Machine Generated Data
Tags
Amazon
created on 2022-06-04
Building | 94.2 | |
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Neighborhood | 94.2 | |
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Urban | 94.2 | |
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Tarmac | 90.2 | |
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Asphalt | 90.2 | |
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Town | 87.1 | |
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City | 87.1 | |
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Downtown | 87.1 | |
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Road | 84 | |
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Home Decor | 79.9 | |
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Intersection | 74.2 | |
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Architecture | 68.5 | |
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Meal | 61.9 | |
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Food | 61.9 | |
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Pedestrian | 60.4 | |
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Advertisement | 58 | |
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Poster | 56 | |
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Imagga
created on 2022-06-04
building | 38.5 | |
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architecture | 36.5 | |
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house | 26.8 | |
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city | 26.6 | |
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structure | 19.5 | |
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window | 18.7 | |
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street | 17.5 | |
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travel | 16.9 | |
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old | 16.7 | |
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town | 15.8 | |
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office | 15.3 | |
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urban | 14.9 | |
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turnstile | 14.6 | |
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device | 14.5 | |
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wall | 13.7 | |
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home | 13.6 | |
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gate | 13.4 | |
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business | 13.4 | |
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door | 13 | |
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air conditioner | 12.7 | |
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brick | 11.3 | |
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tourism | 10.7 | |
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lamp | 10.5 | |
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balcony | 10.4 | |
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construction | 10.3 | |
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cooling system | 10.2 | |
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decoration | 9.9 | |
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windows | 9.6 | |
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vending machine | 9.4 | |
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light | 9.4 | |
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stone | 9.3 | |
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movable barrier | 9.2 | |
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facade | 9.2 | |
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electronic equipment | 9 | |
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center | 8.9 | |
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cinema | 8.8 | |
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houses | 8.7 | |
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entrance | 8.7 | |
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residential | 8.6 | |
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roof | 8.6 | |
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design | 8.4 | |
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white goods | 8.4 | |
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wood | 8.3 | |
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exterior | 8.3 | |
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historic | 8.3 | |
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graffito | 8.2 | |
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mechanism | 8.2 | |
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machine | 8.1 | |
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transportation | 8.1 | |
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equipment | 8 | |
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night | 8 | |
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billboard | 7.7 | |
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slot machine | 7.6 | |
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buildings | 7.6 | |
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barrier | 7.5 | |
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destination | 7.5 | |
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style | 7.4 | |
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home appliance | 7.4 | |
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metal | 7.2 | |
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landmark | 7.2 | |
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river | 7.1 | |
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interior | 7.1 | |
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Google
created on 2022-06-04
Window | 92 | |
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Building | 88.9 | |
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Rectangle | 82.7 | |
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Font | 79.3 | |
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Door | 77.2 | |
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Facade | 76.8 | |
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Monochrome photography | 71.4 | |
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Monochrome | 69.7 | |
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History | 67 | |
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Room | 64.5 | |
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Paper product | 61.4 | |
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Advertising | 59.6 | |
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House | 54 | |
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Street | 51.7 | |
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Microsoft
created on 2022-06-04
text | 99.4 | |
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black and white | 96.5 | |
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street | 94.5 | |
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window | 94 | |
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building | 85.5 | |
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city | 80.5 | |
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house | 77.3 | |
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monochrome | 72.5 | |
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white | 62.4 | |
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door | 60.9 | |
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Color Analysis
Categories
Imagga
streetview architecture | 37.9% | |
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cars vehicles | 33.2% | |
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text visuals | 14% | |
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beaches seaside | 9.2% | |
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interior objects | 3% | |
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paintings art | 2.2% | |
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Captions
Microsoft
created on 2022-06-04
a store inside of a building | 89.7% | |
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a store front at day | 85.6% | |
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a store front of a building | 85.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488718/303,234,163,21/full/0/native.jpg)
LEWANDOS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/475,244,40,9/full/0/native.jpg)
CLEANSERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/17,243,112,19/full/0/native.jpg)
MANAH
![](https://ids.lib.harvard.edu/ids/iiif/20488718/17,243,156,19/full/0/native.jpg)
MANAH N
![](https://ids.lib.harvard.edu/ids/iiif/20488718/155,244,18,16/full/0/native.jpg)
N
![](https://ids.lib.harvard.edu/ids/iiif/20488718/281,766,50,16/full/0/native.jpg)
-290
![](https://ids.lib.harvard.edu/ids/iiif/20488718/947,102,36,10/full/0/native.jpg)
MORGAN
![](https://ids.lib.harvard.edu/ids/iiif/20488718/485,233,22,8/full/0/native.jpg)
DYERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/334,763,177,23/full/0/native.jpg)
BOYLSTON ST.
![](https://ids.lib.harvard.edu/ids/iiif/20488718/440,109,81,10/full/0/native.jpg)
LAUNDERERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/17,761,494,26/full/0/native.jpg)
A-RR.BLDGS.Ns.284 -290 BOYLSTON ST.
![](https://ids.lib.harvard.edu/ids/iiif/20488718/945,91,42,11/full/0/native.jpg)
BEAUDE
![](https://ids.lib.harvard.edu/ids/iiif/20488718/443,83,75,12/full/0/native.jpg)
CLEANBERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/459,97,44,10/full/0/native.jpg)
EYERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/414,413,32,6/full/0/native.jpg)
LEWARDOS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/946,114,38,10/full/0/native.jpg)
MICCINERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/848,761,138,25/full/0/native.jpg)
Oct.131919.
![](https://ids.lib.harvard.edu/ids/iiif/20488718/307,102,47,13/full/0/native.jpg)
EXECUTIVE
![](https://ids.lib.harvard.edu/ids/iiif/20488718/17,761,264,26/full/0/native.jpg)
A-RR.BLDGS.Ns.284
![](https://ids.lib.harvard.edu/ids/iiif/20488718/307,102,89,14/full/0/native.jpg)
EXECUTIVE 077.314
![](https://ids.lib.harvard.edu/ids/iiif/20488718/355,103,41,10/full/0/native.jpg)
077.314
![](https://ids.lib.harvard.edu/ids/iiif/20488718/10,78,982,712/full/0/native.jpg)
LEWANDOS
CLEANSERS
DVERS
LAUNDERERS
EXECUTIVE OFFICEE
DYERS
ΜΑΝΑΗ ΑΝ
LEWANDOS CLEANSERS
V
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
MATARO
A-22.BLDGS. Nos 284-290 BOYLSTON ST.
PU
BEY
BEAUDE
MORGAN
MILLINERS
Ancaked
OCT. 13,1919.
![](https://ids.lib.harvard.edu/ids/iiif/20488718/283,77,152,34/full/0/native.jpg)
LEWANDOS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/445,85,75,14/full/0/native.jpg)
CLEANSERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/461,97,46,15/full/0/native.jpg)
DVERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/308,104,49,16/full/0/native.jpg)
EXECUTIVE
![](https://ids.lib.harvard.edu/ids/iiif/20488718/485,234,28,12/full/0/native.jpg)
DYERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/10,242,117,26/full/0/native.jpg)
ΜΑΝΑΗ
![](https://ids.lib.harvard.edu/ids/iiif/20488718/135,242,35,24/full/0/native.jpg)
ΑΝ
![](https://ids.lib.harvard.edu/ids/iiif/20488718/255,272,17,13/full/0/native.jpg)
V
![](https://ids.lib.harvard.edu/ids/iiif/20488718/264,297,44,14/full/0/native.jpg)
MATARO
![](https://ids.lib.harvard.edu/ids/iiif/20488718/228,767,108,20/full/0/native.jpg)
284-290
![](https://ids.lib.harvard.edu/ids/iiif/20488718/472,767,38,20/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20488718/263,233,19,10/full/0/native.jpg)
PU
![](https://ids.lib.harvard.edu/ids/iiif/20488718/615,402,30,11/full/0/native.jpg)
BEY
![](https://ids.lib.harvard.edu/ids/iiif/20488718/945,93,37,14/full/0/native.jpg)
BEAUDE
![](https://ids.lib.harvard.edu/ids/iiif/20488718/948,102,38,16/full/0/native.jpg)
MORGAN
![](https://ids.lib.harvard.edu/ids/iiif/20488718/947,115,40,12/full/0/native.jpg)
MILLINERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/941,128,45,14/full/0/native.jpg)
Ancaked
![](https://ids.lib.harvard.edu/ids/iiif/20488718/849,765,53,24/full/0/native.jpg)
OCT
![](https://ids.lib.harvard.edu/ids/iiif/20488718/898,765,86,25/full/0/native.jpg)
13,1919
![](https://ids.lib.harvard.edu/ids/iiif/20488718/441,110,83,15/full/0/native.jpg)
LAUNDERERS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/356,103,44,15/full/0/native.jpg)
OFFICEE
![](https://ids.lib.harvard.edu/ids/iiif/20488718/262,283,254,17/full/0/native.jpg)
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
![](https://ids.lib.harvard.edu/ids/iiif/20488718/21,767,23,20/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/20488718/39,767,14,20/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20488718/50,767,124,20/full/0/native.jpg)
22.BLDGS
![](https://ids.lib.harvard.edu/ids/iiif/20488718/168,767,19,20/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488718/174,767,52,20/full/0/native.jpg)
Nos
![](https://ids.lib.harvard.edu/ids/iiif/20488718/338,767,134,20/full/0/native.jpg)
BOYLSTON