Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
man | 23.6 | |
| ||
sexy | 21.7 | |
| ||
bartender | 21.5 | |
| ||
people | 20.1 | |
| ||
adult | 18.8 | |
| ||
sculpture | 17.6 | |
| ||
person | 16.9 | |
| ||
model | 16.3 | |
| ||
body | 16 | |
| ||
statue | 15.2 | |
| ||
fashion | 15.1 | |
| ||
lifestyle | 14.5 | |
| ||
newspaper | 14.3 | |
| ||
world | 13.8 | |
| ||
portrait | 13.6 | |
| ||
male | 13.6 | |
| ||
love | 13.4 | |
| ||
couple | 13.1 | |
| ||
human | 12.7 | |
| ||
art | 12.6 | |
| ||
attractive | 12.6 | |
| ||
relaxation | 12.6 | |
| ||
sensuality | 11.8 | |
| ||
posing | 11.5 | |
| ||
hair | 11.1 | |
| ||
product | 11.1 | |
| ||
dress | 10.8 | |
| ||
face | 10.7 | |
| ||
seller | 10.5 | |
| ||
sitting | 10.3 | |
| ||
girls | 10 | |
| ||
black | 9.6 | |
| ||
room | 9.5 | |
| ||
old | 9.1 | |
| ||
religion | 9 | |
| ||
romance | 8.9 | |
| ||
lady | 8.9 | |
| ||
romantic | 8.9 | |
| ||
creation | 8.9 | |
| ||
interior | 8.8 | |
| ||
naked | 8.7 | |
| ||
bride | 8.6 | |
| ||
muscular | 8.6 | |
| ||
bath | 8.5 | |
| ||
females | 8.5 | |
| ||
two | 8.5 | |
| ||
skin | 8.5 | |
| ||
pretty | 8.4 | |
| ||
health | 8.3 | |
| ||
slim | 8.3 | |
| ||
vintage | 8.3 | |
| ||
one | 8.2 | |
| ||
happy | 8.1 | |
| ||
women | 7.9 | |
| ||
happiness | 7.8 | |
| ||
architecture | 7.8 | |
| ||
ancient | 7.8 | |
| ||
shower | 7.8 | |
| ||
boyfriend | 7.7 | |
| ||
girlfriend | 7.7 | |
| ||
stone | 7.6 | |
| ||
guy | 7.5 | |
| ||
leisure | 7.5 | |
| ||
wedding | 7.4 | |
| ||
water | 7.3 | |
| ||
building | 7.3 | |
| ||
smiling | 7.2 | |
| ||
looking | 7.2 | |
| ||
history | 7.2 | |
|
Google
created on 2019-05-29
Photograph | 96.3 | |
| ||
Monochrome | 88.6 | |
| ||
Black-and-white | 88.5 | |
| ||
Snapshot | 88.2 | |
| ||
Monochrome photography | 78.5 | |
| ||
Photography | 75.7 | |
| ||
Human | 74.7 | |
| ||
Stock photography | 59.4 | |
| ||
Barechested | 54.5 | |
| ||
Style | 54.3 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Female, 55.1% |
Angry | 3.5% |
Calm | 3% |
Disgusted | 3.4% |
Sad | 86.7% |
Surprised | 0.7% |
Confused | 2.1% |
Happy | 0.5% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 93.6% |
Sad | 99.7% |
Happy | 0% |
Angry | 0.1% |
Surprised | 0% |
Calm | 0% |
Disgusted | 0.1% |
Confused | 0% |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 23 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 36% | |
| ||
interior objects | 30.3% | |
| ||
food drinks | 22.9% | |
| ||
people portraits | 6.7% | |
| ||
paintings art | 1.7% | |
| ||
streetview architecture | 1% | |
|
Captions
Microsoft
created on 2019-05-29
a person sitting in front of a store | 83.1% | |
| ||
a man and a woman sitting in front of a store | 62.3% | |
| ||
a person sitting in front of a store | 62.2% | |
|
Text analysis
Amazon

321389

3MAG

RYJIIT

QA 321389 3MAG

HI29

oet

QA