Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
suspension bridge | 78.1 | |
| ||
bridge | 77.5 | |
| ||
structure | 66.8 | |
| ||
sky | 30 | |
| ||
landscape | 22.3 | |
| ||
barrier | 21.1 | |
| ||
shopping cart | 20.5 | |
| ||
architecture | 20.3 | |
| ||
dam | 20.1 | |
| ||
water | 20 | |
| ||
travel | 19 | |
| ||
river | 17.8 | |
| ||
city | 17.5 | |
| ||
construction | 17.1 | |
| ||
tower | 17 | |
| ||
handcart | 16.5 | |
| ||
industry | 15.4 | |
| ||
radio telescope | 14.4 | |
| ||
obstruction | 14.3 | |
| ||
landmark | 13.5 | |
| ||
support | 13.4 | |
| ||
cloud | 12.9 | |
| ||
winter | 12.8 | |
| ||
industrial | 12.7 | |
| ||
sunset | 12.6 | |
| ||
wheeled vehicle | 12.6 | |
| ||
building | 12.4 | |
| ||
steel | 12.4 | |
| ||
tourism | 12.4 | |
| ||
astronomical telescope | 11.5 | |
| ||
container | 11.5 | |
| ||
cold | 11.2 | |
| ||
old | 11.2 | |
| ||
sea | 10.9 | |
| ||
season | 10.9 | |
| ||
iron | 10.3 | |
| ||
snow | 10.2 | |
| ||
light | 10 | |
| ||
pier | 9.6 | |
| ||
black | 9.6 | |
| ||
film | 9.4 | |
| ||
power | 9.2 | |
| ||
outdoor | 9.2 | |
| ||
negative | 9 | |
| ||
scenery | 9 | |
| ||
outdoors | 9 | |
| ||
metal | 8.9 | |
| ||
urban | 8.7 | |
| ||
scene | 8.7 | |
| ||
telescope | 8.6 | |
| ||
bay | 8.5 | |
| ||
clouds | 8.5 | |
| ||
device | 8.4 | |
| ||
famous | 8.4 | |
| ||
summer | 8.4 | |
| ||
frame | 8.3 | |
| ||
ocean | 8.3 | |
| ||
silhouette | 8.3 | |
| ||
vintage | 8.3 | |
| ||
crane | 8.1 | |
| ||
night | 8 | |
| ||
cable | 7.9 | |
| ||
fence | 7.9 | |
| ||
scenic | 7.9 | |
| ||
high | 7.8 | |
| ||
park | 7.8 | |
| ||
tree | 7.7 | |
| ||
grunge | 7.7 | |
| ||
texture | 7.6 | |
| ||
dusk | 7.6 | |
| ||
energy | 7.6 | |
| ||
town | 7.4 | |
| ||
environment | 7.4 | |
| ||
ice | 7.4 | |
| ||
ship | 7.4 | |
| ||
transport | 7.3 | |
| ||
road | 7.2 | |
| ||
transportation | 7.2 | |
| ||
shadow | 7.2 | |
| ||
history | 7.2 | |
| ||
trees | 7.1 | |
| ||
day | 7.1 | |
| ||
seasonal | 7 | |
|
Google
created on 2022-06-04
Plant | 92.4 | |
| ||
Black-and-white | 84.6 | |
| ||
Style | 83.8 | |
| ||
Electricity | 82.9 | |
| ||
Tree | 82.6 | |
| ||
Building | 81.7 | |
| ||
Bridge | 78.2 | |
| ||
Road surface | 77 | |
| ||
Tints and shades | 76.8 | |
| ||
City | 74.9 | |
| ||
Midnight | 74.9 | |
| ||
Monochrome | 74.8 | |
| ||
Monochrome photography | 73.6 | |
| ||
Street light | 72.4 | |
| ||
Asphalt | 71.6 | |
| ||
Road | 71.1 | |
| ||
Darkness | 70.1 | |
| ||
Street | 69.1 | |
| ||
Overhead power line | 67.6 | |
| ||
Light fixture | 65.2 | |
|
Microsoft
created on 2022-06-04
black and white | 97.1 | |
| ||
outdoor | 88.7 | |
| ||
black | 86.9 | |
| ||
white | 78.7 | |
| ||
rain | 77.2 | |
| ||
nature | 75.5 | |
| ||
night | 68.8 | |
| ||
monochrome | 59.7 | |
| ||
railroad | 26.3 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489288/351,565,23,46/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489288/219,566,16,57/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20489288/244,561,15,57/full/0/native.jpg)
Person | 84% | |
|
Categories
Imagga
nature landscape | 63.8% | |
| ||
paintings art | 15.8% | |
| ||
streetview architecture | 8% | |
| ||
cars vehicles | 4.9% | |
| ||
sunrises sunsets | 1.5% | |
| ||
beaches seaside | 1.4% | |
| ||
interior objects | 1.1% | |
| ||
events parties | 1.1% | |
|
Captions
Microsoft
created on 2022-06-04
a train on a rainy day | 28.5% | |
| ||
a close up of a bridge in the rain | 28.4% | |
| ||
a bridge in the rain | 28.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489288/839,491,67,25/full/0/native.jpg)
BURKE'S
![](https://ids.lib.harvard.edu/ids/iiif/20489288/868,532,36,17/full/0/native.jpg)
STOUT
![](https://ids.lib.harvard.edu/ids/iiif/20489288/57,780,65,18/full/0/native.jpg)
Progress
![](https://ids.lib.harvard.edu/ids/iiif/20489288/750,529,6,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20489288/736,526,20,6/full/0/native.jpg)
DE -
![](https://ids.lib.harvard.edu/ids/iiif/20489288/163,774,39,22/full/0/native.jpg)
steel
![](https://ids.lib.harvard.edu/ids/iiif/20489288/57,773,217,24/full/0/native.jpg)
Progress 90 steel erection
![](https://ids.lib.harvard.edu/ids/iiif/20489288/618,774,79,22/full/0/native.jpg)
Nov.7.06
![](https://ids.lib.harvard.edu/ids/iiif/20489288/205,773,70,23/full/0/native.jpg)
erection
![](https://ids.lib.harvard.edu/ids/iiif/20489288/736,526,11,6/full/0/native.jpg)
DE
![](https://ids.lib.harvard.edu/ids/iiif/20489288/918,754,51,25/full/0/native.jpg)
6115
![](https://ids.lib.harvard.edu/ids/iiif/20489288/134,784,24,12/full/0/native.jpg)
90
![](https://ids.lib.harvard.edu/ids/iiif/20489288/737,536,19,5/full/0/native.jpg)
- -
![](https://ids.lib.harvard.edu/ids/iiif/20489288/992,559,16,8/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/20489288/929,539,13,7/full/0/native.jpg)
lair
![](https://ids.lib.harvard.edu/ids/iiif/20489288/957,573,9,7/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/20489288/750,548,7,3/full/0/native.jpg)
L
![](https://ids.lib.harvard.edu/ids/iiif/20489288/871,519,22,9/full/0/native.jpg)
Sofited
![](https://ids.lib.harvard.edu/ids/iiif/20489288/849,519,43,9/full/0/native.jpg)
ROSS Sofited
![](https://ids.lib.harvard.edu/ids/iiif/20489288/988,539,25,12/full/0/native.jpg)
in
![](https://ids.lib.harvard.edu/ids/iiif/20489288/849,519,20,9/full/0/native.jpg)
ROSS
![](https://ids.lib.harvard.edu/ids/iiif/20489288/923,774,45,19/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/20489288/940,464,24,10/full/0/native.jpg)
Донкецу
![](https://ids.lib.harvard.edu/ids/iiif/20489288/940,462,54,12/full/0/native.jpg)
Донкецу 100.0kmin
![](https://ids.lib.harvard.edu/ids/iiif/20489288/964,462,29,9/full/0/native.jpg)
100.0kmin
![](https://ids.lib.harvard.edu/ids/iiif/20489288/924,0,58,10/full/0/native.jpg)
0101
![](https://ids.lib.harvard.edu/ids/iiif/20489288/58,489,953,313/full/0/native.jpg)
Progress go slee erection
Nov 7.06
BURKE'S MAGNATOILET
per kortled
STOUT
6115
sad
ka
![](https://ids.lib.harvard.edu/ids/iiif/20489288/58,779,69,23/full/0/native.jpg)
Progress
![](https://ids.lib.harvard.edu/ids/iiif/20489288/133,779,26,22/full/0/native.jpg)
go
![](https://ids.lib.harvard.edu/ids/iiif/20489288/163,779,37,21/full/0/native.jpg)
slee
![](https://ids.lib.harvard.edu/ids/iiif/20489288/205,777,71,23/full/0/native.jpg)
erection
![](https://ids.lib.harvard.edu/ids/iiif/20489288/623,779,32,17/full/0/native.jpg)
Nov
![](https://ids.lib.harvard.edu/ids/iiif/20489288/659,779,38,16/full/0/native.jpg)
7.06
![](https://ids.lib.harvard.edu/ids/iiif/20489288/842,494,67,25/full/0/native.jpg)
BURKE'S
![](https://ids.lib.harvard.edu/ids/iiif/20489288/917,490,70,25/full/0/native.jpg)
MAGNATOILET
![](https://ids.lib.harvard.edu/ids/iiif/20489288/849,519,20,14/full/0/native.jpg)
per
![](https://ids.lib.harvard.edu/ids/iiif/20489288/869,519,28,13/full/0/native.jpg)
kortled
![](https://ids.lib.harvard.edu/ids/iiif/20489288/870,535,39,17/full/0/native.jpg)
STOUT
![](https://ids.lib.harvard.edu/ids/iiif/20489288/919,756,51,25/full/0/native.jpg)
6115
![](https://ids.lib.harvard.edu/ids/iiif/20489288/987,552,18,11/full/0/native.jpg)
sad
![](https://ids.lib.harvard.edu/ids/iiif/20489288/997,560,14,11/full/0/native.jpg)
ka