Machine Generated Data
Tags
Amazon
created on 2019-04-04
Clarifai
created on 2018-03-23
Imagga
created on 2018-03-23
coin | 65.9 | |
| ||
currency | 65.6 | |
| ||
money | 65.6 | |
| ||
finance | 49.9 | |
| ||
coins | 49.3 | |
| ||
cash | 45.8 | |
| ||
banking | 44.2 | |
| ||
bank | 41.3 | |
| ||
financial | 34.8 | |
| ||
metal | 34.7 | |
| ||
pay | 32.7 | |
| ||
bronze | 28.7 | |
| ||
close | 27.4 | |
| ||
one | 26.9 | |
| ||
wealth | 26.1 | |
| ||
business | 25.6 | |
| ||
object | 24.2 | |
| ||
economy | 22.3 | |
| ||
change | 22.2 | |
| ||
old | 21.6 | |
| ||
silver | 21.3 | |
| ||
exchange | 21.1 | |
| ||
gold | 19.8 | |
| ||
cent | 19.7 | |
| ||
brass | 19.4 | |
| ||
finances | 18.3 | |
| ||
payment | 18.3 | |
| ||
shiny | 17.4 | |
| ||
round | 17.3 | |
| ||
numismatics | 16.8 | |
| ||
dollar | 16.7 | |
| ||
collection | 16.3 | |
| ||
savings | 15.9 | |
| ||
investment | 15.6 | |
| ||
retro | 15.6 | |
| ||
historical | 15.1 | |
| ||
ingot | 15 | |
| ||
vintage | 14.9 | |
| ||
copper | 14.7 | |
| ||
memorial | 14.7 | |
| ||
circle | 14.6 | |
| ||
pound | 14.5 | |
| ||
collect | 13.8 | |
| ||
monetary | 13.7 | |
| ||
commerce | 13.1 | |
| ||
value | 12.6 | |
| ||
market | 12.5 | |
| ||
buy | 12.2 | |
| ||
closeup | 12.2 | |
| ||
rich | 12.1 | |
| ||
two | 11.9 | |
| ||
penny | 11.8 | |
| ||
block | 11.6 | |
| ||
antique | 11.1 | |
| ||
symbol | 10.8 | |
| ||
structure | 9.8 | |
| ||
amulet | 9.8 | |
| ||
golden | 9.5 | |
| ||
shield | 9 | |
| ||
reverse | 8.9 | |
| ||
coinage | 8.9 | |
| ||
economic | 8.7 | |
| ||
us | 8.7 | |
| ||
union | 8.7 | |
| ||
ancient | 8.7 | |
| ||
percussion instrument | 8.6 | |
| ||
england | 8.6 | |
| ||
success | 8.1 | |
| ||
icon | 7.9 | |
| ||
ruble | 7.9 | |
| ||
currencies | 7.9 | |
| ||
economics | 7.8 | |
| ||
dollars | 7.7 | |
| ||
charm | 7.7 | |
| ||
debt | 7.7 | |
| ||
credit | 7.7 | |
| ||
shine | 7.4 | |
|
Google
created on 2018-03-23
medal | 86.6 | |
| ||
copper | 73.3 | |
| ||
bronze medal | 65.6 | |
| ||
bronze | 54.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 45-63 |
Gender | Female, 94.7% |
Happy | 2.4% |
Angry | 6.4% |
Calm | 63% |
Disgusted | 1.9% |
Confused | 3.4% |
Sad | 18.5% |
Surprised | 4.3% |
Feature analysis
Text analysis
Amazon
TIRANNIS
SIPTRUMOU QUE TIRANNIS
QUE
SIPTRUMOU
HULMEn
FRIPOIGTO
TIRA
TIRA