Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
bride | 31.9 | |
| ||
groom | 31 | |
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dress | 28.9 | |
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couple | 27.9 | |
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people | 27.3 | |
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wedding | 26.6 | |
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adult | 25.3 | |
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love | 24.4 | |
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happy | 21.3 | |
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person | 20.3 | |
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marriage | 19.9 | |
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happiness | 19.6 | |
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man | 18.8 | |
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family | 18.7 | |
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clothing | 18.3 | |
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married | 18.2 | |
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bouquet | 17.2 | |
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teacher | 17.1 | |
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portrait | 16.2 | |
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women | 15.8 | |
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flowers | 15.6 | |
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nurse | 15.6 | |
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two | 15.2 | |
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smiling | 15.2 | |
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kin | 15.1 | |
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male | 14.9 | |
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church | 14.8 | |
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gown | 14.8 | |
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men | 14.6 | |
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ceremony | 14.5 | |
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educator | 14.1 | |
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together | 14 | |
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life | 13.7 | |
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home | 13.5 | |
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smile | 13.5 | |
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old | 11.8 | |
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bridal | 11.7 | |
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professional | 11.5 | |
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wife | 11.4 | |
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fashion | 11.3 | |
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clothes | 11.2 | |
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celebration | 11.2 | |
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catholic | 10.9 | |
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wed | 10.8 | |
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human | 10.5 | |
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attractive | 10.5 | |
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day | 10.2 | |
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mother | 10 | |
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husband | 10 | |
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romantic | 9.8 | |
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cheerful | 9.7 | |
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lady | 9.7 | |
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full length | 9.7 | |
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looking | 9.6 | |
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loving | 9.5 | |
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room | 9.5 | |
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lifestyle | 9.4 | |
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tradition | 9.2 | |
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elegance | 9.2 | |
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pretty | 9.1 | |
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new | 8.9 | |
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matrimony | 8.9 | |
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holy | 8.7 | |
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flower | 8.4 | |
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house | 8.3 | |
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health | 8.3 | |
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outdoors | 8.2 | |
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pose | 8.1 | |
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romance | 8 | |
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interior | 8 | |
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indoors | 7.9 | |
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holiday | 7.9 | |
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model | 7.8 | |
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hospital | 7.6 | |
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adults | 7.6 | |
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ring | 7.5 | |
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senior | 7.5 | |
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fun | 7.5 | |
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care | 7.4 | |
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child | 7.2 | |
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religion | 7.2 | |
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hair | 7.1 | |
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posing | 7.1 | |
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face | 7.1 | |
|
Google
created on 2019-06-05
Photograph | 97.2 | |
| ||
Snapshot | 85.6 | |
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Dress | 82.6 | |
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Room | 71.4 | |
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Event | 67 | |
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Formal wear | 63.7 | |
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Family | 63.2 | |
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Ceremony | 62.8 | |
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Photography | 62.4 | |
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Child | 61.3 | |
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Gown | 61.1 | |
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Classic | 56.7 | |
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Photograph album | 56.1 | |
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Vintage clothing | 53.5 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-57 |
Gender | Female, 54.7% |
Angry | 45.1% |
Surprised | 45% |
Sad | 54.5% |
Confused | 45% |
Calm | 45.2% |
Disgusted | 45% |
Happy | 45.1% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 54% |
Happy | 45.1% |
Sad | 51.2% |
Confused | 45.2% |
Calm | 48.2% |
Angry | 45.1% |
Disgusted | 45.1% |
Surprised | 45.1% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 54.7% |
Surprised | 45.2% |
Angry | 47.6% |
Sad | 49.4% |
Happy | 45.5% |
Disgusted | 45.1% |
Calm | 46.5% |
Confused | 45.7% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 54.1% |
Confused | 45.1% |
Surprised | 45.1% |
Angry | 45.1% |
Happy | 45.1% |
Sad | 54.5% |
Calm | 45.2% |
Disgusted | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.6% |
Angry | 45.1% |
Confused | 45% |
Calm | 46.8% |
Disgusted | 45% |
Happy | 45% |
Surprised | 45% |
Sad | 52.9% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 52.7% |
Angry | 45.2% |
Confused | 45.2% |
Calm | 52.2% |
Disgusted | 45.5% |
Happy | 45.7% |
Surprised | 45.2% |
Sad | 46% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.7% |
Surprised | 45.1% |
Happy | 45.2% |
Disgusted | 45.2% |
Calm | 45.9% |
Sad | 53.3% |
Angry | 45.1% |
Confused | 45.1% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 52.4% |
Disgusted | 45.2% |
Confused | 45.2% |
Happy | 45.5% |
Sad | 50.6% |
Surprised | 45.3% |
Calm | 47.8% |
Angry | 45.3% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 52.9% |
Calm | 45.6% |
Sad | 53.8% |
Disgusted | 45.1% |
Surprised | 45.1% |
Confused | 45.1% |
Happy | 45.2% |
Angry | 45.1% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 52.9% |
Disgusted | 45.2% |
Confused | 45.2% |
Surprised | 45.3% |
Calm | 48.9% |
Happy | 45.8% |
Angry | 45.2% |
Sad | 49.5% |

AWS Rekognition
Age | 14-23 |
Gender | Female, 53.2% |
Calm | 45.2% |
Angry | 47.4% |
Happy | 45.7% |
Surprised | 45.2% |
Confused | 45.2% |
Disgusted | 45.1% |
Sad | 51.3% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54% |
Angry | 45.3% |
Calm | 48.6% |
Surprised | 45.3% |
Disgusted | 45.3% |
Happy | 45.2% |
Sad | 49.6% |
Confused | 45.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.1% |
Sad | 54.3% |
Calm | 45.3% |
Happy | 45.2% |
Surprised | 45% |
Angry | 45.1% |
Disgusted | 45.1% |
Confused | 45.1% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 54.1% |
Calm | 46.7% |
Disgusted | 45.5% |
Sad | 51.5% |
Angry | 45.4% |
Happy | 45.4% |
Confused | 45.2% |
Surprised | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Confused | 45.3% |
Calm | 45.7% |
Angry | 45.4% |
Surprised | 45.3% |
Sad | 49.7% |
Happy | 45.2% |
Disgusted | 48.3% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Confused | 45.2% |
Angry | 45.3% |
Disgusted | 45.8% |
Surprised | 45.2% |
Sad | 50.7% |
Calm | 47.4% |
Happy | 45.3% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 54.8% |
Sad | 46.4% |
Disgusted | 45.3% |
Angry | 45.2% |
Confused | 45.8% |
Calm | 52.1% |
Surprised | 45.1% |
Happy | 45.2% |

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

AWS Rekognition
Age | 23-38 |
Gender | Female, 53.3% |
Happy | 45.5% |
Disgusted | 45.2% |
Surprised | 45.2% |
Angry | 45.3% |
Sad | 49.2% |
Confused | 45.1% |
Calm | 49.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Sad | 50.4% |
Calm | 49.6% |
Confused | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 57-77 |
Gender | Female, 54.4% |
Calm | 45% |
Confused | 45% |
Disgusted | 45% |
Happy | 45% |
Angry | 45.1% |
Sad | 54.9% |
Surprised | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Angry | 49.5% |
Sad | 49.5% |
Disgusted | 49.5% |
Calm | 50.4% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 45-63 |
Gender | Female, 52.6% |
Sad | 53.9% |
Disgusted | 45.3% |
Confused | 45.2% |
Happy | 45.1% |
Calm | 45.2% |
Surprised | 45.1% |
Angry | 45.2% |
Feature analysis
Categories
Imagga
interior objects | 71.3% | |
| ||
paintings art | 8.5% | |
| ||
beaches seaside | 5.8% | |
| ||
pets animals | 3.9% | |
| ||
people portraits | 3.8% | |
| ||
events parties | 2.2% | |
| ||
food drinks | 2% | |
| ||
streetview architecture | 1.6% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people posing for a photo | 90.2% | |
| ||
a group of people posing for the camera | 90.1% | |
| ||
a group of people posing for a picture | 90% | |
|
Text analysis
Amazon

Training

Promoting

for

Commercial

Negro

Industrial

Assimilation

Tuskegee

Agencies the Assimilation of Negro Promoting

the

and

Institute,

Agencies

Tuskegee Institute, Tuskegee, Alabama

Tuskegee,

of

ment Commercial Training for and Industrial Employment

Employment

Alabama

HOSPITAL

TRALNING

ment

AND

HOSPITAL AND NURSr TRALNING CH1001.

tt

NURSr

CH1001.

HosPITAL AND AURSE TRAIING SCHOO
Agencies Promoting Assimilation of the Negro
Training for Commercial and Industrial Employment
Tuskegee Institute, Tuskegee, Alabama

HosPITAL

AND

AURSE

TRAIING

SCHOO

Agencies

Promoting

Assimilation

of

the

Negro

Training

for

Commercial

and

Industrial

Employment

Tuskegee

Institute,

Tuskegee,

Alabama