fan | 45.9 | |
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ventilator | 43.6 | |
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equipment | 34.6 | |
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backboard | 27.7 | |
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technology | 20.8 | |
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digital | 18.6 | |
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computer | 17.7 | |
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business | 16.4 | |
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data | 13.7 | |
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object | 12.4 | |
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3d | 12.4 | |
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black | 12 | |
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finance | 11.8 | |
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paper | 11.8 | |
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communication | 11.7 | |
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design | 11.2 | |
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old | 11.1 | |
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symbol | 10.8 | |
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radio | 10.7 | |
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media | 10.5 | |
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metal | 10.5 | |
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financial | 9.8 | |
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circle | 9.8 | |
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information | 9.7 | |
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building | 9.5 | |
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money | 9.4 | |
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dollar | 9.3 | |
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world | 8.9 | |
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bank | 8.7 | |
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art | 8.6 | |
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electronics | 8.5 | |
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office | 8.5 | |
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modern | 8.4 | |
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graphics | 8.3 | |
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frame | 8.3 | |
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sky | 8.3 | |
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global | 8.2 | |
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television | 8.2 | |
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music | 8.1 | |
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currency | 8.1 | |
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monitor | 7.9 | |
| ||
render | 7.8 | |
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disc | 7.8 | |
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effects | 7.6 | |
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three dimensional | 7.5 | |
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map | 7.5 | |
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network | 7.4 | |
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globe | 7.4 | |
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retro | 7.4 | |
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conceptual | 7 | |
|
Google
created on 2018-12-20
design | 66 | |
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art | 63.4 | |
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font | 59 | |
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technology | 57.9 | |
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glass | 52.4 | |
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window | 52.3 | |
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graphics | 51.8 | |
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display window | 51.1 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20685198/872,396,12,20/full/0/native.jpg)
AWS Rekognition
Age | 29-39 |
Gender | Male, 62.6% |
Fear | 56.2% |
Calm | 18% |
Sad | 14.9% |
Happy | 9.5% |
Surprised | 7.3% |
Disgusted | 5.5% |
Angry | 5.2% |
Confused | 0.4% |
Feature analysis
Categories
Imagga
text visuals | 59.2% | |
| ||
events parties | 20.5% | |
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food drinks | 15.7% | |
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paintings art | 2.2% | |
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interior objects | 1.1% | |
|
Captions
Microsoft
created on 2018-12-20
a screen shot of a computer | 55.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20685198/241,319,11,7/full/0/native.jpg)
17
![](https://ids.lib.harvard.edu/ids/iiif/20685198/285,0,29,8/full/0/native.jpg)
OSTS
![](https://ids.lib.harvard.edu/ids/iiif/20685198/93,428,16,15/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/20685198/100,458,14,18/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/20685198/137,497,13,12/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/20685198/106,397,43,19/full/0/native.jpg)
2304
![](https://ids.lib.harvard.edu/ids/iiif/20685198/283,385,13,18/full/0/native.jpg)
R
![](https://ids.lib.harvard.edu/ids/iiif/20685198/280,461,11,16/full/0/native.jpg)
HN
![](https://ids.lib.harvard.edu/ids/iiif/20685198/200,353,7,12/full/0/native.jpg)
di
![](https://ids.lib.harvard.edu/ids/iiif/20685198/497,0,43,9/full/0/native.jpg)
KODYE
![](https://ids.lib.harvard.edu/ids/iiif/20685198/239,0,75,8/full/0/native.jpg)
OSTS KODYK
![](https://ids.lib.harvard.edu/ids/iiif/20685198/181,340,10,6/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/20685198/239,404,8,8/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/20685198/4,0,52,8/full/0/native.jpg)
OSTS KoO
![](https://ids.lib.harvard.edu/ids/iiif/20685198/237,385,61,32/full/0/native.jpg)
544 x R
![](https://ids.lib.harvard.edu/ids/iiif/20685198/241,330,12,7/full/0/native.jpg)
my
![](https://ids.lib.harvard.edu/ids/iiif/20685198/93,417,63,28/full/0/native.jpg)
4 15234
![](https://ids.lib.harvard.edu/ids/iiif/20685198/497,0,75,9/full/0/native.jpg)
9575 KODYE
![](https://ids.lib.harvard.edu/ids/iiif/20685198/242,392,38,24/full/0/native.jpg)
544
![](https://ids.lib.harvard.edu/ids/iiif/20685198/137,497,13,17/full/0/native.jpg)
1 °
![](https://ids.lib.harvard.edu/ids/iiif/20685198/289,411,28,12/full/0/native.jpg)
5500
![](https://ids.lib.harvard.edu/ids/iiif/20685198/4,0,20,8/full/0/native.jpg)
KoO
![](https://ids.lib.harvard.edu/ids/iiif/20685198/757,0,74,8/full/0/native.jpg)
OSTS KOODY
![](https://ids.lib.harvard.edu/ids/iiif/20685198/543,0,29,8/full/0/native.jpg)
9575
![](https://ids.lib.harvard.edu/ids/iiif/20685198/237,381,29,25/full/0/native.jpg)
Q202
![](https://ids.lib.harvard.edu/ids/iiif/20685198/121,437,24,17/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20685198/239,0,41,7/full/0/native.jpg)
KODYK
![](https://ids.lib.harvard.edu/ids/iiif/20685198/118,377,37,26/full/0/native.jpg)
12315
![](https://ids.lib.harvard.edu/ids/iiif/20685198/75,410,30,16/full/0/native.jpg)
5806
![](https://ids.lib.harvard.edu/ids/iiif/20685198/201,344,7,7/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20685198/121,430,39,24/full/0/native.jpg)
on CITY
![](https://ids.lib.harvard.edu/ids/iiif/20685198/275,351,22,25/full/0/native.jpg)
امكا
![](https://ids.lib.harvard.edu/ids/iiif/20685198/110,417,45,24/full/0/native.jpg)
15234
![](https://ids.lib.harvard.edu/ids/iiif/20685198/757,0,42,7/full/0/native.jpg)
KOODY
![](https://ids.lib.harvard.edu/ids/iiif/20685198/100,356,14,20/full/0/native.jpg)
to
![](https://ids.lib.harvard.edu/ids/iiif/20685198/213,354,53,47/full/0/native.jpg)
240226
![](https://ids.lib.harvard.edu/ids/iiif/20685198/257,341,17,18/full/0/native.jpg)
ع
![](https://ids.lib.harvard.edu/ids/iiif/20685198/140,507,9,7/full/0/native.jpg)
°
![](https://ids.lib.harvard.edu/ids/iiif/20685198/146,432,12,9/full/0/native.jpg)
CITY