Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
castle | 57.3 | |
| ||
architecture | 52.4 | |
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palace | 50.7 | |
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building | 47.7 | |
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cathedral | 44.1 | |
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ancient | 40.7 | |
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city | 37.5 | |
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fortification | 35.8 | |
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tourism | 33.9 | |
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old | 33.5 | |
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travel | 32.5 | |
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historic | 32.2 | |
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stone | 29.1 | |
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history | 28.7 | |
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house | 28.5 | |
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landmark | 27.1 | |
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monastery | 26.1 | |
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wall | 24.2 | |
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structure | 24.1 | |
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defensive structure | 24 | |
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tower | 23.3 | |
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street | 22.1 | |
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residence | 20.7 | |
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church | 20.4 | |
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historical | 18.9 | |
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religious residence | 18.7 | |
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sky | 18.5 | |
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medieval | 18.3 | |
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town | 17.7 | |
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famous | 15.9 | |
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houses | 15.5 | |
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monument | 15 | |
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tourist | 14.5 | |
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temple | 14.4 | |
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culture | 13.7 | |
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religion | 13.5 | |
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england | 13.4 | |
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antique | 13 | |
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construction | 12.9 | |
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window | 12.9 | |
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brick | 12.5 | |
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buildings | 12.3 | |
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urban | 12.3 | |
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roof | 10.8 | |
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vintage | 10.8 | |
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fortress | 10.7 | |
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outdoors | 10.5 | |
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landscape | 10.4 | |
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facade | 10.3 | |
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exterior | 10.2 | |
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rampart | 10.1 | |
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road | 10 | |
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arch | 9.9 | |
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ruin | 9.7 | |
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village | 9.6 | |
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dwelling | 9.6 | |
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old fashioned | 9.5 | |
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scenery | 9 | |
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vacation | 9 | |
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tramway | 8.5 | |
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hill | 8.4 | |
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place | 8.4 | |
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aged | 8.2 | |
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night | 8 | |
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home | 8 | |
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university | 7.9 | |
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scenic | 7.9 | |
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holiday | 7.9 | |
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scene | 7.8 | |
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tree | 7.8 | |
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architectural | 7.7 | |
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alley | 7.3 | |
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conveyance | 7.2 | |
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art | 7.2 | |
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trees | 7.1 | |
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day | 7.1 | |
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way | 7 | |
|
Google
created on 2022-06-04
Building | 94.1 | |
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Black | 89.6 | |
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Black-and-white | 86.8 | |
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Style | 83.9 | |
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Thoroughfare | 81.9 | |
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Line | 81.8 | |
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Road surface | 79.9 | |
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City | 78.2 | |
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Art | 77.7 | |
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Road | 76.1 | |
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Facade | 75.2 | |
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Monochrome photography | 75 | |
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Tints and shades | 74.9 | |
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Monochrome | 74 | |
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Urban area | 73.2 | |
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Metropolis | 72.1 | |
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Alley | 72 | |
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Street | 71.4 | |
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Cobblestone | 67.6 | |
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History | 67.4 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489214/750,529,29,72/full/0/native.jpg)
Person | 65% | |
|
Categories
Imagga
streetview architecture | 60.1% | |
| ||
nature landscape | 30% | |
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paintings art | 7.8% | |
|
Captions
Microsoft
created on 2022-06-04
a vintage photo of a city street | 92.9% | |
| ||
a vintage photo of a street | 92% | |
| ||
a vintage photo of a city | 91.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489214/337,764,25,15/full/0/native.jpg)
UP
![](https://ids.lib.harvard.edu/ids/iiif/20489214/150,767,25,12/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/20489214/795,479,25,10/full/0/native.jpg)
BAY
![](https://ids.lib.harvard.edu/ids/iiif/20489214/155,99,50,28/full/0/native.jpg)
HAT
![](https://ids.lib.harvard.edu/ids/iiif/20489214/794,478,69,12/full/0/native.jpg)
BAY STATE
![](https://ids.lib.harvard.edu/ids/iiif/20489214/83,760,61,21/full/0/native.jpg)
WORK
![](https://ids.lib.harvard.edu/ids/iiif/20489214/825,478,39,11/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/20489214/147,243,69,25/full/0/native.jpg)
MANUFACTURERS
![](https://ids.lib.harvard.edu/ids/iiif/20489214/791,491,31,10/full/0/native.jpg)
Carpet&
![](https://ids.lib.harvard.edu/ids/iiif/20489214/790,487,80,15/full/0/native.jpg)
Carpet& Furniture Co
![](https://ids.lib.harvard.edu/ids/iiif/20489214/821,487,49,14/full/0/native.jpg)
Furniture Co
![](https://ids.lib.harvard.edu/ids/iiif/20489214/371,757,92,27/full/0/native.jpg)
HANOVER
![](https://ids.lib.harvard.edu/ids/iiif/20489214/870,201,16,31/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/20489214/18,756,57,28/full/0/native.jpg)
647
![](https://ids.lib.harvard.edu/ids/iiif/20489214/862,104,20,42/full/0/native.jpg)
CA
![](https://ids.lib.harvard.edu/ids/iiif/20489214/859,104,33,85/full/0/native.jpg)
CA PET
![](https://ids.lib.harvard.edu/ids/iiif/20489214/479,543,22,7/full/0/native.jpg)
NTON
![](https://ids.lib.harvard.edu/ids/iiif/20489214/866,143,22,47/full/0/native.jpg)
PET
![](https://ids.lib.harvard.edu/ids/iiif/20489214/151,421,57,18/full/0/native.jpg)
MARINER&D
![](https://ids.lib.harvard.edu/ids/iiif/20489214/18,756,487,31/full/0/native.jpg)
647 WORK ON SEC 8.LOOKING UP HANOVER ST.
![](https://ids.lib.harvard.edu/ids/iiif/20489214/466,759,38,22/full/0/native.jpg)
ST.
![](https://ids.lib.harvard.edu/ids/iiif/20489214/182,760,41,20/full/0/native.jpg)
SEC
![](https://ids.lib.harvard.edu/ids/iiif/20489214/909,384,122,53/full/0/native.jpg)
STATE CARPET&FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20489214/863,249,30,88/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20489214/866,348,24,69/full/0/native.jpg)
OMPANY.
![](https://ids.lib.harvard.edu/ids/iiif/20489214/10,212,106,72/full/0/native.jpg)
GLOVESG
![](https://ids.lib.harvard.edu/ids/iiif/20489214/931,384,92,49/full/0/native.jpg)
CARPET&FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20489214/893,750,110,34/full/0/native.jpg)
OGT.19'96.
![](https://ids.lib.harvard.edu/ids/iiif/20489214/222,756,113,31/full/0/native.jpg)
8.LOOKING
![](https://ids.lib.harvard.edu/ids/iiif/20489214/836,468,13,6/full/0/native.jpg)
Б.6
![](https://ids.lib.harvard.edu/ids/iiif/20489214/20,-4,1056,805/full/0/native.jpg)
VER
S
HAT
MANUFACTURERS
MARINER&
7
647 WORK ON SEC 8, LOOKING UP HANOVER ST.
LA
111
WI
URNITURE
BAY STATE
Carpet& Furniture Co
OCT 19'96.
![](https://ids.lib.harvard.edu/ids/iiif/20489214/29,445,22,15/full/0/native.jpg)
VER
![](https://ids.lib.harvard.edu/ids/iiif/20489214/75,452,18,19/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/20489214/160,102,47,29/full/0/native.jpg)
HAT
![](https://ids.lib.harvard.edu/ids/iiif/20489214/151,244,68,28/full/0/native.jpg)
MANUFACTURERS
![](https://ids.lib.harvard.edu/ids/iiif/20489214/153,422,48,20/full/0/native.jpg)
MARINER
![](https://ids.lib.harvard.edu/ids/iiif/20489214/195,426,13,17/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/20489214/44,533,18,19/full/0/native.jpg)
7
![](https://ids.lib.harvard.edu/ids/iiif/20489214/28,760,54,26/full/0/native.jpg)
647
![](https://ids.lib.harvard.edu/ids/iiif/20489214/85,760,63,26/full/0/native.jpg)
WORK
![](https://ids.lib.harvard.edu/ids/iiif/20489214/151,760,29,26/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/20489214/184,760,44,26/full/0/native.jpg)
SEC
![](https://ids.lib.harvard.edu/ids/iiif/20489214/229,760,19,26/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/20489214/243,760,13,26/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/20489214/253,760,82,26/full/0/native.jpg)
LOOKING
![](https://ids.lib.harvard.edu/ids/iiif/20489214/340,760,29,26/full/0/native.jpg)
UP
![](https://ids.lib.harvard.edu/ids/iiif/20489214/374,760,93,26/full/0/native.jpg)
HANOVER
![](https://ids.lib.harvard.edu/ids/iiif/20489214/469,760,39,26/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20489214/494,760,16,26/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489214/791,-3,103,107/full/0/native.jpg)
LA
![](https://ids.lib.harvard.edu/ids/iiif/20489214/854,88,171,158/full/0/native.jpg)
111
![](https://ids.lib.harvard.edu/ids/iiif/20489214/856,255,209,171/full/0/native.jpg)
WI
![](https://ids.lib.harvard.edu/ids/iiif/20489214/979,390,47,30/full/0/native.jpg)
URNITURE
![](https://ids.lib.harvard.edu/ids/iiif/20489214/796,481,27,14/full/0/native.jpg)
BAY
![](https://ids.lib.harvard.edu/ids/iiif/20489214/826,479,40,15/full/0/native.jpg)
STATE
![](https://ids.lib.harvard.edu/ids/iiif/20489214/792,491,28,15/full/0/native.jpg)
Carpet
![](https://ids.lib.harvard.edu/ids/iiif/20489214/823,490,40,15/full/0/native.jpg)
Furniture
![](https://ids.lib.harvard.edu/ids/iiif/20489214/859,490,14,13/full/0/native.jpg)
Co
![](https://ids.lib.harvard.edu/ids/iiif/20489214/899,756,41,26/full/0/native.jpg)
OCT
![](https://ids.lib.harvard.edu/ids/iiif/20489214/940,756,57,26/full/0/native.jpg)
19'96