Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
equipment | 24.9 | |
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electronic equipment | 20 | |
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mixer | 17.8 | |
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glass | 16.4 | |
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technology | 16.3 | |
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light | 16 | |
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interior | 15 | |
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digital | 14.6 | |
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modern | 13.3 | |
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table | 12.9 | |
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furniture | 12.5 | |
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alcohol | 12.1 | |
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party | 12 | |
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design | 11.8 | |
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wineglass | 11.7 | |
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3d | 11.6 | |
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business | 11.5 | |
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drink | 10.8 | |
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container | 10.7 | |
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black | 10.3 | |
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three dimensional | 10.3 | |
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stage | 10.3 | |
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amplifier | 10.1 | |
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bottle | 9.9 | |
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wine | 9.7 | |
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information | 9.7 | |
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home | 9.6 | |
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luxury | 9.4 | |
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beverage | 9.3 | |
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graphics | 9.2 | |
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house | 9.2 | |
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city | 9.1 | |
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hand | 9.1 | |
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food | 9.1 | |
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kitchen | 8.9 | |
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urban | 8.7 | |
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counter | 8.6 | |
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architecture | 8.6 | |
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menorah | 8.5 | |
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effects | 8.5 | |
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indoor | 8.2 | |
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music | 8.1 | |
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decoration | 8 | |
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computer | 8 | |
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night | 8 | |
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restaurant | 8 | |
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machine | 7.9 | |
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indoors | 7.9 | |
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structure | 7.9 | |
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render | 7.8 | |
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communication | 7.6 | |
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reflection | 7.4 | |
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case | 7.4 | |
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inside | 7.4 | |
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lamp | 7.4 | |
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metal | 7.2 | |
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Google
created on 2022-01-22
Black | 89.6 | |
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Black-and-white | 86.1 | |
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Style | 84 | |
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Font | 83.7 | |
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Monochrome photography | 75.6 | |
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Beauty | 75.6 | |
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Monochrome | 75.5 | |
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Room | 69.1 | |
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Event | 68.6 | |
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Design | 68.3 | |
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Circle | 66.7 | |
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Rectangle | 66.1 | |
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Glass | 63.5 | |
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Still life photography | 63.4 | |
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Art | 62.3 | |
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Stock photography | 62 | |
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Light fixture | 60.6 | |
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City | 58.7 | |
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Pattern | 56 | |
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Horizon | 55.5 | |
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Microsoft
created on 2022-01-22
black and white | 88 | |
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text | 75.7 | |
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water | 60.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 25-35 |
Gender | Male, 56.8% |
Sad | 67.3% |
Calm | 21.2% |
Confused | 4.3% |
Happy | 2.9% |
Disgusted | 1.8% |
Angry | 1.1% |
Surprised | 0.9% |
Fear | 0.6% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 97.7% |
Calm | 56.8% |
Happy | 21.3% |
Sad | 14.4% |
Confused | 3% |
Angry | 2.7% |
Disgusted | 0.8% |
Surprised | 0.5% |
Fear | 0.5% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 97.6% |
Happy | 89.9% |
Calm | 2.4% |
Surprised | 2.3% |
Sad | 2% |
Angry | 1.3% |
Fear | 0.8% |
Disgusted | 0.7% |
Confused | 0.6% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 64.4% |
Happy | 51.8% |
Calm | 34.8% |
Surprised | 4.7% |
Angry | 2.6% |
Sad | 2.5% |
Disgusted | 1.7% |
Fear | 1.1% |
Confused | 0.8% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 74.6% |
Sad | 72% |
Calm | 19.1% |
Happy | 4.9% |
Confused | 2.5% |
Disgusted | 0.5% |
Angry | 0.4% |
Surprised | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 91.9% |
Calm | 51.6% |
Happy | 38.8% |
Sad | 3.1% |
Disgusted | 1.6% |
Fear | 1.5% |
Surprised | 1.4% |
Angry | 1.3% |
Confused | 0.6% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 98.4% |
Calm | 65.9% |
Disgusted | 17.4% |
Surprised | 5.7% |
Sad | 3.8% |
Angry | 3.6% |
Happy | 2.6% |
Confused | 0.6% |
Fear | 0.3% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 83.7% |
Calm | 86.2% |
Surprised | 4.1% |
Happy | 3.1% |
Disgusted | 2.8% |
Sad | 1.8% |
Angry | 1% |
Confused | 0.5% |
Fear | 0.5% |

AWS Rekognition
Age | 14-22 |
Gender | Male, 65.1% |
Calm | 66.1% |
Sad | 12.4% |
Happy | 8.3% |
Confused | 6.4% |
Disgusted | 2.9% |
Fear | 1.5% |
Angry | 1.2% |
Surprised | 1% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 57.1% |
Calm | 98.9% |
Happy | 0.3% |
Fear | 0.3% |
Sad | 0.2% |
Angry | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Surprised | 0% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 94.8% |
Calm | 58.1% |
Happy | 18% |
Sad | 12.4% |
Angry | 6% |
Fear | 1.8% |
Surprised | 1.6% |
Confused | 1.1% |
Disgusted | 0.9% |
Feature analysis
Categories
Imagga
interior objects | 87.5% | |
| ||
cars vehicles | 8.8% | |
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streetview architecture | 1.6% | |
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food drinks | 1.3% | |
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Captions
Microsoft
created on 2022-01-22
a group of people in a room | 66.1% | |
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a group of people performing on a stage | 38.7% | |
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a group of people standing in a room | 38.6% | |
|
Text analysis
Amazon

NO

KODAK

3.50

2.50

-ECCESSORES

REFUNDS

KODAK BYLEEX

L75

1.50

IDCHANGES

DE

BYLEEX

KIA

WAS

TO LEAR

-KCESSONES
NO

-KCESSONES

NO