Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
blackboard | 37.3 | |
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classroom | 27.9 | |
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grunge | 26.4 | |
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teacher | 20.2 | |
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old | 18.8 | |
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room | 17.3 | |
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silhouette | 16.5 | |
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vintage | 16.5 | |
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design | 16.3 | |
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retro | 15.6 | |
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student | 14.9 | |
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education | 14.7 | |
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texture | 14.6 | |
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people | 14.5 | |
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school | 14.3 | |
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male | 14.2 | |
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man | 13.4 | |
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person | 13.3 | |
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drawing | 13.3 | |
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business | 12.7 | |
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art | 12.7 | |
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aged | 12.7 | |
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style | 12.6 | |
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graphic | 12.4 | |
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pattern | 12.3 | |
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modern | 11.9 | |
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chalkboard | 11.8 | |
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building | 11.4 | |
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structure | 11.3 | |
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window | 10.9 | |
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frame | 10.9 | |
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dirty | 10.8 | |
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class | 10.6 | |
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stain | 10.6 | |
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hall | 10.4 | |
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adult | 10.1 | |
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space | 10.1 | |
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decoration | 10 | |
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material | 9.8 | |
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crowd | 9.6 | |
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text | 9.6 | |
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monitor | 9.5 | |
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study | 9.3 | |
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board | 9 | |
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university | 9 | |
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black | 9 | |
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paper | 8.9 | |
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web site | 8.9 | |
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teaching | 8.8 | |
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antique | 8.7 | |
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ancient | 8.6 | |
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diagram | 8.6 | |
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architecture | 8.6 | |
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college | 8.5 | |
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floral | 8.5 | |
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house | 8.4 | |
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map | 8.3 | |
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human | 8.2 | |
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paint | 8.1 | |
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educator | 8.1 | |
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symbol | 8.1 | |
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group | 8.1 | |
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professional | 7.9 | |
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portrait | 7.8 | |
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flower | 7.7 | |
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wallpaper | 7.7 | |
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writing | 7.5 | |
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happy | 7.5 | |
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light | 7.3 | |
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success | 7.2 | |
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border | 7.2 | |
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businessman | 7.1 | |
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creative | 7.1 | |
|
Google
created on 2019-06-05
Photograph | 96.1 | |
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Text | 91.2 | |
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Snapshot | 85.6 | |
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Room | 83.9 | |
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History | 68.8 | |
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Photography | 62.4 | |
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Photographic paper | 60.6 | |
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Stock photography | 59.4 | |
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Album | 58.2 | |
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Illustration | 50.4 | |
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Art | 50.2 | |
|
Microsoft
created on 2019-06-05
person | 97.4 | |
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clothing | 81.3 | |
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gallery | 66.5 | |
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room | 63 | |
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picture frame | 7.7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 4-9 |
Gender | Female, 54.8% |
Disgusted | 45.2% |
Confused | 45.2% |
Happy | 45.1% |
Calm | 45.1% |
Surprised | 45.1% |
Sad | 53.3% |
Angry | 46% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.4% |
Angry | 49.7% |
Sad | 49.8% |
Calm | 49.6% |
Surprised | 49.6% |
Confused | 49.5% |
Disgusted | 49.6% |
Happy | 49.7% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Sad | 50.4% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.3% |
Sad | 50% |
Surprised | 49.5% |
Confused | 49.5% |
Angry | 49.8% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.6% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.4% |
Confused | 49.5% |
Sad | 50.3% |
Disgusted | 49.6% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.5% |
Happy | 49.7% |
Disgusted | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
Calm | 49.6% |
Surprised | 49.6% |
Sad | 49.9% |

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

AWS Rekognition
Age | 14-23 |
Gender | Female, 50.2% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50.5% |
Confused | 49.5% |

AWS Rekognition
Age | 45-63 |
Gender | Female, 50% |
Happy | 49.6% |
Surprised | 49.6% |
Confused | 49.6% |
Disgusted | 49.6% |
Calm | 49.7% |
Angry | 49.6% |
Sad | 49.9% |

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

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

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.2% |
Sad | 49.5% |
Disgusted | 50.1% |
Surprised | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.7% |
Angry | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Surprised | 49.6% |
Happy | 49.6% |
Sad | 49.6% |
Angry | 49.5% |
Disgusted | 49.5% |
Confused | 49.6% |
Calm | 50.1% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.3% |
Happy | 49.6% |
Sad | 49.6% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Disgusted | 50.2% |

AWS Rekognition
Age | 38-57 |
Gender | Female, 50.3% |
Happy | 49.5% |
Disgusted | 50.2% |
Angry | 49.5% |
Confused | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50% |
Surprised | 49.6% |
Disgusted | 49.6% |
Angry | 49.7% |
Sad | 49.7% |
Happy | 49.5% |
Confused | 49.7% |
Calm | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Disgusted | 49.6% |
Confused | 49.6% |
Calm | 49.8% |
Angry | 49.6% |
Happy | 49.7% |
Sad | 49.6% |
Surprised | 49.6% |
Feature analysis
Categories
Imagga
food drinks | 32.4% | |
| ||
text visuals | 27.5% | |
| ||
events parties | 26.7% | |
| ||
interior objects | 4.9% | |
| ||
people portraits | 4.4% | |
| ||
paintings art | 3.2% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people in a room | 69.3% | |
| ||
a group of people standing in front of a sign | 55.4% | |
| ||
a group of people in front of a sign | 55.3% | |
|
Text analysis
Amazon

Guild

National

Fruit

National Plant, Flower, and Fruit Guild

and

Flower,

Plant,

Botony

Children

for

1906.

Botony Chass for Children New York City 1906.

Chass

City

York

C17.73.6-3

New

and

Botany

far

City

1906.

National Plant, Flower, and Fruit Guild
Botany Class far Children-New Vark City 1906.

National

Plant,

Flower,

Fruit

Guild

Class

Children-New

Vark