Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 99.6 | |
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Person | 99.6 | |
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Person | 99.5 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 99.3 | |
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Person | 96.6 | |
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Person | 95.6 | |
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People | 93.3 | |
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Person | 91.5 | |
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Military | 90.8 | |
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Military Uniform | 88 | |
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Person | 87.8 | |
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Person | 86.5 | |
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Officer | 82.4 | |
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Sailor Suit | 81.6 | |
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Person | 81.6 | |
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Clothing | 76.8 | |
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Apparel | 76.8 | |
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Person | 75.1 | |
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Person | 72.9 | |
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Person | 67.8 | |
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Armored | 62.5 | |
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Army | 62.5 | |
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Poster | 57.8 | |
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Advertisement | 57.8 | |
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Soldier | 57.6 | |
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Police | 57.2 | |
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Family | 56.7 | |
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Troop | 55.2 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
silhouette | 30.6 | |
| ||
man | 29.7 | |
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world | 27.3 | |
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people | 26.2 | |
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kin | 19.9 | |
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male | 19.2 | |
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person | 18 | |
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sunset | 18 | |
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men | 16.3 | |
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beach | 16 | |
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sport | 14.6 | |
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group | 14.5 | |
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brass | 14.5 | |
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child | 14 | |
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boy | 13.9 | |
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walking | 13.3 | |
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sky | 12.7 | |
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family | 12.4 | |
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black | 12 | |
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wind instrument | 11.9 | |
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ocean | 11.6 | |
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summer | 11.6 | |
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adult | 11.4 | |
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run | 10.6 | |
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cornet | 10.6 | |
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fun | 10.5 | |
| ||
sun | 10.5 | |
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holiday | 10 | |
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water | 10 | |
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uniform | 10 | |
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leisure | 10 | |
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team | 9.9 | |
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vacation | 9.8 | |
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sand | 9.8 | |
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business | 9.7 | |
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businessman | 9.7 | |
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dusk | 9.5 | |
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sea | 9.5 | |
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musical instrument | 9.1 | |
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old | 9.1 | |
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outdoors | 9 | |
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happiness | 8.6 | |
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travel | 8.4 | |
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outdoor | 8.4 | |
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coast | 8.1 | |
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military uniform | 8.1 | |
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women | 7.9 | |
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day | 7.8 | |
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couple | 7.8 | |
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life | 7.8 | |
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play | 7.8 | |
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hobby | 7.6 | |
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relax | 7.6 | |
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mother | 7.5 | |
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relaxation | 7.5 | |
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human | 7.5 | |
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evening | 7.5 | |
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landscape | 7.4 | |
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success | 7.2 | |
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active | 7.2 | |
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recreation | 7.2 | |
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history | 7.2 | |
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drawing | 7.1 | |
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together | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.3 | |
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People | 93.4 | |
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Snapshot | 86.7 | |
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Text | 85.2 | |
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Paper product | 67.3 | |
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Adaptation | 67 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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History | 60.4 | |
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Family | 59.2 | |
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Photographic paper | 56.3 | |
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Child | 52 | |
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Art | 50.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-52 |
Gender | Female, 52.4% |
Calm | 45.6% |
Angry | 50.7% |
Happy | 45.6% |
Sad | 47.4% |
Surprised | 45.2% |
Confused | 45.2% |
Disgusted | 45.3% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 54.6% |
Disgusted | 45.2% |
Confused | 45.3% |
Happy | 45% |
Calm | 51.2% |
Surprised | 46.7% |
Sad | 45.7% |
Angry | 45.9% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 55% |
Happy | 49.6% |
Disgusted | 45.8% |
Sad | 47.6% |
Surprised | 45.3% |
Confused | 45.4% |
Calm | 45.9% |
Angry | 45.4% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.6% |
Happy | 47.4% |
Sad | 49.8% |
Confused | 45.5% |
Calm | 45.8% |
Angry | 45.5% |
Disgusted | 45.8% |
Surprised | 45.2% |

AWS Rekognition
Age | 4-9 |
Gender | Male, 54.6% |
Angry | 45.3% |
Calm | 46.2% |
Surprised | 45.2% |
Sad | 46.2% |
Disgusted | 45.8% |
Happy | 50.7% |
Confused | 45.5% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 50.5% |
Surprised | 46.1% |
Disgusted | 45.2% |
Sad | 47.1% |
Calm | 49.2% |
Confused | 46.4% |
Angry | 45.8% |
Happy | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.9% |
Disgusted | 45.4% |
Confused | 45.8% |
Happy | 45.2% |
Sad | 49.4% |
Surprised | 45.4% |
Calm | 47.9% |
Angry | 45.9% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54% |
Sad | 45.3% |
Calm | 45.8% |
Surprised | 45.1% |
Confused | 45.3% |
Disgusted | 52.8% |
Happy | 45% |
Angry | 45.7% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 54.3% |
Happy | 49.2% |
Sad | 48.8% |
Angry | 46.5% |
Surprised | 45.2% |
Calm | 45% |
Confused | 45.3% |
Disgusted | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 53.6% |
Angry | 45.7% |
Surprised | 45.4% |
Calm | 49.6% |
Happy | 45.6% |
Confused | 45.3% |
Disgusted | 45.4% |
Sad | 47.9% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 52.4% |
Angry | 45.1% |
Calm | 45% |
Disgusted | 45.1% |
Happy | 45.2% |
Surprised | 45% |
Sad | 54.3% |
Confused | 45.1% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 54.4% |
Disgusted | 45.1% |
Confused | 45.2% |
Surprised | 45.2% |
Calm | 53.2% |
Happy | 45.1% |
Angry | 45.4% |
Sad | 45.8% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 54.7% |
Surprised | 45.2% |
Disgusted | 46.1% |
Sad | 45.5% |
Calm | 51.4% |
Confused | 45.1% |
Angry | 46.7% |
Happy | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.2% |
Angry | 47.4% |
Disgusted | 45.1% |
Surprised | 45% |
Calm | 50.9% |
Sad | 46.3% |
Happy | 45% |
Confused | 45.4% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 52.6% |
Surprised | 45.2% |
Sad | 45.5% |
Disgusted | 45.1% |
Calm | 45.1% |
Happy | 53.8% |
Angry | 45.1% |
Confused | 45.1% |

Microsoft Cognitive Services
Age | 21 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 51.5% | |
| ||
people portraits | 22.1% | |
| ||
text visuals | 15.9% | |
| ||
streetview architecture | 7.5% | |
| ||
paintings art | 1.1% | |
| ||
food drinks | 1.1% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people posing for a photo | 95% | |
| ||
a group of people posing for the camera | 94.9% | |
| ||
a group of people posing for a picture | 94.8% | |
|
Text analysis
Amazon

American

Citizens

Quarter.

To-morrow.

Bohemor-

American Citizens of To-morrow. arrow.

Bohemor- -ROlI'H Quarter.

of

-ROlI'H

arrow.

S

3
FINE WHIS
American Ctizens of 7o- orrow.
Bohemian-Polish Quarter

3

FINE

WHIS

American

Ctizens

of

7o-

orrow.

Bohemian-Polish

Quarter