Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
kin | 56.3 | |
| ||
person | 24.5 | |
| ||
money | 22.9 | |
| ||
currency | 20.6 | |
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business | 20 | |
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man | 19.5 | |
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people | 18.4 | |
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old | 18.1 | |
| ||
cash | 17.4 | |
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vintage | 16.5 | |
| ||
portrait | 16.2 | |
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dollar | 15.8 | |
| ||
paper | 15.7 | |
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banking | 15.6 | |
| ||
postmark | 14.8 | |
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stamp | 14.5 | |
| ||
14.4 | ||
| ||
letter | 13.7 | |
| ||
close | 13.7 | |
| ||
male | 13.5 | |
| ||
wealth | 13.5 | |
| ||
bank | 13.4 | |
| ||
financial | 13.4 | |
| ||
newspaper | 13.3 | |
| ||
finance | 12.7 | |
| ||
envelope | 12.7 | |
| ||
dollars | 12.5 | |
| ||
bill | 12.4 | |
| ||
black | 12.1 | |
| ||
one | 11.9 | |
| ||
philately | 11.8 | |
| ||
circa | 11.8 | |
| ||
postage | 11.8 | |
| ||
postal | 11.8 | |
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aged | 11.8 | |
| ||
retro | 11.5 | |
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product | 11.4 | |
| ||
face | 11.4 | |
| ||
group | 11.3 | |
| ||
ancient | 11.2 | |
| ||
savings | 11.2 | |
| ||
card | 11 | |
| ||
slick | 10.9 | |
| ||
closeup | 10.8 | |
| ||
adult | 10.7 | |
| ||
hundred | 10.6 | |
| ||
exchange | 10.5 | |
| ||
creation | 10.2 | |
| ||
planner | 9.8 | |
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us | 9.6 | |
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united | 9.5 | |
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investment | 9.2 | |
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franklin | 8.8 | |
| ||
success | 8.8 | |
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office | 8.8 | |
| ||
symbol | 8.7 | |
| ||
bills | 8.7 | |
| ||
couple | 8.7 | |
| ||
loan | 8.6 | |
| ||
senior | 8.4 | |
| ||
economy | 8.3 | |
| ||
message | 8.2 | |
| ||
happy | 8.1 | |
| ||
art | 8 | |
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market | 8 | |
| ||
shows | 7.9 | |
| ||
printed | 7.9 | |
| ||
address | 7.8 | |
| ||
banknote | 7.8 | |
| ||
states | 7.7 | |
| ||
finances | 7.7 | |
| ||
pay | 7.7 | |
| ||
stock | 7.5 | |
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daily | 7.5 | |
| ||
professional | 7.5 | |
| ||
world | 7.5 | |
| ||
rich | 7.4 | |
| ||
swordfish | 7.2 | |
| ||
businessman | 7.1 | |
| ||
day | 7.1 | |
|
Google
created on 2022-01-23
Shirt | 94.6 | |
| ||
Photograph | 94.2 | |
| ||
Hat | 81.5 | |
| ||
Flash photography | 80.8 | |
| ||
Adaptation | 79.4 | |
| ||
Font | 79.4 | |
| ||
Event | 71.4 | |
| ||
Handwriting | 69.4 | |
| ||
Vintage clothing | 68.3 | |
| ||
Crew | 66.9 | |
| ||
Photo caption | 64.8 | |
| ||
Stock photography | 62.5 | |
| ||
Art | 60.2 | |
| ||
Photographic paper | 59.9 | |
| ||
History | 56.5 | |
| ||
Monochrome photography | 53.9 | |
| ||
T-shirt | 53.4 | |
| ||
Advertising | 51.4 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.9% |
Sad | 63.1% |
Happy | 24.8% |
Calm | 4.2% |
Angry | 3.6% |
Confused | 2.2% |
Disgusted | 1.1% |
Fear | 0.6% |
Surprised | 0.4% |

AWS Rekognition
Age | 54-64 |
Gender | Male, 97% |
Sad | 63.4% |
Confused | 15% |
Calm | 14% |
Surprised | 2.7% |
Angry | 1.4% |
Disgusted | 1.3% |
Happy | 1.1% |
Fear | 1% |

AWS Rekognition
Age | 65-75 |
Gender | Male, 100% |
Happy | 81.5% |
Calm | 18.1% |
Surprised | 0.1% |
Confused | 0.1% |
Fear | 0.1% |
Sad | 0.1% |
Disgusted | 0.1% |
Angry | 0% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 100% |
Calm | 98.6% |
Sad | 1% |
Surprised | 0.1% |
Fear | 0.1% |
Angry | 0.1% |
Confused | 0.1% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 100% |
Happy | 89% |
Angry | 3.5% |
Surprised | 2.9% |
Disgusted | 1.4% |
Fear | 1.2% |
Calm | 0.9% |
Sad | 0.7% |
Confused | 0.4% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 100% |
Fear | 91.1% |
Calm | 4.8% |
Surprised | 1.9% |
Angry | 0.7% |
Sad | 0.6% |
Confused | 0.3% |
Disgusted | 0.3% |
Happy | 0.2% |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Female |

Microsoft Cognitive Services
Age | 44 |
Gender | Female |

Microsoft Cognitive Services
Age | 70 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 63 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 59.6% | |
| ||
paintings art | 35.3% | |
| ||
text visuals | 4.2% | |
|
Captions
Microsoft
created on 2022-01-23
Text analysis
Amazon

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