Machine Generated Data
Tags
Amazon
created on 2021-12-15
Clarifai
created on 2023-10-15
Imagga
created on 2021-12-15
man | 47.7 | |
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hat | 45.7 | |
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male | 39 | |
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clothing | 32.7 | |
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people | 30.7 | |
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person | 28.6 | |
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cowboy hat | 28.6 | |
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men | 23.2 | |
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adult | 22.8 | |
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portrait | 22 | |
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bow tie | 21 | |
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military uniform | 21 | |
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uniform | 20.9 | |
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business | 20.6 | |
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face | 19.9 | |
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professional | 19.8 | |
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work | 19.6 | |
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headdress | 19.1 | |
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suit | 17.7 | |
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necktie | 17.1 | |
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covering | 16.2 | |
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hand | 15.9 | |
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smile | 15.7 | |
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worker | 15.6 | |
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consumer goods | 15.1 | |
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businessman | 15 | |
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happy | 13.8 | |
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attractive | 13.3 | |
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guy | 12.9 | |
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building | 12.8 | |
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looking | 12.8 | |
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black | 12.6 | |
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office | 12.5 | |
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senior | 12.2 | |
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construction | 12 | |
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occupation | 11.9 | |
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old | 11.8 | |
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handsome | 11.6 | |
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job | 11.5 | |
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lifestyle | 10.8 | |
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working | 10.6 | |
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look | 10.5 | |
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industry | 10.2 | |
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smiling | 10.1 | |
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safety | 10.1 | |
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head | 10.1 | |
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helmet | 9.7 | |
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success | 9.7 | |
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skill | 9.6 | |
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couple | 9.6 | |
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meeting | 9.4 | |
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happiness | 9.4 | |
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site | 9.4 | |
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model | 9.3 | |
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call | 9.1 | |
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human | 9 | |
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style | 8.9 | |
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engineer | 8.9 | |
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garment | 8.8 | |
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indoors | 8.8 | |
| ||
serious | 8.6 | |
| ||
shirt | 8.4 | |
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mature | 8.4 | |
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one | 8.2 | |
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standing | 7.8 | |
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architecture | 7.8 | |
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corporate | 7.7 | |
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workplace | 7.6 | |
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two | 7.6 | |
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engineering | 7.6 | |
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tie | 7.6 | |
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window | 7.5 | |
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one person | 7.5 | |
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manager | 7.4 | |
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jacket | 7.4 | |
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indoor | 7.3 | |
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team | 7.2 | |
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shop | 7.1 | |
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hair | 7.1 | |
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love | 7.1 | |
|
Google
created on 2021-12-15
Clothing | 98.8 | |
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Outerwear | 95.1 | |
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Photograph | 94.2 | |
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Hat | 92.6 | |
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Coat | 87 | |
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Fedora | 85.9 | |
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Sun hat | 83.1 | |
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Headgear | 81.7 | |
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Art | 81.6 | |
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Collar | 79.4 | |
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Monochrome | 75 | |
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Blazer | 74.6 | |
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Snapshot | 74.3 | |
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White-collar worker | 73 | |
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Monochrome photography | 72.1 | |
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Vintage clothing | 71.1 | |
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Room | 67.6 | |
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Event | 67.3 | |
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Font | 67.2 | |
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Picture frame | 66.9 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 42-60 |
Gender | Male, 88.1% |
Calm | 99.3% |
Sad | 0.4% |
Happy | 0.3% |
Angry | 0.1% |
Surprised | 0% |
Disgusted | 0% |
Confused | 0% |
Fear | 0% |

AWS Rekognition
Age | 23-37 |
Gender | Male, 97.6% |
Calm | 96.8% |
Sad | 1.7% |
Confused | 0.7% |
Angry | 0.3% |
Surprised | 0.3% |
Happy | 0.1% |
Fear | 0.1% |
Disgusted | 0% |

Microsoft Cognitive Services
Age | 33 |
Gender | Male |

Microsoft Cognitive Services
Age | 57 |
Gender | Male |

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 | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 93.7% | |
| ||
people portraits | 4.5% | |
|
Captions
Microsoft
created on 2021-12-15
a group of people standing in front of a window | 92.3% | |
| ||
a group of people standing in front of a building | 92.2% | |
| ||
a group of people standing in front of a store window | 87.3% | |
|
Text analysis
Amazon

M

M CHOCERYTES

Rub

STUDELAND

CHOCERYTES

ND
OROCERY CS

ND

OROCERY

CS