Machine Generated Data
Tags
Clarifai
created on 2023-10-16
Imagga
created on 2022-05-06
ingot | 100 | |
| ||
block | 97.6 | |
| ||
coin | 58.2 | |
| ||
money | 57 | |
| ||
currency | 55.7 | |
| ||
finance | 44.8 | |
| ||
cash | 41.2 | |
| ||
coins | 39.6 | |
| ||
bank | 35 | |
| ||
banking | 34 | |
| ||
metal | 30.6 | |
| ||
financial | 30.3 | |
| ||
wealth | 27.9 | |
| ||
business | 22.5 | |
| ||
gold | 22.2 | |
| ||
savings | 21.5 | |
| ||
dollar | 21.4 | |
| ||
economy | 21.3 | |
| ||
close | 21.1 | |
| ||
pay | 21.1 | |
| ||
one | 20.9 | |
| ||
silver | 20.4 | |
| ||
exchange | 20.1 | |
| ||
object | 18.3 | |
| ||
change | 18.3 | |
| ||
shiny | 16.6 | |
| ||
old | 16 | |
| ||
cent | 15.7 | |
| ||
collection | 15.3 | |
| ||
investment | 14.7 | |
| ||
black | 13.8 | |
| ||
round | 13.8 | |
| ||
pound | 13.5 | |
| ||
us | 13.5 | |
| ||
vintage | 13.2 | |
| ||
rich | 13 | |
| ||
monetary | 12.7 | |
| ||
finances | 12.5 | |
| ||
historical | 12.2 | |
| ||
numismatics | 11.9 | |
| ||
copper | 11.8 | |
| ||
payment | 11.6 | |
| ||
retro | 11.5 | |
| ||
closeup | 11.5 | |
| ||
antique | 11.3 | |
| ||
commerce | 11.2 | |
| ||
penny | 10.8 | |
| ||
market | 10.7 | |
| ||
dollars | 10.6 | |
| ||
stock | 10.3 | |
| ||
symbol | 10.1 | |
| ||
collect | 9.8 | |
| ||
states | 9.7 | |
| ||
buy | 9.4 | |
| ||
liberty | 8.8 | |
| ||
invest | 8.7 | |
| ||
treasure | 8.7 | |
| ||
golden | 8.6 | |
| ||
two | 7.6 | |
| ||
united | 7.6 | |
| ||
shine | 7.4 | |
| ||
device | 7.3 | |
| ||
success | 7.2 | |
|
Google
created on 2022-05-06
Chin | 96.7 | |
| ||
Black | 89.5 | |
| ||
Coin | 87.7 | |
| ||
Currency | 87.3 | |
| ||
Artifact | 85.4 | |
| ||
Money | 85.2 | |
| ||
Nickel | 83.3 | |
| ||
Art | 78.4 | |
| ||
Silver | 78.2 | |
| ||
Font | 77.5 | |
| ||
Circle | 75.3 | |
| ||
Metal | 70.5 | |
| ||
Fashion accessory | 67.7 | |
| ||
Carving | 66.8 | |
| ||
Monochrome photography | 66.6 | |
| ||
History | 66.5 | |
| ||
Ancient history | 65.7 | |
| ||
Macro photography | 65.3 | |
| ||
Monochrome | 64.4 | |
| ||
Darkness | 64.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 25-35 |
Gender | Female, 72.3% |
Calm | 96.8% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.3% |
Happy | 2.1% |
Disgusted | 0.2% |
Confused | 0.1% |
Angry | 0.1% |
Microsoft Cognitive Services
Age | 30 |
Gender | Male |
Text analysis
Amazon
cm
RAPIZ
ARE
cm
ARE
cm