Machine Generated Data
Tags
Amazon
created on 2019-03-22
Human | 96 | |
| ||
Person | 94.8 | |
| ||
Construction | 60.2 | |
| ||
Wood | 58.6 | |
| ||
Carpenter | 57.5 | |
| ||
People | 56.6 | |
| ||
Building | 55.5 | |
| ||
Architecture | 55.5 | |
| ||
Tower | 55.5 | |
| ||
Clock Tower | 55.5 | |
|
Clarifai
created on 2019-03-22
people | 99.4 | |
| ||
adult | 97.6 | |
| ||
industry | 95.5 | |
| ||
vehicle | 94.5 | |
| ||
grinder | 94.1 | |
| ||
one | 93.9 | |
| ||
man | 93.1 | |
| ||
transportation system | 89.9 | |
| ||
production | 89.1 | |
| ||
watercraft | 88 | |
| ||
group | 85.9 | |
| ||
two | 85.8 | |
| ||
wear | 84.2 | |
| ||
military | 83.3 | |
| ||
woman | 81.8 | |
| ||
science | 81.7 | |
| ||
war | 81.7 | |
| ||
scientist | 81.5 | |
| ||
81.4 | ||
| ||
exploration | 81.2 | |
|
Imagga
created on 2019-03-22
industry | 34.2 | |
| ||
equipment | 29.4 | |
| ||
machine | 28.8 | |
| ||
industrial | 28.1 | |
| ||
construction | 26.5 | |
| ||
sky | 22.3 | |
| ||
crane | 19.2 | |
| ||
power | 18.5 | |
| ||
building | 18.3 | |
| ||
heavy | 18.1 | |
| ||
transportation | 17.9 | |
| ||
device | 17.2 | |
| ||
ship | 16.5 | |
| ||
work | 15.8 | |
| ||
steel | 15.8 | |
| ||
boat | 15.7 | |
| ||
transport | 15.5 | |
| ||
vehicle | 15.3 | |
| ||
vessel | 14.8 | |
| ||
structure | 14.5 | |
| ||
harbor | 14.4 | |
| ||
sea | 14.1 | |
| ||
business | 14 | |
| ||
port | 13.5 | |
| ||
water | 13.3 | |
| ||
architecture | 13.3 | |
| ||
environment | 13.2 | |
| ||
metal | 12.9 | |
| ||
machinery | 12.7 | |
| ||
energy | 12.6 | |
| ||
old | 11.8 | |
| ||
factory | 11.8 | |
| ||
fisherman | 11.7 | |
| ||
urban | 11.4 | |
| ||
outdoor | 10.7 | |
| ||
gas | 10.6 | |
| ||
seller | 10.6 | |
| ||
engineering | 10.5 | |
| ||
technology | 10.4 | |
| ||
site | 10.3 | |
| ||
gear | 10.1 | |
| ||
city | 10 | |
| ||
ocean | 10 | |
| ||
container | 9.9 | |
| ||
dock | 9.7 | |
| ||
rigging | 9.7 | |
| ||
outdoors | 9.7 | |
| ||
fuel | 9.6 | |
| ||
truck | 9.6 | |
| ||
silhouette | 9.1 | |
| ||
pipe | 8.8 | |
| ||
cargo | 8.7 | |
| ||
pollution | 8.7 | |
| ||
tower | 8.1 | |
| ||
shipping | 7.9 | |
| ||
chair | 7.9 | |
| ||
destruction | 7.8 | |
| ||
black | 7.8 | |
| ||
cloud | 7.8 | |
| ||
travel | 7.7 | |
| ||
outside | 7.7 | |
| ||
house | 7.5 | |
| ||
landscape | 7.4 | |
| ||
oil | 7.4 | |
| ||
tourism | 7.4 | |
| ||
global | 7.3 | |
| ||
dirty | 7.2 | |
| ||
sunset | 7.2 | |
| ||
pump | 7 | |
|
Google
created on 2019-03-22
Photograph | 96.1 | |
| ||
Snapshot | 85.1 | |
| ||
Stock photography | 74.6 | |
| ||
Photography | 67.8 | |
| ||
Black-and-white | 56.4 | |
|
Microsoft
created on 2019-03-22
outdoor | 92 | |
| ||
black | 77.3 | |
| ||
white | 64.6 | |
| ||
old | 62.4 | |
| ||
black and white | 62.4 | |
| ||
construction | 30.9 | |
| ||
monochrome | 12.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Sad | 50% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Happy | 49.8% |
Confused | 49.5% |
Surprised | 49.5% |
Feature analysis
Amazon
Person
Clock Tower

Person | 94.8% | |
|

Clock Tower | 55.5% | |
|
Categories
Imagga
cars vehicles | 84.1% | |
| ||
paintings art | 7.5% | |
| ||
streetview architecture | 5.2% | |
| ||
nature landscape | 1.2% | |
|
Captions
Microsoft
created on 2019-03-22
a black and white photo of a boat | 50.8% | |
| ||
a black and white photo of a person | 50.7% | |
| ||
a black and white photo of a person | 50.6% | |
|