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 | 98.3 | |
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Person | 98.3 | |
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Person | 98 | |
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Person | 96.7 | |
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Advertisement | 94.6 | |
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Person | 94.2 | |
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Person | 94.1 | |
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Person | 92.5 | |
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Person | 91.7 | |
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Person | 90 | |
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Person | 89.6 | |
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Person | 89.3 | |
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Poster | 88.6 | |
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Person | 78.3 | |
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Person | 77.3 | |
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Paper | 75.4 | |
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Brochure | 75.4 | |
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Flyer | 75.4 | |
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Person | 75.4 | |
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Collage | 74.8 | |
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Person | 73.4 | |
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Crowd | 73.1 | |
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People | 66.2 | |
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Person | 62.8 | |
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Person | 62.4 | |
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Person | 62.4 | |
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Person | 61.2 | |
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Clothing | 60.5 | |
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Apparel | 60.5 | |
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Person | 48.3 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
classroom | 18.9 | |
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city | 17.4 | |
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web site | 16.7 | |
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room | 16 | |
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people | 15.6 | |
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winter | 15.3 | |
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grunge | 14.5 | |
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shop | 14.1 | |
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travel | 14.1 | |
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old | 13.9 | |
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building | 13.1 | |
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snow | 13 | |
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history | 12.5 | |
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business | 12.1 | |
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architecture | 11.7 | |
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silhouette | 11.6 | |
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crowd | 11.5 | |
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man | 11.5 | |
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urban | 11.4 | |
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group | 11.3 | |
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shoe shop | 11.2 | |
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transportation | 10.8 | |
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black | 10.2 | |
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male | 9.9 | |
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tourism | 9.9 | |
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sport | 9.9 | |
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scene | 9.5 | |
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cold | 9.5 | |
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art | 9.4 | |
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ice | 9.4 | |
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speed | 9.2 | |
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outdoors | 8.9 | |
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night | 8.9 | |
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facility | 8.8 | |
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light | 8.7 | |
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mercantile establishment | 8.4 | |
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drawing | 8.4 | |
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sky | 8.3 | |
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vintage | 8.3 | |
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structure | 8.3 | |
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life | 8.1 | |
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activity | 8.1 | |
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water | 8 | |
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space | 7.8 | |
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station | 7.7 | |
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men | 7.7 | |
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move | 7.7 | |
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treasury | 7.6 | |
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grungy | 7.6 | |
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walking | 7.6 | |
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power | 7.5 | |
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poster | 7.5 | |
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house | 7.5 | |
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pattern | 7.5 | |
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landscape | 7.4 | |
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tourist | 7.2 | |
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paint | 7.2 | |
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adult | 7.1 | |
|
Google
created on 2019-06-05
Photograph | 96.5 | |
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Text | 89.7 | |
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Snapshot | 86.4 | |
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Photographic paper | 78.5 | |
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Room | 74.4 | |
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Photography | 72.5 | |
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Font | 68.6 | |
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Adaptation | 67 | |
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Stock photography | 65.4 | |
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Collection | 62.9 | |
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Art | 58.1 | |
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History | 57.6 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 50% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Sad | 50.4% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.5% |
Calm | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 50.5% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.3% |
Calm | 49.6% |
Angry | 49.6% |
Happy | 50.1% |
Confused | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.5% |
Calm | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 50.5% |
Surprised | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 9-14 |
Gender | Female, 50.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Sad | 50.4% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.1% |
Angry | 50.1% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.6% |
Sad | 49.7% |
Confused | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 14-23 |
Gender | Female, 50.4% |
Sad | 50.3% |
Calm | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.5% |
Calm | 49.5% |
Sad | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Happy | 50.3% |
Angry | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Angry | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Confused | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50.1% |
Angry | 49.6% |
Sad | 49.6% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 50.2% |
Surprised | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.2% |
Surprised | 49.5% |
Sad | 50.1% |
Calm | 49.6% |
Happy | 49.6% |
Disgusted | 49.5% |
Confused | 49.6% |
Angry | 49.5% |

AWS Rekognition
Age | 14-25 |
Gender | Male, 50.2% |
Angry | 49.6% |
Disgusted | 50.3% |
Sad | 49.5% |
Happy | 49.5% |
Confused | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |
Feature analysis
Amazon
Categories
Imagga
interior objects | 84.9% | |
| ||
events parties | 9.9% | |
| ||
text visuals | 2.2% | |
| ||
food drinks | 1.4% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people in a room | 54.5% | |
| ||
an old photo of a person | 41.1% | |
| ||
an old photo of a person | 41% | |
|
Text analysis
Amazon

Kingsley

House,

The

La.

The Kingsley House, New Orleans, La.

New

Orleans,

The begroming

begroming

sP

GS 29.46.o
The Kingsley House, New Orleans, La.
A Kindergarton
/ncafron Se
The beginmig n dressmang

29.46.o

The

House,

Kindergarton

Se

n

GS

Kingsley

New

Orleans,

La.

A

/ncafron

beginmig

dressmang