Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
web site | 36.6 | |
| ||
negative | 21.8 | |
| ||
sky | 21 | |
| ||
newspaper | 20.5 | |
| ||
film | 20.4 | |
| ||
city | 19.1 | |
| ||
product | 17.2 | |
| ||
skyline | 17.1 | |
| ||
business | 16.4 | |
| ||
daily | 15.8 | |
| ||
urban | 15.7 | |
| ||
landscape | 15.6 | |
| ||
architecture | 15.6 | |
| ||
building | 15.1 | |
| ||
scene | 14.7 | |
| ||
grunge | 14.5 | |
| ||
sea | 14.1 | |
| ||
silhouette | 14.1 | |
| ||
design | 14.1 | |
| ||
water | 14 | |
| ||
old | 13.9 | |
| ||
travel | 13.4 | |
| ||
art | 13.3 | |
| ||
equipment | 13.3 | |
| ||
cityscape | 13.2 | |
| ||
structure | 13.1 | |
| ||
black | 12.6 | |
| ||
graphic | 12.4 | |
| ||
panorama | 12.4 | |
| ||
creation | 12.3 | |
| ||
construction | 12 | |
| ||
vintage | 11.6 | |
| ||
tourism | 11.6 | |
| ||
downtown | 11.5 | |
| ||
retro | 11.5 | |
| ||
buildings | 11.3 | |
| ||
skyscraper | 10.7 | |
| ||
photographic paper | 10.5 | |
| ||
ocean | 10.1 | |
| ||
sequencer | 9.8 | |
| ||
texture | 9.7 | |
| ||
panoramic | 9.6 | |
| ||
ancient | 9.5 | |
| ||
symbol | 9.4 | |
| ||
horizon | 9 | |
| ||
space | 8.5 | |
| ||
beach | 8.4 | |
| ||
paint | 8.1 | |
| ||
dirty | 8.1 | |
| ||
landmark | 8.1 | |
| ||
backgrounds | 8.1 | |
| ||
tower | 8.1 | |
| ||
apparatus | 8 | |
| ||
text | 7.9 | |
| ||
antique | 7.8 | |
| ||
cold | 7.8 | |
| ||
edge | 7.7 | |
| ||
grungy | 7.6 | |
| ||
reflection | 7.6 | |
| ||
pattern | 7.5 | |
| ||
frame | 7.5 | |
| ||
people | 7.3 | |
| ||
ice | 7.2 | |
| ||
office | 7.2 | |
| ||
scenery | 7.2 | |
| ||
coast | 7.2 | |
| ||
material | 7.1 | |
| ||
screen | 7.1 | |
| ||
photographic equipment | 7 | |
| ||
modern | 7 | |
|
Google
created on 2019-06-07
Photograph | 95.3 | |
| ||
Text | 94.7 | |
| ||
Snapshot | 82.9 | |
| ||
History | 66.1 | |
| ||
Room | 65.7 | |
| ||
Collection | 59.7 | |
| ||
Paper | 57 | |
| ||
Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 6-13 |
Gender | Female, 50.4% |
Angry | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 50.4% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.2% |
Confused | 49.5% |
Angry | 49.8% |
Surprised | 49.5% |
Calm | 49.5% |
Sad | 50% |
Happy | 49.5% |
Disgusted | 49.6% |

AWS Rekognition
Age | 6-13 |
Gender | Male, 50.1% |
Disgusted | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Sad | 50.3% |
Happy | 49.5% |
Calm | 49.6% |
Angry | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Angry | 49.5% |
Calm | 49.5% |
Sad | 50.4% |
Confused | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.4% |
Calm | 50.2% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 49.7% |
Angry | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.3% |
Sad | 50.2% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.7% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Sad | 50.4% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.3% |
Sad | 50.2% |
Disgusted | 49.5% |
Happy | 49.5% |
Calm | 49.7% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Male, 50.2% |
Confused | 49.6% |
Angry | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |
Sad | 50.1% |
Happy | 49.6% |
Disgusted | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.2% |
Surprised | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |
Angry | 49.7% |
Calm | 49.6% |
Happy | 49.5% |
Sad | 49.9% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Happy | 49.5% |
Surprised | 49.5% |
Confused | 49.6% |
Angry | 49.7% |
Sad | 50% |
Disgusted | 49.6% |
Calm | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.1% |
Calm | 49.8% |
Happy | 49.7% |
Disgusted | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |
Sad | 49.7% |
Confused | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50% |
Angry | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |
Sad | 49.9% |
Happy | 49.7% |
Feature analysis
Categories
Imagga
text visuals | 73.3% | |
| ||
paintings art | 26.5% | |
|
Captions
Microsoft
created on 2019-06-07
a display in a room | 68.7% | |
| ||
a room with art on the wall | 58.9% | |
| ||
a person standing in a room | 36.8% | |
|
Text analysis
Amazon

Charitable

Publie

Publie Charitable Institutions, Louvain, Beigium

Institutions,

Louvain,

Beigium

OPHAN

MEN

ro

ADYLUM

TIRST

COSTUMIES

ADYLUM ro OPHAN aonY NND MEN

OPMANS

NND

ila

aonY

C04.1020/

Public Charitable Institutions, Louvain, Belgium
PIRST COMMUAPN Ft opPHANS
TYPT
COOTUMES
ASYLUM PoR ORPHAM boYs AMD AGEP MEN.

Public

Institutions,

Belgium

COMMUAPN

opPHANS

COOTUMES

PoR

boYs

AMD

MEN.

Charitable

Louvain,

PIRST

Ft

TYPT

ASYLUM

ORPHAM

AGEP