Machine Generated Data
Tags
Amazon
created on 2019-07-20
Paint Container | 98.5 | |
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Palette | 97.7 | |
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Rug | 73.2 | |
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Cork | 58.3 | |
|
Clarifai
created on 2019-07-20
no person | 99.6 | |
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stacks | 94.2 | |
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business | 93.5 | |
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paper | 92.2 | |
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indoors | 91.8 | |
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isolated | 91.5 | |
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graphic design | 89.8 | |
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retro | 87.9 | |
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contemporary | 87.3 | |
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health | 86.6 | |
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plastic | 86.5 | |
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empty | 85.4 | |
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conceptual | 83.6 | |
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achievement | 83.5 | |
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one | 82.7 | |
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architecture | 79.6 | |
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family | 79.5 | |
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traditional | 79.2 | |
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science | 78.9 | |
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glass items | 77.5 | |
|
Imagga
created on 2019-07-20
mine | 37.1 | |
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excavation | 29.7 | |
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container | 22.9 | |
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bottle | 19.1 | |
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design | 15.8 | |
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glass | 15.6 | |
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block | 14.5 | |
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color | 13.9 | |
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stack | 13.8 | |
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3d | 13.2 | |
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jar | 12.8 | |
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object | 11.7 | |
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box | 11.5 | |
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black | 11.4 | |
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pattern | 10.9 | |
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food | 10.5 | |
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construction | 10.3 | |
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modern | 9.8 | |
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business | 9.7 | |
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close | 9.7 | |
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technology | 9.6 | |
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wealth | 9 | |
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chip | 8.9 | |
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building | 8.9 | |
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success | 8.8 | |
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casino | 8.8 | |
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reflection | 8.7 | |
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table | 8.6 | |
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architecture | 8.6 | |
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book | 8.4 | |
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chance | 7.8 | |
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render | 7.8 | |
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nobody | 7.8 | |
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orange | 7.7 | |
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product | 7.5 | |
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city | 7.5 | |
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light | 7.3 | |
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digital | 7.3 | |
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colorful | 7.2 | |
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art | 7.1 | |
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colors | 7 | |
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medicine | 7 | |
|
Google
created on 2019-07-20
Glass bottle | 94.9 | |
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Glass | 76.2 | |
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Bottle | 71.6 | |
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Toy | 66.8 | |
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Square | 53.8 | |
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Rubik's cube | 52.4 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48481498/265,197,912,1292/full/0/native.jpg)
Rug | 73.2% | |
|
Categories
Imagga
interior objects | 96.7% | |
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paintings art | 2.8% | |
|
Captions
Microsoft
created on 2019-07-20
a close up of a bottle | 28.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1477,1061,106,64/full/0/native.jpg)
Raw
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1557,989,67,76/full/0/native.jpg)
72
![](https://ids.lib.harvard.edu/ids/iiif/48481498/248,770,0,1/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/48481498/260,728,0,0/full/0/native.jpg)
cm.
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1477,1058,386,70/full/0/native.jpg)
Raw VMBER
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1657,1058,205,69/full/0/native.jpg)
VMBER
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1995,1118,126,55/full/0/native.jpg)
WeBER
![](https://ids.lib.harvard.edu/ids/iiif/48481498/251,643,1874,803/full/0/native.jpg)
72
RAW UMBER
INESER
5 cm.
0
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1570,1005,67,73/full/0/native.jpg)
72
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1450,1065,139,77/full/0/native.jpg)
RAW
![](https://ids.lib.harvard.edu/ids/iiif/48481498/269,643,36,84/full/0/native.jpg)
cm.
![](https://ids.lib.harvard.edu/ids/iiif/48481498/251,1418,37,27/full/0/native.jpg)
0
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1662,1065,196,77/full/0/native.jpg)
UMBER
![](https://ids.lib.harvard.edu/ids/iiif/48481498/1986,1118,138,70/full/0/native.jpg)
INESER
![](https://ids.lib.harvard.edu/ids/iiif/48481498/262,714,42,36/full/0/native.jpg)
5