Machine Generated Data
Tags
Amazon
created on 2022-01-08
Nature | 90.1 | |
| ||
Transportation | 87.3 | |
| ||
Tarmac | 85.5 | |
| ||
Asphalt | 85.5 | |
| ||
Road | 84.9 | |
| ||
Vehicle | 81.6 | |
| ||
Truck | 80.7 | |
| ||
Urban | 78.9 | |
| ||
Outdoors | 76.8 | |
| ||
Railway | 76.6 | |
| ||
Rail | 76.6 | |
| ||
Train Track | 76.6 | |
| ||
Intersection | 74.7 | |
| ||
Train | 70.8 | |
| ||
Machine | 66.8 | |
| ||
Building | 64.5 | |
| ||
Shelter | 62.3 | |
| ||
Countryside | 62.3 | |
| ||
Rural | 62.3 | |
| ||
Terminal | 56.3 | |
|
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
architecture | 56.1 | |
| ||
building | 54.4 | |
| ||
house | 41.2 | |
| ||
residence | 31.7 | |
| ||
palace | 28.7 | |
| ||
sky | 27.8 | |
| ||
old | 26.5 | |
| ||
travel | 25.4 | |
| ||
city | 25 | |
| ||
church | 24.1 | |
| ||
monastery | 23.8 | |
| ||
structure | 23.1 | |
| ||
temple | 21.5 | |
| ||
historic | 20.2 | |
| ||
religion | 19.7 | |
| ||
construction | 18.9 | |
| ||
history | 18.8 | |
| ||
tourism | 18.2 | |
| ||
station | 17.9 | |
| ||
ancient | 16.5 | |
| ||
landmark | 15.4 | |
| ||
religious residence | 15.3 | |
| ||
home | 15.2 | |
| ||
dome | 15.1 | |
| ||
monument | 15 | |
| ||
roof | 14.7 | |
| ||
dwelling | 14.6 | |
| ||
public house | 14 | |
| ||
town | 13.9 | |
| ||
railway station | 13.3 | |
| ||
historical | 13.2 | |
| ||
famous | 13 | |
| ||
landscape | 12.7 | |
| ||
tower | 12.5 | |
| ||
culture | 12 | |
| ||
window | 11.4 | |
| ||
estate | 11.4 | |
| ||
exterior | 11.1 | |
| ||
clouds | 11 | |
| ||
terminal | 10.6 | |
| ||
facility | 10.6 | |
| ||
flagpole | 10.6 | |
| ||
grass | 10.3 | |
| ||
real | 9.5 | |
| ||
buildings | 9.5 | |
| ||
religious | 9.4 | |
| ||
office | 9.3 | |
| ||
street | 9.2 | |
| ||
tile | 9.2 | |
| ||
museum | 8.9 | |
| ||
cross | 8.5 | |
| ||
brick | 8.5 | |
| ||
outdoor | 8.4 | |
| ||
garage | 8.3 | |
| ||
housing | 8.2 | |
| ||
staff | 8.2 | |
| ||
cathedral | 8 | |
| ||
wooden | 7.9 | |
| ||
property | 7.7 | |
| ||
summer | 7.7 | |
| ||
architectural | 7.7 | |
| ||
residential | 7.7 | |
| ||
god | 7.7 | |
| ||
garden | 7.7 | |
| ||
capital | 7.6 | |
| ||
park | 7.5 | |
| ||
school | 7.5 | |
| ||
vacation | 7.4 | |
| ||
university | 7.3 | |
| ||
column | 7.2 | |
| ||
modern | 7 | |
| ||
urban | 7 | |
|
Google
created on 2022-01-08
Sky | 94.3 | |
| ||
Building | 92 | |
| ||
Window | 87.9 | |
| ||
Electricity | 85 | |
| ||
Wheel | 82.3 | |
| ||
Line | 81.7 | |
| ||
Vehicle | 80.1 | |
| ||
Overhead power line | 79.6 | |
| ||
Tints and shades | 74.7 | |
| ||
Facade | 74.1 | |
| ||
Monochrome | 71.7 | |
| ||
House | 71.5 | |
| ||
Monochrome photography | 69.9 | |
| ||
Public utility | 69.3 | |
| ||
Road | 66.6 | |
| ||
Motor vehicle | 66.5 | |
| ||
History | 65.8 | |
| ||
Electrical supply | 65.7 | |
| ||
City | 65.5 | |
| ||
Paper product | 65 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18785410/59,441,171,90/full/0/native.jpg)
Truck | 80.7% | |
|
Categories
Imagga
streetview architecture | 73.1% | |
| ||
nature landscape | 24.9% | |
|
Captions
Microsoft
created on 2022-01-08
a train is parked on the side of a road | 59.6% | |
| ||
a train is parked on the side of the road | 57.8% | |
| ||
a train is parked on the side of the street | 56.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18785410/499,388,43,13/full/0/native.jpg)
WHEELER
![](https://ids.lib.harvard.edu/ids/iiif/18785410/457,392,36,13/full/0/native.jpg)
HOLMES
![](https://ids.lib.harvard.edu/ids/iiif/18785410/295,404,34,11/full/0/native.jpg)
SPECIALTY
![](https://ids.lib.harvard.edu/ids/iiif/18785410/457,388,85,16/full/0/native.jpg)
HOLMES & WHEELER
![](https://ids.lib.harvard.edu/ids/iiif/18785410/609,371,45,13/full/0/native.jpg)
REPAIRING
![](https://ids.lib.harvard.edu/ids/iiif/18785410/590,370,65,15/full/0/native.jpg)
SHOE REPAIRING
![](https://ids.lib.harvard.edu/ids/iiif/18785410/370,398,57,13/full/0/native.jpg)
CLARKIE'S
![](https://ids.lib.harvard.edu/ids/iiif/18785410/492,393,7,7/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18785410/590,374,23,11/full/0/native.jpg)
SHOE
![](https://ids.lib.harvard.edu/ids/iiif/18785410/476,442,17,9/full/0/native.jpg)
COAL
![](https://ids.lib.harvard.edu/ids/iiif/18785410/603,366,33,10/full/0/native.jpg)
DERRY
![](https://ids.lib.harvard.edu/ids/iiif/18785410/331,403,19,10/full/0/native.jpg)
CO.K
![](https://ids.lib.harvard.edu/ids/iiif/18785410/599,387,44,12/full/0/native.jpg)
PAALOR
![](https://ids.lib.harvard.edu/ids/iiif/18785410/276,402,74,15/full/0/native.jpg)
E.S.C. SPECIALTY CO.K
![](https://ids.lib.harvard.edu/ids/iiif/18785410/588,378,67,15/full/0/native.jpg)
LSHOC SHINE
![](https://ids.lib.harvard.edu/ids/iiif/18785410/465,442,28,9/full/0/native.jpg)
... COAL
![](https://ids.lib.harvard.edu/ids/iiif/18785410/276,406,18,10/full/0/native.jpg)
E.S.C.
![](https://ids.lib.harvard.edu/ids/iiif/18785410/462,425,11,7/full/0/native.jpg)
100
![](https://ids.lib.harvard.edu/ids/iiif/18785410/465,443,8,3/full/0/native.jpg)
...
![](https://ids.lib.harvard.edu/ids/iiif/18785410/497,423,11,7/full/0/native.jpg)
YEAR
![](https://ids.lib.harvard.edu/ids/iiif/18785410/495,441,13,6/full/0/native.jpg)
FLEME
![](https://ids.lib.harvard.edu/ids/iiif/18785410/279,359,420,98/full/0/native.jpg)
NE SELL.
DERRY .
SHOE REPAIRING
I SHOE SHINE
LEG SPECIALTY CO.
CLARKIESE
HOLMES &WHEELER
PARLOR
COAL
![](https://ids.lib.harvard.edu/ids/iiif/18785410/659,362,19,15/full/0/native.jpg)
NE
![](https://ids.lib.harvard.edu/ids/iiif/18785410/674,359,25,17/full/0/native.jpg)
SELL.
![](https://ids.lib.harvard.edu/ids/iiif/18785410/607,366,32,14/full/0/native.jpg)
DERRY
![](https://ids.lib.harvard.edu/ids/iiif/18785410/651,366,11,12/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/18785410/591,376,28,15/full/0/native.jpg)
SHOE
![](https://ids.lib.harvard.edu/ids/iiif/18785410/615,372,45,18/full/0/native.jpg)
REPAIRING
![](https://ids.lib.harvard.edu/ids/iiif/18785410/596,383,11,15/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/18785410/623,381,36,17/full/0/native.jpg)
SHINE
![](https://ids.lib.harvard.edu/ids/iiif/18785410/279,409,18,12/full/0/native.jpg)
LEG
![](https://ids.lib.harvard.edu/ids/iiif/18785410/299,406,35,14/full/0/native.jpg)
SPECIALTY
![](https://ids.lib.harvard.edu/ids/iiif/18785410/334,405,20,12/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/18785410/369,399,72,18/full/0/native.jpg)
CLARKIESE
![](https://ids.lib.harvard.edu/ids/iiif/18785410/460,393,36,16/full/0/native.jpg)
HOLMES
![](https://ids.lib.harvard.edu/ids/iiif/18785410/494,389,54,18/full/0/native.jpg)
&WHEELER
![](https://ids.lib.harvard.edu/ids/iiif/18785410/599,390,47,13/full/0/native.jpg)
PARLOR
![](https://ids.lib.harvard.edu/ids/iiif/18785410/465,441,32,16/full/0/native.jpg)
COAL