Machine Generated Data
Tags
Amazon
created on 2019-08-06
Clarifai
created on 2019-08-06
Imagga
created on 2019-08-06
cloak | 90.8 | |
| ||
covering | 74.1 | |
| ||
portrait | 37.5 | |
| ||
model | 30.3 | |
| ||
person | 29.8 | |
| ||
adult | 29.1 | |
| ||
fashion | 27.1 | |
| ||
man | 26.9 | |
| ||
face | 26.3 | |
| ||
attractive | 25.9 | |
| ||
male | 24.1 | |
| ||
black | 23.2 | |
| ||
people | 22.9 | |
| ||
brunette | 18.3 | |
| ||
lady | 17.9 | |
| ||
sexy | 17.7 | |
| ||
expression | 17.1 | |
| ||
pretty | 16.8 | |
| ||
lips | 16.7 | |
| ||
human | 16.5 | |
| ||
eyes | 16.4 | |
| ||
make | 16.3 | |
| ||
serious | 15.3 | |
| ||
hair | 15.1 | |
| ||
jacket | 14.5 | |
| ||
posing | 14.2 | |
| ||
one | 14.2 | |
| ||
clothing | 13.8 | |
| ||
elegant | 13.7 | |
| ||
cute | 13.6 | |
| ||
style | 13.4 | |
| ||
happy | 13.2 | |
| ||
close | 13.1 | |
| ||
smile | 12.8 | |
| ||
suit | 12.7 | |
| ||
handsome | 12.5 | |
| ||
look | 12.3 | |
| ||
business | 12.1 | |
| ||
art | 12 | |
| ||
youth | 11.9 | |
| ||
professional | 11.9 | |
| ||
sensual | 11.8 | |
| ||
head | 11.8 | |
| ||
necktie | 11.7 | |
| ||
vintage | 11.6 | |
| ||
lifestyle | 11.6 | |
| ||
hairstyle | 11.4 | |
| ||
studio | 11.4 | |
| ||
body | 11.2 | |
| ||
culture | 11.1 | |
| ||
gown | 11 | |
| ||
makeup | 11 | |
| ||
elegance | 10.9 | |
| ||
dark | 10.9 | |
| ||
guy | 10.5 | |
| ||
bow tie | 10.2 | |
| ||
confident | 10 | |
| ||
hand | 9.9 | |
| ||
vestment | 9.7 | |
| ||
god | 9.6 | |
| ||
casual | 9.3 | |
| ||
modern | 9.1 | |
| ||
blond | 9.1 | |
| ||
currency | 9 | |
| ||
businessman | 8.8 | |
| ||
luxury | 8.6 | |
| ||
mug shot | 8.5 | |
| ||
money | 8.5 | |
| ||
sculpture | 8.4 | |
| ||
outerwear | 8.4 | |
| ||
lovely | 8 | |
| ||
looking | 8 | |
| ||
women | 7.9 | |
| ||
skin | 7.8 | |
| ||
men | 7.7 | |
| ||
clothes | 7.5 | |
| ||
holding | 7.4 | |
| ||
church | 7.4 | |
| ||
emotion | 7.4 | |
| ||
alone | 7.3 | |
| ||
stylish | 7.2 | |
| ||
dress | 7.2 | |
| ||
religion | 7.2 | |
|
Google
created on 2019-08-06
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 15-25 |
Gender | Male, 97.3% |
Confused | 9.1% |
Sad | 5.2% |
Happy | 13.9% |
Surprised | 16.1% |
Angry | 7.3% |
Disgusted | 7.9% |
Calm | 40.4% |
Microsoft Cognitive Services
Age | 37 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Text analysis
Amazon
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