Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
industry | 98.7 | |
| ||
people | 98.5 | |
| ||
transportation system | 98.2 | |
| ||
vehicle | 97.7 | |
| ||
grinder | 97.6 | |
| ||
watercraft | 94.3 | |
| ||
no person | 94.3 | |
| ||
steel | 91.6 | |
| ||
one | 91.6 | |
| ||
engine | 90.3 | |
| ||
train | 90 | |
| ||
adult | 87.9 | |
| ||
machine | 87.5 | |
| ||
railway | 87.4 | |
| ||
aircraft | 86.8 | |
| ||
technology | 86.3 | |
| ||
group together | 85.2 | |
| ||
production | 84.8 | |
| ||
group | 82.3 | |
| ||
two | 82 | |
|
Imagga
created on 2019-06-05
industrial | 32.7 | |
| ||
construction | 31.6 | |
| ||
industry | 31.6 | |
| ||
steel | 30.7 | |
| ||
building | 30 | |
| ||
structure | 29.6 | |
| ||
architecture | 28.9 | |
| ||
equipment | 28.7 | |
| ||
power | 22.7 | |
| ||
factory | 19.4 | |
| ||
tower | 18.8 | |
| ||
sky | 18.5 | |
| ||
machine | 18.5 | |
| ||
turbine | 17.3 | |
| ||
metal | 16.9 | |
| ||
pipe | 15.1 | |
| ||
device | 14.7 | |
| ||
energy | 14.3 | |
| ||
engineering | 14.3 | |
| ||
iron | 14 | |
| ||
old | 13.9 | |
| ||
heavy | 13.4 | |
| ||
plant | 13.3 | |
| ||
skeleton | 13 | |
| ||
apparatus | 12.8 | |
| ||
business | 12.7 | |
| ||
transportation | 12.5 | |
| ||
pollution | 12.5 | |
| ||
bridge | 12.4 | |
| ||
nuclear reactor | 12.2 | |
| ||
technology | 11.9 | |
| ||
transport | 11.9 | |
| ||
radio | 11.8 | |
| ||
gas | 11.6 | |
| ||
build | 11.4 | |
| ||
water | 11.3 | |
| ||
radio telescope | 10.8 | |
| ||
manufacturing | 10.7 | |
| ||
frame | 10.7 | |
| ||
retro | 10.6 | |
| ||
fuel | 10.6 | |
| ||
urban | 10.5 | |
| ||
oil | 10.2 | |
| ||
work | 10.2 | |
| ||
design | 10.1 | |
| ||
house | 10 | |
| ||
part | 10 | |
| ||
refinery | 9.8 | |
| ||
river | 9.8 | |
| ||
production | 9.7 | |
| ||
valve | 9.3 | |
| ||
wood | 9.2 | |
| ||
travel | 9.2 | |
| ||
city | 9.1 | |
| ||
environment | 9 | |
| ||
facility | 8.6 | |
| ||
astronomical telescope | 8.6 | |
| ||
roof | 8.6 | |
| ||
machinery | 8.2 | |
| ||
wheel | 8.1 | |
| ||
pipeline | 7.9 | |
| ||
pipes | 7.9 | |
| ||
chimney | 7.8 | |
| ||
pump | 7.8 | |
| ||
nobody | 7.8 | |
| ||
crane | 7.7 | |
| ||
modern | 7.7 | |
| ||
mechanism | 7.6 | |
| ||
electricity | 7.6 | |
| ||
site | 7.5 | |
| ||
telescope | 7.4 | |
| ||
station | 7.4 | |
| ||
road | 7.2 | |
| ||
home | 7.2 | |
| ||
tank | 7.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.2% |
Calm | 49.7% |
Sad | 49.9% |
Surprised | 49.6% |
Angry | 49.6% |
Happy | 49.7% |
Confused | 49.5% |
Disgusted | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 76.6% | |
| ||
paintings art | 8.2% | |
| ||
nature landscape | 6.3% | |
| ||
food drinks | 2.4% | |
| ||
macro flowers | 1.4% | |
| ||
beaches seaside | 1.2% | |
| ||
text visuals | 1.1% | |
|
Captions
Microsoft
created on 2019-06-05
an old photo of a train | 45.4% | |
| ||
an old photo of a building | 45.3% | |
| ||
old photo of a building | 45.2% | |
|
Text analysis
Amazon

ROOM

YNAMO

DY YNAMO ROOM

DY

DYNAMO ROOM

DYNAMO

ROOM