Machine Generated Data
Tags
Amazon
created on 2022-03-05
Person | 99.7 | |
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Human | 99.7 | |
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Clothing | 99.7 | |
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Apparel | 99.7 | |
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Horse | 99.6 | |
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Animal | 99.6 | |
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Mammal | 99.6 | |
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Person | 98.2 | |
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Person | 97.2 | |
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Pants | 94.9 | |
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Face | 77.7 | |
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Coat | 71.8 | |
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Jeans | 69.1 | |
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Denim | 69.1 | |
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Hat | 66 | |
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Overcoat | 64 | |
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Portrait | 63.8 | |
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Photography | 63.8 | |
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Photo | 63.8 | |
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Helmet | 62 | |
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Female | 60.6 | |
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Furniture | 59.1 | |
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Jacket | 58.6 | |
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Sun Hat | 57.6 | |
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Suit | 56.8 | |
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Skin | 56.2 | |
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Costume | 55.3 | |
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Clarifai
created on 2023-10-22
Imagga
created on 2022-03-05
people | 20.1 | |
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person | 16.9 | |
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vintage | 13.2 | |
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clock | 13 | |
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adult | 13 | |
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world | 12.8 | |
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face | 12.8 | |
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art | 12.4 | |
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musical instrument | 11.6 | |
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man | 11.4 | |
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human | 11.2 | |
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old | 11.1 | |
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interior | 10.6 | |
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scene | 10.4 | |
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device | 10.3 | |
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equipment | 10.3 | |
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child | 10.1 | |
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time | 10.1 | |
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retro | 9.8 | |
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portrait | 9.7 | |
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percussion instrument | 9.4 | |
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inside | 9.2 | |
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dark | 9.2 | |
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stethoscope | 9.1 | |
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decoration | 9 | |
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religion | 9 | |
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style | 8.9 | |
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nurse | 8.9 | |
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home | 8.8 | |
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black | 8.4 | |
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modern | 8.4 | |
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fashion | 8.3 | |
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fun | 8.2 | |
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family | 8 | |
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ball | 8 | |
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room | 7.9 | |
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instrument | 7.9 | |
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boy | 7.8 | |
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window | 7.8 | |
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men | 7.7 | |
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culture | 7.7 | |
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god | 7.6 | |
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city | 7.5 | |
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technology | 7.4 | |
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male | 7.2 | |
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detail | 7.2 | |
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sexy | 7.2 | |
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hair | 7.1 | |
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women | 7.1 | |
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travel | 7 | |
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timepiece | 7 | |
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Google
created on 2022-03-05
Horse | 94.5 | |
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Black | 89.6 | |
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Working animal | 88.2 | |
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Standing | 86.4 | |
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Black-and-white | 85.7 | |
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Style | 84.1 | |
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Horse supplies | 84 | |
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Horse tack | 83.9 | |
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Bridle | 83.7 | |
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Hat | 79.9 | |
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Picture frame | 77.8 | |
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Pack animal | 77.4 | |
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Monochrome photography | 75.4 | |
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Rein | 75.3 | |
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Snapshot | 74.3 | |
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Monochrome | 73.6 | |
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Bag | 72.6 | |
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Luggage and bags | 70.1 | |
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Livestock | 69.4 | |
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Stock photography | 63.8 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 57-65 |
Gender | Female, 68.1% |
Happy | 99.9% |
Calm | 0.1% |
Confused | 0% |
Disgusted | 0% |
Sad | 0% |
Surprised | 0% |
Angry | 0% |
Fear | 0% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.9% |
Surprised | 56.5% |
Confused | 30.1% |
Calm | 9.8% |
Fear | 1.1% |
Angry | 0.8% |
Sad | 0.6% |
Happy | 0.6% |
Disgusted | 0.5% |

Microsoft Cognitive Services
Age | 50 |
Gender | Male |

Microsoft Cognitive Services
Age | 57 |
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 unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 56.4% | |
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events parties | 33.2% | |
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paintings art | 6.6% | |
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streetview architecture | 1.2% | |
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Captions
Microsoft
created on 2022-03-05
a group of people posing for a photo | 61.7% | |
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a person standing next to a horse | 61.6% | |
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a group of people posing for the camera | 61.5% | |
|
Text analysis
Amazon

POTATO

Self

Gillette

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Self Seru

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Gillette Place

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Dexici

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Self Seru
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