Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
people | 99.1 | |
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monochrome | 98.9 | |
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no person | 97.8 | |
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furniture | 97.7 | |
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group | 96.7 | |
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vehicle | 96.2 | |
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indoors | 94.7 | |
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room | 93.8 | |
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many | 93.4 | |
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adult | 92.3 | |
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street | 90.7 | |
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transportation system | 89.4 | |
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group together | 89.3 | |
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watercraft | 86.8 | |
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man | 83.1 | |
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container | 81.5 | |
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several | 80.5 | |
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architecture | 80.4 | |
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two | 79.5 | |
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railway | 78.1 | |
|
Imagga
created on 2019-06-07
architecture | 33.2 | |
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interior | 31.8 | |
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modern | 31.5 | |
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building | 26.1 | |
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city | 25.8 | |
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newspaper | 24.4 | |
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office | 23.4 | |
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room | 22.5 | |
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window | 20.9 | |
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hall | 20.9 | |
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design | 20.8 | |
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urban | 20.1 | |
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structure | 19.5 | |
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business | 19.4 | |
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product | 18.9 | |
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construction | 18.8 | |
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house | 18.4 | |
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glass | 17.9 | |
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light | 16.7 | |
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reflection | 15.4 | |
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wall | 15.4 | |
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apartment | 15.3 | |
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home | 14.3 | |
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creation | 14.1 | |
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indoors | 14 | |
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empty | 13.7 | |
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buildings | 13.2 | |
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inside | 12.9 | |
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sky | 12.7 | |
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new | 12.1 | |
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floor | 12.1 | |
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center | 11.8 | |
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furniture | 11.5 | |
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travel | 11.3 | |
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steel | 10.6 | |
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lamp | 10.5 | |
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table | 10.5 | |
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metal | 10.5 | |
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nobody | 10.1 | |
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3d | 10.1 | |
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white goods | 10 | |
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monitor | 9.8 | |
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station | 9.7 | |
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door | 9.6 | |
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dishwasher | 9.6 | |
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indoor | 9.1 | |
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high | 8.7 | |
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blackboard | 8.6 | |
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chair | 8.6 | |
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luxury | 8.6 | |
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perspective | 8.5 | |
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contemporary | 8.5 | |
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clean | 8.3 | |
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vacation | 8.2 | |
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technology | 8.2 | |
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water | 8 | |
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work | 7.8 | |
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scene | 7.8 | |
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film | 7.7 | |
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mirror | 7.6 | |
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relax | 7.6 | |
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home appliance | 7.5 | |
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bathroom | 7.5 | |
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equipment | 7.3 | |
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success | 7.2 | |
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black | 7.2 | |
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clinic | 7.2 | |
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desk | 7.1 | |
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decor | 7.1 | |
|
Google
created on 2019-06-07
Photograph | 95.3 | |
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Text | 88.1 | |
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Snapshot | 82.9 | |
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History | 74.6 | |
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Room | 74.4 | |
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Architecture | 72.6 | |
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House | 71.7 | |
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Home | 63.7 | |
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Building | 63.1 | |
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Photography | 62.4 | |
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Collection | 57.1 | |
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Interior design | 54.3 | |
|
Microsoft
created on 2019-06-07
building | 86.9 | |
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indoor | 86.2 | |
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white | 69.3 | |
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black and white | 65.4 | |
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Color Analysis
Feature analysis
Categories
Imagga
interior objects | 93.7% | |
| ||
paintings art | 4.6% | |
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streetview architecture | 1.5% | |
|
Captions
Microsoft
created on 2019-06-07
a black and white photo of a kitchen | 52.2% | |
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a black and white photo of a library | 46.2% | |
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a black and white photo of a person | 39.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43364022/168,34,86,21/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/43364022/415,32,174,25/full/0/native.jpg)
TEWKSBURY
![](https://ids.lib.harvard.edu/ids/iiif/43364022/167,31,421,27/full/0/native.jpg)
STATE HOSPITAL, TEWKSBURY
![](https://ids.lib.harvard.edu/ids/iiif/43364022/270,32,138,27/full/0/native.jpg)
HOSPITAL,
![](https://ids.lib.harvard.edu/ids/iiif/43364022/145,40,608,892/full/0/native.jpg)
STATE
HOSPITAL, TEWKSBURY
H chnis30-15
wensN's WARR NaA tnaON
DAY Rese
WINENS WARP Nas (sAN
DeteRY
wasinsnasr
Cende.
nts wAse Nes (e) Day R
![](https://ids.lib.harvard.edu/ids/iiif/43364022/173,40,84,20/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/43364022/276,40,136,21/full/0/native.jpg)
HOSPITAL,
![](https://ids.lib.harvard.edu/ids/iiif/43364022/418,40,175,20/full/0/native.jpg)
TEWKSBURY
![](https://ids.lib.harvard.edu/ids/iiif/43364022/681,52,12,13/full/0/native.jpg)
H
![](https://ids.lib.harvard.edu/ids/iiif/43364022/691,52,62,13/full/0/native.jpg)
chnis30-15
![](https://ids.lib.harvard.edu/ids/iiif/43364022/179,361,26,7/full/0/native.jpg)
WARR
![](https://ids.lib.harvard.edu/ids/iiif/43364022/205,360,17,8/full/0/native.jpg)
NaA
![](https://ids.lib.harvard.edu/ids/iiif/43364022/219,357,32,11/full/0/native.jpg)
tnaON
![](https://ids.lib.harvard.edu/ids/iiif/43364022/266,359,19,9/full/0/native.jpg)
DAY
![](https://ids.lib.harvard.edu/ids/iiif/43364022/283,357,23,11/full/0/native.jpg)
Rese
![](https://ids.lib.harvard.edu/ids/iiif/43364022/521,633,35,9/full/0/native.jpg)
WINENS
![](https://ids.lib.harvard.edu/ids/iiif/43364022/554,630,26,13/full/0/native.jpg)
WARP
![](https://ids.lib.harvard.edu/ids/iiif/43364022/578,635,16,7/full/0/native.jpg)
Nas
![](https://ids.lib.harvard.edu/ids/iiif/43364022/594,631,29,15/full/0/native.jpg)
(sAN
![](https://ids.lib.harvard.edu/ids/iiif/43364022/631,632,48,14/full/0/native.jpg)
DeteRY
![](https://ids.lib.harvard.edu/ids/iiif/43364022/337,636,44,9/full/0/native.jpg)
wasinsnasr
![](https://ids.lib.harvard.edu/ids/iiif/43364022/676,917,30,13/full/0/native.jpg)
Cende.
![](https://ids.lib.harvard.edu/ids/iiif/43364022/539,919,34,13/full/0/native.jpg)
nts
![](https://ids.lib.harvard.edu/ids/iiif/43364022/570,922,25,9/full/0/native.jpg)
wAse
![](https://ids.lib.harvard.edu/ids/iiif/43364022/594,921,17,10/full/0/native.jpg)
Nes
![](https://ids.lib.harvard.edu/ids/iiif/43364022/610,920,30,11/full/0/native.jpg)
(e)
![](https://ids.lib.harvard.edu/ids/iiif/43364022/641,920,16,9/full/0/native.jpg)
Day
![](https://ids.lib.harvard.edu/ids/iiif/43364022/145,359,35,9/full/0/native.jpg)
wensN's
![](https://ids.lib.harvard.edu/ids/iiif/43364022/654,917,8,13/full/0/native.jpg)
R