Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
room | 49.6 | |
| ||
interior | 46.8 | |
| ||
barbershop | 34.1 | |
| ||
table | 33.6 | |
| ||
house | 32.6 | |
| ||
shop | 32.2 | |
| ||
chair | 29.7 | |
| ||
furniture | 26.3 | |
| ||
home | 24.7 | |
| ||
decor | 23.8 | |
| ||
mercantile establishment | 23.3 | |
| ||
window | 22 | |
| ||
architecture | 21.8 | |
| ||
modern | 19.6 | |
| ||
floor | 19.5 | |
| ||
wood | 19.2 | |
| ||
indoor | 19.2 | |
| ||
design | 18 | |
| ||
inside | 17.5 | |
| ||
classroom | 17.1 | |
| ||
factory | 16 | |
| ||
place of business | 15.6 | |
| ||
apartment | 15.3 | |
| ||
indoors | 14.9 | |
| ||
building | 14.7 | |
| ||
plant | 14.5 | |
| ||
lamp | 14.3 | |
| ||
city | 14.1 | |
| ||
wooden | 14 | |
| ||
glass | 14 | |
| ||
old | 13.9 | |
| ||
luxury | 13.7 | |
| ||
restaurant | 13.2 | |
| ||
structure | 12.9 | |
| ||
light | 12.7 | |
| ||
style | 12.6 | |
| ||
wall | 12.3 | |
| ||
hall | 12.1 | |
| ||
street | 11.9 | |
| ||
decoration | 11.6 | |
| ||
residential | 11.5 | |
| ||
comfortable | 11.4 | |
| ||
living | 11.4 | |
| ||
empty | 11.2 | |
| ||
elegance | 10.9 | |
| ||
metal | 10.4 | |
| ||
elegant | 10.3 | |
| ||
nobody | 10.1 | |
| ||
people | 10 | |
| ||
travel | 9.8 | |
| ||
kitchen | 9.8 | |
| ||
chairs | 9.8 | |
| ||
hotel | 9.5 | |
| ||
dining | 9.5 | |
| ||
estate | 9.5 | |
| ||
seat | 9.5 | |
| ||
day | 9.4 | |
| ||
workshop | 9.3 | |
| ||
dinner | 9.3 | |
| ||
steel | 8.8 | |
| ||
vase | 8.7 | |
| ||
office | 8.7 | |
| ||
stone | 8.6 | |
| ||
sofa | 8.6 | |
| ||
3d | 8.5 | |
| ||
business | 8.5 | |
| ||
life | 8.4 | |
| ||
place | 8.4 | |
| ||
town | 8.3 | |
| ||
tile | 7.9 | |
| ||
establishment | 7.9 | |
| ||
cabinet | 7.9 | |
| ||
scene | 7.8 | |
| ||
residence | 7.8 | |
| ||
lighting | 7.7 | |
| ||
culture | 7.7 | |
| ||
traditional | 7.5 | |
| ||
tourism | 7.4 | |
| ||
machine | 7.1 | |
|
Google
created on 2019-06-05
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.9% |
Calm | 50.1% |
Angry | 46.7% |
Sad | 47.5% |
Confused | 45.2% |
Surprised | 45.1% |
Happy | 45.2% |
Disgusted | 45.2% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Surprised | 49.5% |
Sad | 50.4% |
Angry | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.1% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 50.3% |
Confused | 49.5% |
Calm | 49.5% |
Disgusted | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 51.4% |
Happy | 47.3% |
Sad | 51.1% |
Disgusted | 45.6% |
Angry | 45.3% |
Surprised | 45.2% |
Calm | 45.4% |
Confused | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Confused | 49.5% |
Sad | 49.9% |
Disgusted | 49.5% |
Angry | 50% |
Happy | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.5% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Calm | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Sad | 50.5% |
Confused | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.5% |
Disgusted | 49.8% |
Sad | 49.6% |
Calm | 49.6% |
Confused | 49.6% |
Happy | 49.8% |
Surprised | 49.6% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
interior objects | 98.7% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of a living room filled with furniture and a fireplace | 80.1% | |
| ||
a vintage photo of a living room filled with furniture | 80% | |
| ||
a vintage photo of a living room | 79.9% | |
|
Text analysis
Amazon

woodworking

boys

are

The

The older boys are taught the use of woodworking

older

the

of

use

taught

machinery.

machinery. ma

ma

The older boys are taught the use of woodwo rking
machinery.

The

are

taught

of

woodwo

older

boys

the

use

rking

machinery.