Machine Generated Data
Tags
Amazon
created on 2022-05-10
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-10
ingot | 100 | |
| ||
block | 98.2 | |
| ||
coin | 76.4 | |
| ||
money | 74.1 | |
| ||
currency | 71 | |
| ||
coins | 63.8 | |
| ||
finance | 57.5 | |
| ||
cash | 56.8 | |
| ||
banking | 45.1 | |
| ||
bank | 43.1 | |
| ||
financial | 42.8 | |
| ||
brass | 42.2 | |
| ||
wealth | 33.3 | |
| ||
memorial | 33 | |
| ||
metal | 30.6 | |
| ||
pay | 28.8 | |
| ||
close | 28 | |
| ||
change | 27.9 | |
| ||
one | 27.7 | |
| ||
business | 27.4 | |
| ||
dollar | 26 | |
| ||
exchange | 25.8 | |
| ||
economy | 25.1 | |
| ||
silver | 23 | |
| ||
structure | 22.8 | |
| ||
savings | 22.4 | |
| ||
gold | 22.2 | |
| ||
finances | 20.3 | |
| ||
cent | 19.7 | |
| ||
investment | 19.3 | |
| ||
penny | 18.7 | |
| ||
payment | 18.3 | |
| ||
object | 17.6 | |
| ||
old | 16.7 | |
| ||
monetary | 16.7 | |
| ||
shiny | 16.6 | |
| ||
collection | 16.2 | |
| ||
buy | 16 | |
| ||
commerce | 15.9 | |
| ||
numismatics | 15.9 | |
| ||
value | 15.5 | |
| ||
earthenware | 15.5 | |
| ||
pound | 15.5 | |
| ||
dollars | 14.5 | |
| ||
retro | 13.9 | |
| ||
round | 13.8 | |
| ||
copper | 13.8 | |
| ||
collect | 12.8 | |
| ||
closeup | 12.1 | |
| ||
two | 11.9 | |
| ||
ceramic ware | 11.7 | |
| ||
crisis | 11.7 | |
| ||
us | 11.6 | |
| ||
historical | 11.3 | |
| ||
note | 11 | |
| ||
coinage | 10.9 | |
| ||
funds | 10.8 | |
| ||
bills | 10.7 | |
| ||
debt | 10.6 | |
| ||
rich | 10.2 | |
| ||
symbol | 10.1 | |
| ||
vintage | 9.9 | |
| ||
pennies | 9.9 | |
| ||
currencies | 9.9 | |
| ||
market | 9.8 | |
| ||
spend | 9.8 | |
| ||
reverse | 8.9 | |
| ||
success | 8.9 | |
| ||
states | 8.7 | |
| ||
treasure | 8.7 | |
| ||
union | 8.7 | |
| ||
credit | 8.7 | |
| ||
tender | 8.7 | |
| ||
england | 8.6 | |
| ||
concepts | 8 | |
| ||
investments | 7.9 | |
| ||
sterling | 7.9 | |
| ||
liberty | 7.9 | |
| ||
economics | 7.8 | |
| ||
management | 7.8 | |
| ||
invest | 7.7 | |
| ||
price | 7.7 | |
| ||
utensil | 7.6 | |
|
Google
created on 2022-05-10
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 40-48 |
Gender | Male, 91.1% |
Calm | 84.6% |
Surprised | 7% |
Fear | 6.2% |
Confused | 3.6% |
Angry | 3.2% |
Sad | 3% |
Disgusted | 2.3% |
Happy | 1.7% |
Feature analysis
Amazon
Person | 73.5% | |
|
Text analysis
Amazon
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JELP
S.T.P.
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REG.
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COLLEGA
MONS
DISCIPULI
KIY
ANOT
THA
1099
are THA
are
REG
CO
LECA
LOND
GOLL
AMICI
REG
CO
LECA
LOND
GOLL
AMICI