Machine Generated Data
Tags
Amazon
created on 2022-06-04
Person | 98.1 | |
| ||
Human | 98.1 | |
| ||
Downtown | 96.9 | |
| ||
City | 96.9 | |
| ||
Urban | 96.9 | |
| ||
Building | 96.9 | |
| ||
Town | 96.9 | |
| ||
Architecture | 90.4 | |
| ||
Person | 89.1 | |
| ||
Pedestrian | 88.2 | |
| ||
Road | 85.7 | |
| ||
Train | 84.8 | |
| ||
Vehicle | 84.8 | |
| ||
Transportation | 84.8 | |
| ||
Nature | 82.3 | |
| ||
Train | 77.6 | |
| ||
Street | 77.2 | |
| ||
Outdoors | 76.4 | |
| ||
Intersection | 75.5 | |
| ||
Spire | 73 | |
| ||
Tower | 73 | |
| ||
Steeple | 73 | |
| ||
Person | 70.6 | |
| ||
Person | 69.4 | |
| ||
Water | 69.2 | |
| ||
Person | 65.3 | |
| ||
Path | 63.3 | |
| ||
Housing | 59.8 | |
| ||
Tarmac | 58.8 | |
| ||
Asphalt | 58.8 | |
| ||
Neighborhood | 58.1 | |
| ||
Condo | 57.7 | |
| ||
Office Building | 56.5 | |
| ||
Train | 54.7 | |
| ||
Person | 44 | |
|
Imagga
created on 2022-06-04
palace | 100 | |
| ||
residence | 96.3 | |
| ||
building | 75.1 | |
| ||
house | 71.4 | |
| ||
architecture | 61.3 | |
| ||
city | 46.6 | |
| ||
dwelling | 46 | |
| ||
landmark | 31.7 | |
| ||
tourism | 31.4 | |
| ||
travel | 31 | |
| ||
structure | 29.9 | |
| ||
old | 27.9 | |
| ||
history | 27.8 | |
| ||
monument | 26.2 | |
| ||
ancient | 26 | |
| ||
historic | 25.7 | |
| ||
tower | 25.1 | |
| ||
sky | 24.3 | |
| ||
housing | 22.7 | |
| ||
famous | 19.6 | |
| ||
urban | 19.3 | |
| ||
stone | 18.8 | |
| ||
castle | 18.2 | |
| ||
tourist | 18.2 | |
| ||
capital | 18.1 | |
| ||
river | 17.8 | |
| ||
historical | 17 | |
| ||
church | 15.8 | |
| ||
dome | 15 | |
| ||
facade | 15 | |
| ||
town | 14.9 | |
| ||
england | 14.3 | |
| ||
cityscape | 14.2 | |
| ||
buildings | 14.2 | |
| ||
exterior | 12.9 | |
| ||
culture | 12 | |
| ||
fortress | 11.7 | |
| ||
bridge | 11.6 | |
| ||
landscape | 11.2 | |
| ||
night | 10.7 | |
| ||
royal | 10.6 | |
| ||
cathedral | 10.6 | |
| ||
column | 10.3 | |
| ||
wall | 10.3 | |
| ||
boat | 10.3 | |
| ||
street | 10.1 | |
| ||
water | 10 | |
| ||
vacation | 9.8 | |
| ||
place | 9.3 | |
| ||
monastery | 9 | |
| ||
grand | 8.7 | |
| ||
classical | 8.6 | |
| ||
arch | 8.2 | |
| ||
temple | 8.1 | |
| ||
sunset | 8.1 | |
| ||
religion | 8.1 | |
| ||
holiday | 7.9 | |
| ||
color | 7.8 | |
| ||
architectural | 7.7 | |
| ||
attraction | 7.7 | |
| ||
skyline | 7.6 | |
| ||
window | 7.5 | |
| ||
outdoors | 7.5 | |
| ||
vintage | 7.5 | |
| ||
square | 7.3 | |
| ||
university | 7.2 | |
| ||
day | 7.1 | |
|
Google
created on 2022-06-04
Building | 95.6 | |
| ||
Window | 91.8 | |
| ||
Black | 89.7 | |
| ||
Black-and-white | 85.4 | |
| ||
Style | 83.8 | |
| ||
Neighbourhood | 81.6 | |
| ||
Urban design | 79.7 | |
| ||
Condominium | 79.4 | |
| ||
City | 78 | |
| ||
Tints and shades | 77.3 | |
| ||
Facade | 76.6 | |
| ||
Sky | 75.8 | |
| ||
Road | 75.8 | |
| ||
Metropolis | 73.7 | |
| ||
Monochrome photography | 73.2 | |
| ||
Monochrome | 72.5 | |
| ||
Tower block | 72.5 | |
| ||
Electricity | 70.6 | |
| ||
Street | 70 | |
| ||
Alley | 68.3 | |
|
Microsoft
created on 2022-06-04
black and white | 97.5 | |
| ||
outdoor | 92.5 | |
| ||
building | 89.9 | |
| ||
white | 86 | |
| ||
sky | 78.8 | |
| ||
house | 77.5 | |
| ||
monochrome | 75.7 | |
| ||
black | 74.5 | |
| ||
old | 72.6 | |
| ||
city | 67.3 | |
|
Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 51.2% | |
| ||
streetview architecture | 43.2% | |
| ||
paintings art | 5% | |
|
Captions
Microsoft
created on 2022-06-04
a vintage photo of an old building | 86.9% | |
| ||
a vintage photo of a building | 86.6% | |
| ||
a vintage photo of a large building | 85.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489205/519,497,22,11/full/0/native.jpg)
ALL
![](https://ids.lib.harvard.edu/ids/iiif/20489205/285,759,20,14/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/20489205/73,752,95,22/full/0/native.jpg)
STAIRWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489205/484,460,70,36/full/0/native.jpg)
HUB
![](https://ids.lib.harvard.edu/ids/iiif/20489205/492,495,85,15/full/0/native.jpg)
FOR ALL USES
![](https://ids.lib.harvard.edu/ids/iiif/20489205/492,497,23,12/full/0/native.jpg)
FOR
![](https://ids.lib.harvard.edu/ids/iiif/20489205/552,462,32,13/full/0/native.jpg)
RANGES
![](https://ids.lib.harvard.edu/ids/iiif/20489205/489,512,24,12/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20489205/546,496,31,12/full/0/native.jpg)
USES
![](https://ids.lib.harvard.edu/ids/iiif/20489205/179,757,97,21/full/0/native.jpg)
GOVERING
![](https://ids.lib.harvard.edu/ids/iiif/20489205/551,479,35,15/full/0/native.jpg)
HEATERS
![](https://ids.lib.harvard.edu/ids/iiif/20489205/515,511,40,11/full/0/native.jpg)
WORLD'S
![](https://ids.lib.harvard.edu/ids/iiif/20489205/488,509,95,16/full/0/native.jpg)
THE WORLD'S BEST.
![](https://ids.lib.harvard.edu/ids/iiif/20489205/931,749,53,30/full/0/native.jpg)
7'98
![](https://ids.lib.harvard.edu/ids/iiif/20489205/431,251,101,46/full/0/native.jpg)
RIENTAL
![](https://ids.lib.harvard.edu/ids/iiif/20489205/4,750,394,29/full/0/native.jpg)
$1181. STAIRWAY GOVERING IN SCOLLAY
![](https://ids.lib.harvard.edu/ids/iiif/20489205/877,749,107,32/full/0/native.jpg)
JUNG 7'98
![](https://ids.lib.harvard.edu/ids/iiif/20489205/557,509,26,13/full/0/native.jpg)
BEST.
![](https://ids.lib.harvard.edu/ids/iiif/20489205/878,753,51,25/full/0/native.jpg)
JUNG
![](https://ids.lib.harvard.edu/ids/iiif/20489205/972,244,43,18/full/0/native.jpg)
WFG
![](https://ids.lib.harvard.edu/ids/iiif/20489205/452,326,81,35/full/0/native.jpg)
COMPANY
![](https://ids.lib.harvard.edu/ids/iiif/20489205/4,750,57,25/full/0/native.jpg)
$1181.
![](https://ids.lib.harvard.edu/ids/iiif/20489205/545,524,19,8/full/0/native.jpg)
Union
![](https://ids.lib.harvard.edu/ids/iiif/20489205/317,753,81,21/full/0/native.jpg)
SCOLLAY
![](https://ids.lib.harvard.edu/ids/iiif/20489205/930,241,85,20/full/0/native.jpg)
1993 WFG
![](https://ids.lib.harvard.edu/ids/iiif/20489205/428,232,52,46/full/0/native.jpg)
TT
![](https://ids.lib.harvard.edu/ids/iiif/20489205/484,522,97,14/full/0/native.jpg)
Salesroaas48:54 Union SUPER
![](https://ids.lib.harvard.edu/ids/iiif/20489205/484,522,65,14/full/0/native.jpg)
Salesroaas48:54
![](https://ids.lib.harvard.edu/ids/iiif/20489205/834,365,37,26/full/0/native.jpg)
CUPIT
![](https://ids.lib.harvard.edu/ids/iiif/20489205/562,445,7,7/full/0/native.jpg)
79
![](https://ids.lib.harvard.edu/ids/iiif/20489205/898,409,16,6/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/20489205/780,358,51,37/full/0/native.jpg)
RATICIPATE
![](https://ids.lib.harvard.edu/ids/iiif/20489205/565,525,16,6/full/0/native.jpg)
SUPER
![](https://ids.lib.harvard.edu/ids/iiif/20489205/931,242,35,13/full/0/native.jpg)
1993
![](https://ids.lib.harvard.edu/ids/iiif/20489205/4,253,982,528/full/0/native.jpg)
*181. STAIRWAY GOVERING IN SCOLLAY
ENTAL
RANGES
FOR ALL USES
THE WORLD'S BEST.
Salesrooms 48 540 S
FORD HOUSE
JUNE 7'98
![](https://ids.lib.harvard.edu/ids/iiif/20489205/4,753,24,26/full/0/native.jpg)
*
![](https://ids.lib.harvard.edu/ids/iiif/20489205/23,753,37,26/full/0/native.jpg)
181
![](https://ids.lib.harvard.edu/ids/iiif/20489205/57,753,10,26/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489205/73,753,101,26/full/0/native.jpg)
STAIRWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489205/181,753,99,26/full/0/native.jpg)
GOVERING
![](https://ids.lib.harvard.edu/ids/iiif/20489205/286,753,25,26/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/20489205/317,753,91,26/full/0/native.jpg)
SCOLLAY
![](https://ids.lib.harvard.edu/ids/iiif/20489205/461,256,70,38/full/0/native.jpg)
ENTAL
![](https://ids.lib.harvard.edu/ids/iiif/20489205/553,464,35,16/full/0/native.jpg)
RANGES
![](https://ids.lib.harvard.edu/ids/iiif/20489205/495,498,23,16/full/0/native.jpg)
FOR
![](https://ids.lib.harvard.edu/ids/iiif/20489205/521,498,25,15/full/0/native.jpg)
ALL
![](https://ids.lib.harvard.edu/ids/iiif/20489205/547,496,35,16/full/0/native.jpg)
USES
![](https://ids.lib.harvard.edu/ids/iiif/20489205/491,513,25,16/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20489205/516,511,43,17/full/0/native.jpg)
WORLD'S
![](https://ids.lib.harvard.edu/ids/iiif/20489205/559,510,25,16/full/0/native.jpg)
BEST
![](https://ids.lib.harvard.edu/ids/iiif/20489205/487,525,42,15/full/0/native.jpg)
Salesrooms
![](https://ids.lib.harvard.edu/ids/iiif/20489205/526,525,12,13/full/0/native.jpg)
48
![](https://ids.lib.harvard.edu/ids/iiif/20489205/538,524,18,14/full/0/native.jpg)
540
![](https://ids.lib.harvard.edu/ids/iiif/20489205/564,524,10,13/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/20489205/631,269,47,31/full/0/native.jpg)
FORD
![](https://ids.lib.harvard.edu/ids/iiif/20489205/674,253,67,36/full/0/native.jpg)
HOUSE
![](https://ids.lib.harvard.edu/ids/iiif/20489205/876,752,57,29/full/0/native.jpg)
JUNE
![](https://ids.lib.harvard.edu/ids/iiif/20489205/932,751,54,29/full/0/native.jpg)
7'98