Machine Generated Data
Tags
Amazon
created on 2019-06-01
Building | 97.4 | |
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Architecture | 97.4 | |
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Interior Design | 89.5 | |
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Indoors | 89.5 | |
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Pillar | 83.3 | |
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Column | 83.3 | |
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Text | 79.7 | |
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Advertisement | 78.1 | |
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Poster | 75.9 | |
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Collage | 69.2 | |
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Furniture | 55.9 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
circuit board | 33.5 | |
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city | 24.2 | |
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cityscape | 19.9 | |
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design | 19.7 | |
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business | 18.8 | |
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skyline | 18 | |
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urban | 17.5 | |
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building | 16.9 | |
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modern | 16.8 | |
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grunge | 16.2 | |
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frame | 15 | |
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graphic | 14.6 | |
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new | 14.6 | |
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office | 14.4 | |
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paper | 14.1 | |
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architecture | 14 | |
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vintage | 14 | |
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texture | 13.9 | |
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art | 13.8 | |
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book jacket | 13.7 | |
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skyscraper | 13 | |
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light | 12.7 | |
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finance | 12.7 | |
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old | 12.5 | |
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book | 12.4 | |
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pattern | 12.3 | |
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retro | 12.3 | |
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device | 12 | |
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electrical device | 11.8 | |
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jacket | 11.6 | |
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wallpaper | 11.5 | |
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film | 11.1 | |
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sky | 10.8 | |
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equipment | 10.7 | |
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financial | 10.7 | |
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style | 10.4 | |
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black | 10.2 | |
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capacitor | 9.9 | |
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tower | 9.8 | |
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shelf | 9.7 | |
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digital | 9.7 | |
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technology | 9.6 | |
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computer | 9.6 | |
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downtown | 9.6 | |
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high | 9.5 | |
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product | 9.5 | |
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buildings | 9.4 | |
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structure | 9.4 | |
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tall | 9.4 | |
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money | 9.3 | |
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web | 9.3 | |
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town | 9.3 | |
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border | 9 | |
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negative | 9 | |
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antique | 8.9 | |
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night | 8.9 | |
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metropolis | 8.8 | |
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symbol | 8.7 | |
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drawing | 8.7 | |
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scene | 8.6 | |
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blister pack | 8.6 | |
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colorful | 8.6 | |
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card | 8.5 | |
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creation | 8.5 | |
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economy | 8.3 | |
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element | 8.3 | |
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newspaper | 8.2 | |
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wrapping | 8.1 | |
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collection | 8.1 | |
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conceptual | 7.9 | |
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ancient | 7.8 | |
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damaged | 7.6 | |
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glass | 7.6 | |
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page | 7.4 | |
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street | 7.4 | |
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aged | 7.2 | |
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landmark | 7.2 | |
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currency | 7.2 | |
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science | 7.1 | |
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information | 7.1 | |
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metropolitan | 7.1 | |
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travel | 7 | |
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Google
created on 2019-06-01
Text | 89.7 | |
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Architecture | 72.6 | |
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Font | 68.6 | |
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Black-and-white | 68.3 | |
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Photography | 62.4 | |
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City | 62.1 | |
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Metropolis | 51.9 | |
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Microsoft
created on 2019-06-01
vending machine | 13.5 | |
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Color Analysis
Categories
Imagga
paintings art | 40.2% | |
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interior objects | 33% | |
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text visuals | 25.4% | |
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streetview architecture | 1.1% | |
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Captions
Microsoft
created on 2019-06-01
a circuit board | 51.7% | |
| ||
a close up of a store | 51.6% | |
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a circuit board in front of a store | 38.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18779413/110,123,562,69/full/0/native.jpg)
JHFORTIN
![](https://ids.lib.harvard.edu/ids/iiif/18779413/476,648,36,14/full/0/native.jpg)
SEAL
![](https://ids.lib.harvard.edu/ids/iiif/18779413/474,680,41,23/full/0/native.jpg)
Sloat
![](https://ids.lib.harvard.edu/ids/iiif/18779413/474,632,40,16/full/0/native.jpg)
GoLd
![](https://ids.lib.harvard.edu/ids/iiif/18779413/474,811,25,7/full/0/native.jpg)
WOnLD
![](https://ids.lib.harvard.edu/ids/iiif/18779413/724,447,25,17/full/0/native.jpg)
We
![](https://ids.lib.harvard.edu/ids/iiif/18779413/413,417,322,408/full/0/native.jpg)
RUG
GOLD
SEAL
Rug
SEAL RUGS
LLING RUG IN THE WORLD
![](https://ids.lib.harvard.edu/ids/iiif/18779413/721,417,14,10/full/0/native.jpg)
RUG
![](https://ids.lib.harvard.edu/ids/iiif/18779413/478,635,39,18/full/0/native.jpg)
GOLD
![](https://ids.lib.harvard.edu/ids/iiif/18779413/478,650,39,18/full/0/native.jpg)
SEAL
![](https://ids.lib.harvard.edu/ids/iiif/18779413/487,666,23,16/full/0/native.jpg)
Rug
![](https://ids.lib.harvard.edu/ids/iiif/18779413/448,784,25,18/full/0/native.jpg)
RUGS
![](https://ids.lib.harvard.edu/ids/iiif/18779413/413,810,21,12/full/0/native.jpg)
LLING
![](https://ids.lib.harvard.edu/ids/iiif/18779413/451,811,10,12/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/18779413/461,812,15,12/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/18779413/474,812,26,13/full/0/native.jpg)
WORLD