Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
balcony | 86.2 | |
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architecture | 48.3 | |
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building | 43.8 | |
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structure | 42.1 | |
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house | 36 | |
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window | 29.3 | |
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city | 26.6 | |
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home | 23.9 | |
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furniture | 22.1 | |
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windows | 19.2 | |
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town | 17.6 | |
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urban | 16.6 | |
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tourism | 16.5 | |
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wall | 16.4 | |
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tower | 16.3 | |
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travel | 16.2 | |
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sky | 15.9 | |
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glass | 14.8 | |
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landmark | 14.4 | |
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facade | 14.1 | |
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old | 13.9 | |
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furnishing | 13.3 | |
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exterior | 12.9 | |
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residence | 12.8 | |
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modern | 12.6 | |
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interior | 12.4 | |
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construction | 12 | |
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architectural | 11.5 | |
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residential | 11.5 | |
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estate | 11.4 | |
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light | 11.4 | |
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historical | 11.3 | |
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historic | 11 | |
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real | 10.4 | |
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living | 10.4 | |
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high | 10.4 | |
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design | 10.1 | |
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island | 10.1 | |
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railing | 10 | |
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plate rack | 9.8 | |
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door | 9.7 | |
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roof | 9.6 | |
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apartment | 9.6 | |
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hotel | 9.5 | |
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luxury | 9.4 | |
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monument | 9.3 | |
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street | 9.2 | |
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tourist | 9.2 | |
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bridge | 9.2 | |
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history | 8.9 | |
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new | 8.9 | |
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style | 8.9 | |
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decor | 8.8 | |
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property | 8.7 | |
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support | 8.6 | |
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stone | 8.4 | |
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destination | 8.4 | |
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iron | 8.4 | |
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framework | 8.4 | |
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wood | 8.3 | |
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detail | 8 | |
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decoration | 8 | |
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steel | 8 | |
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wooden | 7.9 | |
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rack | 7.8 | |
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ancient | 7.8 | |
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elegant | 7.7 | |
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room | 7.7 | |
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brick | 7.5 | |
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famous | 7.4 | |
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church | 7.4 | |
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vacation | 7.4 | |
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inside | 7.4 | |
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reflection | 7.3 | |
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Google
created on 2019-06-07
Text | 90.8 | |
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Architecture | 82.8 | |
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Room | 74.4 | |
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House | 74.2 | |
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History | 72.6 | |
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Building | 71.3 | |
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Interior design | 59.1 | |
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Photographic paper | 58.2 | |
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Home | 57 | |
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Black-and-white | 56.4 | |
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Window | 53.8 | |
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Collection | 50 | |
|
Color Analysis
Feature analysis
Categories
Imagga
paintings art | 49.8% | |
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streetview architecture | 49.8% | |
|
Captions
Microsoft
created on 2019-06-07
a vintage photo of a person | 80% | |
| ||
a vintage photo of a kitchen | 79.9% | |
| ||
a vintage photo of a person | 79.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43363983/282,32,132,24/full/0/native.jpg)
HOSPITAL
![](https://ids.lib.harvard.edu/ids/iiif/43363983/181,30,430,25/full/0/native.jpg)
STATE HOSPITAL TEWKSBURY
![](https://ids.lib.harvard.edu/ids/iiif/43363983/425,32,185,25/full/0/native.jpg)
TEWKSBURY
![](https://ids.lib.harvard.edu/ids/iiif/43363983/181,32,86,23/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/43363983/161,37,579,925/full/0/native.jpg)
STATE HOSPITAL TEWKSBURY
H chi 51-30-
w s
HaRsitel
arnneTy TAL
Nurserywme a
![](https://ids.lib.harvard.edu/ids/iiif/43363983/184,37,87,23/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/43363983/289,37,130,23/full/0/native.jpg)
HOSPITAL
![](https://ids.lib.harvard.edu/ids/iiif/43363983/431,39,182,22/full/0/native.jpg)
TEWKSBURY
![](https://ids.lib.harvard.edu/ids/iiif/43363983/683,55,9,11/full/0/native.jpg)
H
![](https://ids.lib.harvard.edu/ids/iiif/43363983/690,53,19,14/full/0/native.jpg)
chi
![](https://ids.lib.harvard.edu/ids/iiif/43363983/712,53,28,14/full/0/native.jpg)
51-30-
![](https://ids.lib.harvard.edu/ids/iiif/43363983/416,637,43,12/full/0/native.jpg)
w
![](https://ids.lib.harvard.edu/ids/iiif/43363983/469,637,8,11/full/0/native.jpg)
s
![](https://ids.lib.harvard.edu/ids/iiif/43363983/226,672,29,11/full/0/native.jpg)
HaRsitel
![](https://ids.lib.harvard.edu/ids/iiif/43363983/406,937,44,14/full/0/native.jpg)
arnneTy
![](https://ids.lib.harvard.edu/ids/iiif/43363983/466,940,23,13/full/0/native.jpg)
TAL
![](https://ids.lib.harvard.edu/ids/iiif/43363983/161,947,67,15/full/0/native.jpg)
Nurserywme
![](https://ids.lib.harvard.edu/ids/iiif/43363983/235,946,20,14/full/0/native.jpg)
a