Machine Generated Data
Tags
Amazon
created on 2023-10-05
Clothing | 100 | |
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Sun Hat | 100 | |
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Adult | 99.6 | |
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Male | 99.6 | |
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Man | 99.6 | |
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Person | 99.6 | |
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Adult | 99.5 | |
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Male | 99.5 | |
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Man | 99.5 | |
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Person | 99.5 | |
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Adult | 99.5 | |
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Male | 99.5 | |
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Man | 99.5 | |
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Person | 99.5 | |
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Adult | 99.4 | |
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Male | 99.4 | |
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Man | 99.4 | |
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Person | 99.4 | |
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Adult | 98 | |
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Male | 98 | |
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Man | 98 | |
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Person | 98 | |
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Face | 80 | |
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Head | 80 | |
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Barbershop | 77.1 | |
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Indoors | 77.1 | |
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Jeans | 70.6 | |
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Pants | 70.6 | |
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Person | 62.8 | |
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Hat | 60.8 | |
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Shop | 58 | |
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Coat | 57.4 | |
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Hat | 57.1 | |
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Cap | 57 | |
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Shirt | 56.9 | |
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Cowboy Hat | 56.4 | |
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Sitting | 55.7 | |
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Hat | 55.3 | |
|
Clarifai
created on 2018-05-11
Imagga
created on 2023-10-05
barbershop | 100 | |
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shop | 100 | |
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mercantile establishment | 85.5 | |
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place of business | 57 | |
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bakery | 29.2 | |
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establishment | 28.6 | |
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building | 25.9 | |
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door | 25.7 | |
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wall | 25.6 | |
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old | 25.1 | |
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architecture | 21.1 | |
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window | 17.4 | |
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house | 15.9 | |
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city | 13.3 | |
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vintage | 13.2 | |
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ancient | 13 | |
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cash machine | 12 | |
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brick | 11.3 | |
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structure | 11.1 | |
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machine | 11.1 | |
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device | 11 | |
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street | 11 | |
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travel | 10.6 | |
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wooden | 10.5 | |
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sign | 10.5 | |
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urban | 10.5 | |
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aged | 10 | |
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guillotine | 9.7 | |
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entrance | 9.7 | |
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antique | 9.5 | |
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construction | 9.4 | |
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people | 8.9 | |
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man | 8.7 | |
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glass | 8.6 | |
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grunge | 8.5 | |
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outdoor | 8.4 | |
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retro | 8.2 | |
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dirty | 8.1 | |
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instrument of execution | 8 | |
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home | 8 | |
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decoration | 8 | |
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doorway | 7.9 | |
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empty | 7.7 | |
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closed | 7.7 | |
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facade | 7.7 | |
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england | 7.6 | |
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wood | 7.5 | |
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town | 7.4 | |
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exterior | 7.4 | |
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industrial | 7.3 | |
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sky | 7 | |
|
Google
created on 2018-05-11
black and white | 87.9 | |
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infrastructure | 86.4 | |
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street | 78.3 | |
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standing | 74.7 | |
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monochrome photography | 72.3 | |
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monochrome | 67.8 | |
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road | 58.5 | |
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vehicle | 55.9 | |
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human behavior | 54.5 | |
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advertising | 52.1 | |
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vintage clothing | 51.3 | |
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history | 50.5 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 43-51 |
Gender | Male, 99.9% |
Angry | 45.2% |
Calm | 40.9% |
Surprised | 7.8% |
Fear | 6% |
Confused | 5.5% |
Sad | 2.9% |
Disgusted | 2.4% |
Happy | 0.6% |

AWS Rekognition
Age | 49-57 |
Gender | Female, 89.6% |
Happy | 96.2% |
Surprised | 6.7% |
Fear | 6% |
Sad | 2.2% |
Calm | 1.3% |
Angry | 0.4% |
Disgusted | 0.3% |
Confused | 0.3% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 98.8% |
Sad | 80.4% |
Calm | 29.2% |
Happy | 12% |
Surprised | 10% |
Fear | 6.8% |
Disgusted | 5.7% |
Angry | 4.3% |
Confused | 3.8% |

Microsoft Cognitive Services
Age | 36 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Adult
Male
Man
Person
Jeans
Hat
Categories
Imagga
streetview architecture | 98.8% | |
|
Captions
Microsoft
created on 2018-05-11
a group of people standing in front of a store | 93.3% | |
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a person standing in front of a store | 93% | |
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a group of people that are standing in front of a store | 87.9% | |
|
Text analysis
Amazon

HOME

MEATS

EGGS

BROS.

CHAPIN

POULTRY

AND

DRESSED

OULTRY
OME
DRESSED
MEATS
AND
EGGS
CHAPIM
BROS

OULTRY

OME

DRESSED

MEATS

AND

EGGS

CHAPIM

BROS