Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
architecture | 68.8 | |
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building | 61.9 | |
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city | 43.3 | |
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structure | 41.8 | |
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warehouse | 38.6 | |
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sky | 28.3 | |
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cinema | 27.5 | |
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town | 24.1 | |
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travel | 24 | |
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old | 23.7 | |
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tower | 23.3 | |
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theater | 22 | |
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urban | 21.9 | |
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tourism | 20.6 | |
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ancient | 19.9 | |
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buildings | 18.9 | |
| ||
landmark | 18.1 | |
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center | 17.7 | |
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construction | 17.1 | |
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cityscape | 17.1 | |
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history | 16.1 | |
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house | 15.3 | |
| ||
stone | 15.2 | |
| ||
exterior | 14.8 | |
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wall | 14.1 | |
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office | 14 | |
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historic | 13.8 | |
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culture | 13.7 | |
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facade | 13.5 | |
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modern | 13.3 | |
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billboard | 12.4 | |
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famous | 12.1 | |
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vintage | 11.6 | |
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church | 11.1 | |
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tourist | 10.9 | |
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university | 10.6 | |
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village | 10.6 | |
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windows | 10.6 | |
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brick | 10.4 | |
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window | 10.2 | |
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street | 10.1 | |
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signboard | 10 | |
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religion | 9.9 | |
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high | 9.5 | |
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old fashioned | 9.5 | |
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clouds | 9.3 | |
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skyscraper | 9.1 | |
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scenery | 9 | |
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landscape | 8.9 | |
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castle | 8.8 | |
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district | 8.7 | |
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downtown | 8.7 | |
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rustic | 8.6 | |
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residential | 8.6 | |
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roof | 8.6 | |
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grunge | 8.5 | |
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tall | 8.5 | |
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summer | 8.4 | |
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grain | 8.3 | |
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rough | 8.2 | |
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aged | 8.2 | |
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houses | 7.8 | |
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stain | 7.7 | |
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obsolete | 7.7 | |
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skyline | 7.6 | |
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bridge | 7.6 | |
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trees | 7.1 | |
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palace | 7.1 | |
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steel | 7.1 | |
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sea | 7 | |
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scenic | 7 | |
|
Google
created on 2019-11-19
White | 97.3 | |
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Black | 95.4 | |
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Black-and-white | 87.2 | |
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Text | 86.9 | |
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Architecture | 85.6 | |
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Monochrome | 84.9 | |
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House | 80.7 | |
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Building | 73.9 | |
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Line | 73 | |
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Photography | 70.6 | |
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Facade | 66.7 | |
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Monochrome photography | 64.7 | |
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Home | 63.7 | |
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Stock photography | 59.4 | |
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Window | 56.8 | |
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Style | 54.3 | |
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City | 51.3 | |
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Rectangle | 50.5 | |
|
Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 86.3% | |
| ||
text visuals | 12.5% | |
|
Captions
Microsoft
created on 2019-11-19
a store front at night | 85.5% | |
| ||
a store inside of a building | 85.4% | |
| ||
a store front at day | 84.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14296154/402,503,55,32/full/0/native.jpg)
SHOP
![](https://ids.lib.harvard.edu/ids/iiif/14296154/544,532,40,14/full/0/native.jpg)
ENTIRE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/854,505,74,15/full/0/native.jpg)
COACHES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/661,491,141,34/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/457,530,61,15/full/0/native.jpg)
SHOES FOR
![](https://ids.lib.harvard.edu/ids/iiif/14296154/470,507,39,17/full/0/native.jpg)
540
![](https://ids.lib.harvard.edu/ids/iiif/14296154/585,530,19,14/full/0/native.jpg)
FA
![](https://ids.lib.harvard.edu/ids/iiif/14296154/675,524,101,19/full/0/native.jpg)
EXCHANGE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/851,485,56,12/full/0/native.jpg)
BYLAND
![](https://ids.lib.harvard.edu/ids/iiif/14296154/28,492,36,22/full/0/native.jpg)
OE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/69,489,69,24/full/0/native.jpg)
OUTLET
![](https://ids.lib.harvard.edu/ids/iiif/14296154/333,497,444,37/full/0/native.jpg)
"TEN'S SHOP STORES.. EXCHANGE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/653,546,48,12/full/0/native.jpg)
JRNITURE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/688,432,35,20/full/0/native.jpg)
69
![](https://ids.lib.harvard.edu/ids/iiif/14296154/467,477,118,31/full/0/native.jpg)
ECONOMIC
![](https://ids.lib.harvard.edu/ids/iiif/14296154/333,501,67,33/full/0/native.jpg)
"TEN'S
![](https://ids.lib.harvard.edu/ids/iiif/14296154/368,523,417,27/full/0/native.jpg)
CLOTHES SHOES FOR THE ENTIRE FA JRNITURE BARVAINS
![](https://ids.lib.harvard.edu/ids/iiif/14296154/518,530,25,15/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/526,509,68,14/full/0/native.jpg)
STORES..
![](https://ids.lib.harvard.edu/ids/iiif/14296154/368,542,36,8/full/0/native.jpg)
CLOTHES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/46,550,67,20/full/0/native.jpg)
SHOES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/68,490,945,45/full/0/native.jpg)
OUTLET G'H 540 FURNITURE COACHES MMENS CLOTHING
![](https://ids.lib.harvard.edu/ids/iiif/14296154/971,487,38,14/full/0/native.jpg)
MMENS
![](https://ids.lib.harvard.edu/ids/iiif/14296154/694,477,77,17/full/0/native.jpg)
WVOGELSY
![](https://ids.lib.harvard.edu/ids/iiif/14296154/466,477,462,35/full/0/native.jpg)
ECONOMIC 5 WVOGELSY BYLAND T7S
![](https://ids.lib.harvard.edu/ids/iiif/14296154/973,505,41,14/full/0/native.jpg)
CLOTHING
![](https://ids.lib.harvard.edu/ids/iiif/14296154/907,485,22,12/full/0/native.jpg)
T7S
![](https://ids.lib.harvard.edu/ids/iiif/14296154/735,548,50,12/full/0/native.jpg)
BARVAINS
![](https://ids.lib.harvard.edu/ids/iiif/14296154/588,481,16,29/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/14296154/252,499,45,34/full/0/native.jpg)
G'H
![](https://ids.lib.harvard.edu/ids/iiif/14296154/36,480,981,101/full/0/native.jpg)
VOGEL'S
ECONOMICS
5h IEN'S SHOP10
BYLAND
TONY PRICES
COACHES
FURNITURE
MENS
oTANG
OE OUTLET
STORES
SHOES FOR THE ENTIRE FA
35 EXCHANGE. 3
JRNITURE
WORK CLOTHES OVERALLS
RTSND
BARVAINS
SHOES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/700,480,75,23/full/0/native.jpg)
VOGEL'S
![](https://ids.lib.harvard.edu/ids/iiif/14296154/470,482,135,38/full/0/native.jpg)
ECONOMICS
![](https://ids.lib.harvard.edu/ids/iiif/14296154/238,503,65,40/full/0/native.jpg)
5h
![](https://ids.lib.harvard.edu/ids/iiif/14296154/334,503,69,37/full/0/native.jpg)
IEN'S
![](https://ids.lib.harvard.edu/ids/iiif/14296154/403,503,110,40/full/0/native.jpg)
SHOP10
![](https://ids.lib.harvard.edu/ids/iiif/14296154/852,485,56,20/full/0/native.jpg)
BYLAND
![](https://ids.lib.harvard.edu/ids/iiif/14296154/852,499,22,14/full/0/native.jpg)
TONY
![](https://ids.lib.harvard.edu/ids/iiif/14296154/867,499,32,14/full/0/native.jpg)
PRICES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/851,504,79,22/full/0/native.jpg)
COACHES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/651,489,165,46/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/971,491,46,19/full/0/native.jpg)
MENS
![](https://ids.lib.harvard.edu/ids/iiif/14296154/971,505,46,18/full/0/native.jpg)
oTANG
![](https://ids.lib.harvard.edu/ids/iiif/14296154/36,494,35,24/full/0/native.jpg)
OE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/74,494,70,24/full/0/native.jpg)
OUTLET
![](https://ids.lib.harvard.edu/ids/iiif/14296154/526,512,80,18/full/0/native.jpg)
STORES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/460,533,39,18/full/0/native.jpg)
SHOES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/497,534,25,16/full/0/native.jpg)
FOR
![](https://ids.lib.harvard.edu/ids/iiif/14296154/522,534,25,17/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/546,535,43,16/full/0/native.jpg)
ENTIRE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/587,535,19,15/full/0/native.jpg)
FA
![](https://ids.lib.harvard.edu/ids/iiif/14296154/652,527,26,20/full/0/native.jpg)
35
![](https://ids.lib.harvard.edu/ids/iiif/14296154/680,527,107,23/full/0/native.jpg)
EXCHANGE.
![](https://ids.lib.harvard.edu/ids/iiif/14296154/784,529,22,20/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/14296154/654,547,50,19/full/0/native.jpg)
JRNITURE
![](https://ids.lib.harvard.edu/ids/iiif/14296154/344,543,29,15/full/0/native.jpg)
WORK
![](https://ids.lib.harvard.edu/ids/iiif/14296154/370,543,38,15/full/0/native.jpg)
CLOTHES
![](https://ids.lib.harvard.edu/ids/iiif/14296154/405,543,47,15/full/0/native.jpg)
OVERALLS
![](https://ids.lib.harvard.edu/ids/iiif/14296154/256,544,47,15/full/0/native.jpg)
RTSND
![](https://ids.lib.harvard.edu/ids/iiif/14296154/740,551,48,14/full/0/native.jpg)
BARVAINS