Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
people | 100 | |
| ||
group | 99.7 | |
| ||
adult | 99.3 | |
| ||
many | 99.1 | |
| ||
group together | 98.3 | |
| ||
military | 98 | |
| ||
man | 97.1 | |
| ||
vehicle | 96.9 | |
| ||
administration | 96.7 | |
| ||
watercraft | 96.3 | |
| ||
war | 95.7 | |
| ||
transportation system | 94.5 | |
| ||
several | 93.8 | |
| ||
soldier | 90.2 | |
| ||
woman | 89 | |
| ||
88 | ||
| ||
leader | 86.6 | |
| ||
four | 84.6 | |
| ||
aircraft | 84.5 | |
| ||
skirmish | 82.8 | |
|
Imagga
created on 2019-06-06
old | 23.7 | |
| ||
vintage | 19.8 | |
| ||
man | 16.8 | |
| ||
person | 15.9 | |
| ||
wreckage | 15.1 | |
| ||
people | 15 | |
| ||
letter | 14.7 | |
| ||
art | 14.7 | |
| ||
stamp | 14.5 | |
| ||
aged | 14.5 | |
| ||
14.4 | ||
| ||
retro | 13.9 | |
| ||
postmark | 13.8 | |
| ||
postage | 13.8 | |
| ||
grunge | 13.6 | |
| ||
postal | 12.8 | |
| ||
beach | 12.6 | |
| ||
black | 12.6 | |
| ||
part | 12.2 | |
| ||
sky | 12.1 | |
| ||
ancient | 12.1 | |
| ||
newspaper | 12 | |
| ||
philately | 11.8 | |
| ||
circa | 11.8 | |
| ||
envelope | 11.7 | |
| ||
ocean | 11.6 | |
| ||
silhouette | 11.6 | |
| ||
web site | 11.4 | |
| ||
male | 11.3 | |
| ||
sunset | 10.8 | |
| ||
water | 10.7 | |
| ||
antique | 10.4 | |
| ||
sea | 10.3 | |
| ||
daily | 10.2 | |
| ||
product | 9.9 | |
| ||
coast | 9.9 | |
| ||
landscape | 9.7 | |
| ||
planner | 9.5 | |
| ||
men | 9.4 | |
| ||
message | 9.1 | |
| ||
paint | 9 | |
| ||
creation | 8.9 | |
| ||
sun | 8.8 | |
| ||
symbol | 8.7 | |
| ||
paper | 8.6 | |
| ||
card | 8.5 | |
| ||
outdoor | 8.4 | |
| ||
summer | 8.4 | |
| ||
comic book | 8.2 | |
| ||
pattern | 8.2 | |
| ||
business | 7.9 | |
| ||
design | 7.9 | |
| ||
printed | 7.9 | |
| ||
sand | 7.9 | |
| ||
address | 7.8 | |
| ||
travel | 7.7 | |
| ||
texture | 7.6 | |
| ||
frame | 7.5 | |
| ||
slick | 7.5 | |
| ||
dirty | 7.2 | |
| ||
color | 7.2 | |
| ||
holiday | 7.2 | |
| ||
world | 7.1 | |
|
Google
created on 2019-06-06
Photograph | 95.3 | |
| ||
Snapshot | 82 | |
| ||
Adaptation | 67 | |
| ||
Art | 58.1 | |
| ||
Visual arts | 55 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-52 |
Gender | Male, 51.8% |
Angry | 48.2% |
Calm | 46.6% |
Surprised | 45.3% |
Sad | 46.9% |
Disgusted | 47.4% |
Happy | 45.5% |
Confused | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.9% |
Confused | 45.2% |
Disgusted | 45.1% |
Surprised | 45.1% |
Sad | 46.7% |
Angry | 45.4% |
Happy | 45.1% |
Calm | 52.4% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.8% |
Happy | 45.2% |
Disgusted | 45.5% |
Angry | 45.6% |
Confused | 45.1% |
Calm | 45.4% |
Surprised | 45.1% |
Sad | 53.1% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 51.3% |
Happy | 45.5% |
Calm | 47.6% |
Sad | 47.1% |
Surprised | 45.3% |
Angry | 46.4% |
Confused | 45.2% |
Disgusted | 47.8% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 54.9% |
Calm | 46.5% |
Sad | 49.5% |
Happy | 45.4% |
Confused | 45.4% |
Angry | 45.9% |
Surprised | 45.2% |
Disgusted | 47.1% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 54.3% |
Angry | 48.3% |
Disgusted | 47.3% |
Surprised | 45.2% |
Calm | 47.8% |
Sad | 46% |
Happy | 45.1% |
Confused | 45.2% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 52.7% |
Sad | 46% |
Calm | 49.2% |
Surprised | 45.5% |
Confused | 45.7% |
Disgusted | 46.8% |
Happy | 46.2% |
Angry | 45.8% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 53.4% |
Calm | 46.3% |
Happy | 45.7% |
Confused | 45.6% |
Sad | 45.9% |
Angry | 46.1% |
Surprised | 45.8% |
Disgusted | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Angry | 49.5% |
Happy | 49.9% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Sad | 49.9% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.2% |
Calm | 45.4% |
Surprised | 45.4% |
Happy | 46.3% |
Angry | 51.2% |
Confused | 45.3% |
Sad | 45.9% |
Disgusted | 45.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 52.8% |
Calm | 50% |
Happy | 45.4% |
Sad | 45.2% |
Angry | 45.2% |
Disgusted | 48.9% |
Confused | 45.1% |
Surprised | 45.3% |

Microsoft Cognitive Services
Age | 47 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 29.9% | |
| ||
text visuals | 20.4% | |
| ||
paintings art | 18.2% | |
| ||
food drinks | 17% | |
| ||
people portraits | 5.2% | |
| ||
events parties | 4.9% | |
| ||
interior objects | 2% | |
|
Captions
Microsoft
created on 2019-06-06
a vintage photo of a group of people posing for the camera | 92.3% | |
| ||
a vintage photo of a group of people posing for a picture | 92.2% | |
| ||
a group of people posing for a photo | 92.1% | |
|
Text analysis
Amazon

Fornace

lampadari

della

vetri

Ditta

Ferro

di

artistici

Venezia

Interno

Interno della Fornace di vetri artistici e lampadari della

Murano

GLASS-BLOWERS.

Ditta Ferro TOso e C. Murano Venezia

e

C.

TOso

della

Ditta

Ferro

Toso

e

C.

Murano

(Venezia)

GLASS

Interno della Fornace di vetri artistici e lampadari della
Ditta Ferro Toso e C. Murano (Venezia)
GLASS BLOWERS.

Interno

Fornace

di

vetri

artistici

lampadari

BLOWERS.