Machine Generated Data
Tags
Amazon
created on 2022-06-04
Downtown | 99.9 | |
| ||
City | 99.9 | |
| ||
Urban | 99.9 | |
| ||
Building | 99.9 | |
| ||
Town | 99.9 | |
| ||
Person | 99 | |
| ||
Human | 99 | |
| ||
Architecture | 98.4 | |
| ||
Person | 93 | |
| ||
Person | 92.3 | |
| ||
Metropolis | 88.1 | |
| ||
Person | 86 | |
| ||
Office Building | 81 | |
| ||
Person | 73.4 | |
| ||
Road | 73.1 | |
| ||
Town Square | 73 | |
| ||
Plaza | 73 | |
| ||
Spire | 68.7 | |
| ||
Steeple | 68.7 | |
| ||
Tower | 68.7 | |
| ||
Person | 67.2 | |
| ||
Dome | 63.5 | |
| ||
Cow | 62.8 | |
| ||
Animal | 62.8 | |
| ||
Mammal | 62.8 | |
| ||
Cattle | 62.8 | |
| ||
Tarmac | 59 | |
| ||
Asphalt | 59 | |
| ||
Flare | 58.9 | |
| ||
Light | 58.9 | |
| ||
Handrail | 58.7 | |
| ||
Banister | 58.7 | |
| ||
Person | 58.2 | |
| ||
Castle | 55 | |
| ||
Person | 48.5 | |
|
Imagga
created on 2022-06-04
building | 59.4 | |
| ||
liner | 54.4 | |
| ||
architecture | 45.8 | |
| ||
structure | 44.7 | |
| ||
passenger ship | 44.6 | |
| ||
planetarium | 41.5 | |
| ||
ship | 39.2 | |
| ||
city | 33.3 | |
| ||
vessel | 25.3 | |
| ||
travel | 24.7 | |
| ||
old | 24.4 | |
| ||
history | 24.2 | |
| ||
urban | 23.6 | |
| ||
tower | 23.5 | |
| ||
landmark | 22.6 | |
| ||
river | 21.4 | |
| ||
palace | 19.9 | |
| ||
tourism | 19.8 | |
| ||
sky | 19.8 | |
| ||
water | 17.4 | |
| ||
dome | 17.3 | |
| ||
construction | 17.1 | |
| ||
bridge | 15.9 | |
| ||
church | 15.7 | |
| ||
tunnel | 14.4 | |
| ||
prison | 14.4 | |
| ||
night | 13.3 | |
| ||
monument | 13.1 | |
| ||
famous | 13 | |
| ||
town | 13 | |
| ||
stone | 12.7 | |
| ||
religion | 12.6 | |
| ||
buildings | 12.3 | |
| ||
ancient | 12.1 | |
| ||
house | 12.1 | |
| ||
exterior | 12 | |
| ||
wall | 12 | |
| ||
culture | 12 | |
| ||
landscape | 11.9 | |
| ||
craft | 11.7 | |
| ||
center | 11.5 | |
| ||
correctional institution | 10.8 | |
| ||
castle | 10.5 | |
| ||
cityscape | 10.4 | |
| ||
brick | 10.4 | |
| ||
street | 10.1 | |
| ||
historic | 10.1 | |
| ||
road | 9.9 | |
| ||
roof | 9.9 | |
| ||
transportation | 9.9 | |
| ||
reflection | 9.8 | |
| ||
summer | 9.7 | |
| ||
fortress | 9.4 | |
| ||
traditional | 9.2 | |
| ||
industrial | 9.1 | |
| ||
cathedral | 8.9 | |
| ||
passageway | 8.7 | |
| ||
passage | 8.7 | |
| ||
industry | 8.5 | |
| ||
historical | 8.5 | |
| ||
window | 8.3 | |
| ||
penal institution | 8.1 | |
| ||
residence | 7.9 | |
| ||
day | 7.9 | |
| ||
scene | 7.8 | |
| ||
capital | 7.6 | |
| ||
power | 7.6 | |
| ||
place | 7.5 | |
| ||
boat | 7.4 | |
| ||
symbol | 7.4 | |
| ||
square | 7.2 | |
| ||
car | 7.2 | |
| ||
steel | 7.1 | |
|
Google
created on 2022-06-04
Black | 89.8 | |
| ||
Building | 88.2 | |
| ||
Monochrome | 75.7 | |
| ||
Facade | 72.2 | |
| ||
Monochrome photography | 70.5 | |
| ||
City | 69.7 | |
| ||
Rectangle | 69 | |
| ||
Arch | 66.2 | |
| ||
History | 66 | |
| ||
Science | 64.6 | |
| ||
Stock photography | 62.4 | |
| ||
Paper product | 54 | |
| ||
Holy places | 51.2 | |
| ||
Circle | 50.6 | |
| ||
Art | 50.5 | |
| ||
Electricity | 50.3 | |
|
Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 100% | |
|
Captions
Microsoft
created on 2022-06-04
a vintage photo of an old building | 90.4% | |
| ||
a vintage photo of a castle | 87.5% | |
| ||
a vintage photo of a large building | 87.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489052/717,213,26,24/full/0/native.jpg)
TEAS
![](https://ids.lib.harvard.edu/ids/iiif/20489052/289,268,86,16/full/0/native.jpg)
BRACKWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489052/278,693,145,21/full/0/native.jpg)
STAIRWAYS
![](https://ids.lib.harvard.edu/ids/iiif/20489052/637,209,47,10/full/0/native.jpg)
MERCHANTS
![](https://ids.lib.harvard.edu/ids/iiif/20489052/79,689,131,26/full/0/native.jpg)
BUILDING
![](https://ids.lib.harvard.edu/ids/iiif/20489052/79,689,547,26/full/0/native.jpg)
BUILDING OYER STAIRWAYS SG
![](https://ids.lib.harvard.edu/ids/iiif/20489052/679,198,69,39/full/0/native.jpg)
LIPTINS TEAS
![](https://ids.lib.harvard.edu/ids/iiif/20489052/210,693,67,19/full/0/native.jpg)
OYER
![](https://ids.lib.harvard.edu/ids/iiif/20489052/299,279,64,17/full/0/native.jpg)
SMITH
![](https://ids.lib.harvard.edu/ids/iiif/20489052/995,396,27,8/full/0/native.jpg)
HAMP
![](https://ids.lib.harvard.edu/ids/iiif/20489052/652,203,20,5/full/0/native.jpg)
NIKE
![](https://ids.lib.harvard.edu/ids/iiif/20489052/588,696,38,17/full/0/native.jpg)
SG
![](https://ids.lib.harvard.edu/ids/iiif/20489052/683,198,44,33/full/0/native.jpg)
LIPTINS
![](https://ids.lib.harvard.edu/ids/iiif/20489052/83,202,938,517/full/0/native.jpg)
BUILDING OY
BRACKWAY
SMITH
ASU
SEN V
MET SOF
WINE
MERCHANTS
VIA
HAM
![](https://ids.lib.harvard.edu/ids/iiif/20489052/83,692,123,22/full/0/native.jpg)
BUILDING
![](https://ids.lib.harvard.edu/ids/iiif/20489052/211,695,33,20/full/0/native.jpg)
OY
![](https://ids.lib.harvard.edu/ids/iiif/20489052/290,270,88,17/full/0/native.jpg)
BRACKWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489052/303,284,60,15/full/0/native.jpg)
SMITH
![](https://ids.lib.harvard.edu/ids/iiif/20489052/378,458,19,13/full/0/native.jpg)
ASU
![](https://ids.lib.harvard.edu/ids/iiif/20489052/555,254,30,21/full/0/native.jpg)
SEN
![](https://ids.lib.harvard.edu/ids/iiif/20489052/591,248,13,15/full/0/native.jpg)
V
![](https://ids.lib.harvard.edu/ids/iiif/20489052/529,697,54,22/full/0/native.jpg)
MET
![](https://ids.lib.harvard.edu/ids/iiif/20489052/586,696,49,21/full/0/native.jpg)
SOF
![](https://ids.lib.harvard.edu/ids/iiif/20489052/650,202,27,11/full/0/native.jpg)
WINE
![](https://ids.lib.harvard.edu/ids/iiif/20489052/638,210,49,12/full/0/native.jpg)
MERCHANTS
![](https://ids.lib.harvard.edu/ids/iiif/20489052/642,235,38,13/full/0/native.jpg)
VIA
![](https://ids.lib.harvard.edu/ids/iiif/20489052/995,396,26,12/full/0/native.jpg)
HAM