Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-25
Imagga
created on 2021-12-14
book jacket | 48.9 | |
| ||
jacket | 40 | |
| ||
billboard | 30.1 | |
| ||
wrapping | 28.9 | |
| ||
signboard | 23.6 | |
| ||
covering | 21.6 | |
| ||
man | 19.5 | |
| ||
male | 19.1 | |
| ||
structure | 17.5 | |
| ||
product | 16.7 | |
| ||
black | 15.6 | |
| ||
photographer | 14.5 | |
| ||
symbol | 14.1 | |
| ||
people | 13.9 | |
| ||
adult | 13 | |
| ||
creation | 12.4 | |
| ||
vintage | 12.4 | |
| ||
professional | 11.9 | |
| ||
person | 11.2 | |
| ||
business | 10.9 | |
| ||
old | 10.4 | |
| ||
looking | 10.4 | |
| ||
technology | 10.4 | |
| ||
office | 9.8 | |
| ||
sign | 9.8 | |
| ||
human | 9.7 | |
| ||
style | 9.6 | |
| ||
silhouette | 9.1 | |
| ||
stamp | 8.7 | |
| ||
8.6 | ||
| ||
art | 8.6 | |
| ||
face | 8.5 | |
| ||
poster | 8.5 | |
| ||
portrait | 8.4 | |
| ||
book | 8.3 | |
| ||
daily | 8.2 | |
| ||
businessman | 7.9 | |
| ||
postmark | 7.9 | |
| ||
postage | 7.9 | |
| ||
work | 7.8 | |
| ||
play | 7.7 | |
| ||
drawing | 7.7 | |
| ||
movie | 7.7 | |
| ||
post | 7.6 | |
| ||
one | 7.5 | |
| ||
show | 7.3 | |
| ||
barbershop | 7.2 | |
| ||
newspaper | 7 | |
|
Google
created on 2021-12-14
Hat | 87 | |
| ||
Font | 82 | |
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Sun hat | 76.2 | |
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Event | 73.4 | |
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Poster | 72.5 | |
| ||
Vintage clothing | 70 | |
| ||
Crowd | 68.6 | |
| ||
Monochrome photography | 67.4 | |
| ||
Room | 66.7 | |
| ||
Photo caption | 65.3 | |
| ||
Art | 65.3 | |
| ||
Cap | 65 | |
| ||
Monochrome | 63.1 | |
| ||
T-shirt | 63.1 | |
| ||
History | 62.6 | |
| ||
Stock photography | 62.6 | |
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Suit | 58.9 | |
| ||
Paper product | 58.8 | |
| ||
Advertising | 57.3 | |
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Public event | 57.3 | |
|
Microsoft
created on 2021-12-14
text | 99.3 | |
| ||
person | 96.9 | |
| ||
clothing | 96.7 | |
| ||
poster | 93.9 | |
| ||
man | 91.8 | |
| ||
newspaper | 79.2 | |
| ||
hat | 74.3 | |
| ||
human face | 61.3 | |
| ||
people | 57.9 | |
| ||
black and white | 57.6 | |
| ||
posing | 51.9 | |
| ||
old | 40.8 | |
| ||
screenshot | 24 | |
| ||
picture frame | 7.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 15-27 |
Gender | Male, 83% |
Angry | 68.4% |
Calm | 23.6% |
Confused | 2.9% |
Sad | 1.8% |
Surprised | 1.2% |
Disgusted | 1% |
Fear | 0.6% |
Happy | 0.5% |

AWS Rekognition
Age | 28-44 |
Gender | Male, 97.8% |
Sad | 60% |
Calm | 15.5% |
Disgusted | 6.4% |
Happy | 5.3% |
Fear | 3.7% |
Confused | 3.7% |
Angry | 3.2% |
Surprised | 2.1% |

AWS Rekognition
Age | 49-67 |
Gender | Male, 83% |
Calm | 98.1% |
Angry | 1.2% |
Sad | 0.3% |
Surprised | 0.1% |
Confused | 0.1% |
Fear | 0.1% |
Happy | 0.1% |
Disgusted | 0% |

AWS Rekognition
Age | 43-61 |
Gender | Male, 99.1% |
Calm | 75.3% |
Happy | 8.5% |
Confused | 5.6% |
Disgusted | 3.6% |
Angry | 2.7% |
Sad | 1.7% |
Surprised | 1.4% |
Fear | 1.2% |

AWS Rekognition
Age | 26-42 |
Gender | Female, 77.3% |
Calm | 97.2% |
Angry | 1.1% |
Sad | 0.6% |
Disgusted | 0.3% |
Happy | 0.3% |
Fear | 0.2% |
Surprised | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 32-48 |
Gender | Female, 79.8% |
Calm | 98.6% |
Confused | 0.5% |
Surprised | 0.3% |
Angry | 0.2% |
Sad | 0.1% |
Happy | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 39-57 |
Gender | Male, 51.6% |
Calm | 44.4% |
Angry | 17.5% |
Fear | 11.8% |
Sad | 11.5% |
Confused | 7.5% |
Disgusted | 5.8% |
Surprised | 0.8% |
Happy | 0.6% |

AWS Rekognition
Age | 19-31 |
Gender | Male, 88.9% |
Sad | 71.9% |
Fear | 18.5% |
Confused | 3.8% |
Calm | 2.6% |
Angry | 1% |
Surprised | 1% |
Disgusted | 0.8% |
Happy | 0.3% |

Microsoft Cognitive Services
Age | 58 |
Gender | Female |

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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
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 | Unlikely |
Headwear | Likely |
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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 99.6% | |
|
Captions
Microsoft
created on 2021-12-14
a group of people posing for a photo | 90.3% | |
| ||
a group of people posing for the camera | 90.2% | |
| ||
a group of people posing for a picture | 90.1% | |
|
Text analysis
Amazon

Buy

UNTIL

New

the

Don't Buy the New

Don't

Repair

Repair the Old...

UNTIL PRICES DROP

PRICES

Old...

DROP

WAREHOUSE

WAREHOUSE WOR

WOR

ECTRAL

5-7

'O

Repair the Old..
Dont Buy the New
UNTIL PRICES DROP
WAREHOUSE WOR
10

Repair

the

Old..

Dont

Buy

New

UNTIL

PRICES

DROP

WAREHOUSE

WOR

10