Machine Generated Data
Tags
Amazon
created on 2019-06-07
Person | 99.4 | |
| ||
Human | 99.4 | |
| ||
Person | 99.1 | |
| ||
Building | 97.3 | |
| ||
Indoors | 94.5 | |
| ||
Person | 94 | |
| ||
Person | 93.3 | |
| ||
Person | 91.7 | |
| ||
Person | 90.2 | |
| ||
Factory | 85.3 | |
| ||
Crowd | 83.8 | |
| ||
Room | 83.1 | |
| ||
Person | 82.8 | |
| ||
Housing | 82.4 | |
| ||
Person | 82 | |
| ||
Audience | 79.5 | |
| ||
Person | 77.8 | |
| ||
Person | 73.1 | |
| ||
Cafeteria | 64.9 | |
| ||
Restaurant | 64.9 | |
| ||
Flooring | 64.7 | |
| ||
Person | 64.5 | |
| ||
People | 63.5 | |
| ||
Prison | 59.2 | |
| ||
Person | 58.4 | |
| ||
Hall | 57.5 | |
| ||
Waiting Room | 55.6 | |
| ||
Floor | 55.4 | |
| ||
Person | 46.5 | |
|
Clarifai
created on 2019-06-07
people | 99.9 | |
| ||
adult | 99 | |
| ||
man | 97.6 | |
| ||
monochrome | 94.6 | |
| ||
military | 94.5 | |
| ||
indoors | 94.2 | |
| ||
war | 93.9 | |
| ||
crowd | 92.7 | |
| ||
horizontal plane | 89.6 | |
| ||
horizontal | 87.6 | |
| ||
transportation system | 86.7 | |
| ||
woman | 84.8 | |
| ||
military uniform | 84.6 | |
| ||
administration | 84 | |
| ||
conformity | 83.2 | |
| ||
uniform | 81.2 | |
| ||
wear | 80.1 | |
| ||
group together | 79 | |
| ||
child | 78.9 | |
| ||
illustration | 78.9 | |
|
Imagga
created on 2019-06-07
snow | 39.5 | |
| ||
city | 29.9 | |
| ||
pier | 28.8 | |
| ||
architecture | 27.1 | |
| ||
travel | 23.2 | |
| ||
building | 22.5 | |
| ||
winter | 22.1 | |
| ||
sky | 21.7 | |
| ||
station | 21 | |
| ||
weather | 19.4 | |
| ||
car | 18.6 | |
| ||
railway station | 17.4 | |
| ||
water | 17.4 | |
| ||
passenger car | 17.3 | |
| ||
old | 16.7 | |
| ||
landscape | 16.4 | |
| ||
support | 16.3 | |
| ||
sea | 15.6 | |
| ||
river | 15.1 | |
| ||
terminal | 15.1 | |
| ||
tourism | 14.9 | |
| ||
device | 14 | |
| ||
urban | 14 | |
| ||
wheeled vehicle | 13.4 | |
| ||
ocean | 13.4 | |
| ||
coast | 12.6 | |
| ||
vacation | 12.3 | |
| ||
vehicle | 12.2 | |
| ||
cold | 12.1 | |
| ||
historic | 11.9 | |
| ||
center | 11.7 | |
| ||
history | 11.6 | |
| ||
palace | 11.1 | |
| ||
beach | 11 | |
| ||
facility | 10.9 | |
| ||
landmark | 10.8 | |
| ||
transportation | 10.8 | |
| ||
bridge | 10.6 | |
| ||
ancient | 10.4 | |
| ||
wall | 10 | |
| ||
outdoor | 9.9 | |
| ||
boat | 9.9 | |
| ||
brick | 9.4 | |
| ||
historical | 9.4 | |
| ||
town | 9.3 | |
| ||
structure | 9.2 | |
| ||
sand | 8.7 | |
| ||
storm | 8.7 | |
| ||
clouds | 8.5 | |
| ||
destination | 8.4 | |
| ||
monument | 8.4 | |
| ||
house | 8.3 | |
| ||
street | 8.3 | |
| ||
horizon | 8.1 | |
| ||
sunset | 8.1 | |
| ||
university | 8 | |
| ||
night | 8 | |
| ||
train | 7.9 | |
| ||
summer | 7.7 | |
| ||
tourist | 7.6 | |
| ||
park | 7.6 | |
| ||
light | 7.4 | |
| ||
island | 7.3 | |
| ||
sun | 7.2 | |
| ||
bench | 7.2 | |
| ||
scenery | 7.2 | |
| ||
scenic | 7 | |
|
Google
created on 2019-06-07
Room | 71.4 | |
| ||
Building | 71.3 | |
| ||
Barracks | 55.2 | |
| ||
Telephone operator | 52.3 | |
| ||
Factory | 51.7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 27-44 |
Gender | Male, 50.5% |
Confused | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 49.5% |
Disgusted | 50.3% |
Angry | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 50.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Calm | 49.9% |
Disgusted | 49.5% |
Sad | 49.8% |
Happy | 49.6% |
Surprised | 49.5% |
Angry | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 2-5 |
Gender | Male, 50.4% |
Angry | 49.6% |
Happy | 49.5% |
Confused | 49.6% |
Disgusted | 49.5% |
Sad | 50% |
Surprised | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 60-90 |
Gender | Male, 50.2% |
Surprised | 49.6% |
Disgusted | 49.5% |
Sad | 49.8% |
Angry | 49.6% |
Confused | 49.5% |
Calm | 49.9% |
Happy | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Happy | 49.6% |
Angry | 49.6% |
Calm | 49.7% |
Sad | 49.9% |
Confused | 49.6% |
Disgusted | 49.7% |
Surprised | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Sad | 50.3% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.6% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Male, 50.4% |
Confused | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 49.6% |
Happy | 50.2% |
Angry | 49.6% |
Calm | 49.6% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50.3% |
Calm | 49.6% |
Happy | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Sad | 50.1% |
Confused | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50% |
Calm | 50.9% |
Surprised | 45.4% |
Confused | 45.3% |
Angry | 46.1% |
Sad | 46.7% |
Happy | 45.4% |
Disgusted | 45.1% |

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

AWS Rekognition
Age | 4-7 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 50.1% |
Calm | 49.5% |
Confused | 49.7% |
Happy | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 51.8% |
Disgusted | 46% |
Confused | 45.3% |
Happy | 46.9% |
Calm | 47.9% |
Surprised | 45.7% |
Angry | 46.7% |
Sad | 46.4% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50% |
Disgusted | 49.6% |
Calm | 49.5% |
Confused | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 49.5% |
Happy | 49.6% |
Sad | 50.3% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Confused | 49.6% |
Calm | 49.7% |
Happy | 49.6% |
Disgusted | 49.6% |
Sad | 49.7% |
Angry | 49.8% |
Surprised | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Angry | 49.5% |
Sad | 49.9% |
Happy | 49.6% |
Disgusted | 49.5% |
Calm | 49.8% |
Surprised | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 50.2% |
Confused | 49.6% |
Disgusted | 50.1% |
Surprised | 49.5% |
Sad | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.6% |
Feature analysis
Categories
Imagga
streetview architecture | 80.7% | |
| ||
beaches seaside | 9.7% | |
| ||
paintings art | 2.9% | |
| ||
nature landscape | 2.5% | |
| ||
cars vehicles | 2.4% | |
|
Captions
Microsoft
created on 2019-06-07
a group of people that are standing in the snow | 84.7% | |
| ||
a group of people standing in the snow | 84.6% | |
| ||
a group of people standing in front of a building | 84.5% | |
|
Text analysis
Amazon

Orphelinat

Editeur

Garcons

Le

Gand.

de

Sugg,

Albert

GAND.

Serie

Editeur Albert Sugg, a Gand.

GAND. Orphelinat de Garcons II Le Refectoire

Refectoire

Serie 1 N.205

a

1 N.205

II

1

M SL F RAO

de

Garçons

II

1

N,

205

Editeur

Albert

Sugg,

à

Gand.

GAND.
Orphelinat de Garçons II Le Refectoire
Série 1 N, 205
Editeur Albert Sugg, à Gand.

GAND.

Orphelinat

Le

Refectoire

Série