Machine Generated Data
Tags
Amazon
created on 2022-03-05
Person | 97.8 | |
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Human | 97.8 | |
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Furniture | 96.8 | |
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Person | 96.8 | |
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Couch | 95.8 | |
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Clothing | 93.2 | |
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Apparel | 93.2 | |
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Person | 91.1 | |
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Person | 88.9 | |
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Person | 82.9 | |
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Chair | 80.3 | |
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Person | 76.6 | |
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Baby | 74.8 | |
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Female | 73.3 | |
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Kid | 69.8 | |
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Child | 69.8 | |
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Face | 69.4 | |
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People | 65.6 | |
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Girl | 63.4 | |
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Suit | 63.4 | |
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Coat | 63.4 | |
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Overcoat | 63.4 | |
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Floor | 62.7 | |
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Person | 62.6 | |
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Dress | 61.8 | |
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Shorts | 59.5 | |
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Sitting | 59 | |
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Photography | 57.8 | |
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Photo | 57.8 | |
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Clarifai
created on 2023-10-22
people | 99.7 | |
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child | 99 | |
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group | 97.7 | |
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woman | 96.6 | |
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man | 96.3 | |
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monochrome | 96.2 | |
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adult | 95.8 | |
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boy | 94.4 | |
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group together | 92.6 | |
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family | 91 | |
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recreation | 88.3 | |
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indoors | 87.4 | |
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portrait | 86.1 | |
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sit | 83.8 | |
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son | 83.8 | |
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musician | 81.8 | |
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actor | 81.4 | |
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person | 80.9 | |
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facial expression | 80.6 | |
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adolescent | 80.5 | |
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Imagga
created on 2022-03-05
person | 32 | |
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world | 30.1 | |
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people | 27.3 | |
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man | 24.8 | |
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adult | 21.7 | |
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negative | 21.4 | |
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portrait | 20 | |
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male | 19.2 | |
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patient | 19.2 | |
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smiling | 18.8 | |
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film | 18.6 | |
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happy | 17.5 | |
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nurse | 17.1 | |
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fashion | 15.1 | |
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love | 15 | |
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child | 14.5 | |
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fun | 14.2 | |
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photographic paper | 13.6 | |
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women | 13.4 | |
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together | 13.1 | |
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senior | 13.1 | |
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couple | 13.1 | |
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sitting | 12.9 | |
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case | 12.8 | |
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casual | 12.7 | |
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hair | 12.7 | |
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blond | 12.5 | |
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face | 12.1 | |
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sick person | 11.8 | |
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dress | 11.7 | |
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smile | 11.4 | |
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sexy | 11.2 | |
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ball | 11 | |
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lifestyle | 10.8 | |
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cheerful | 10.6 | |
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pretty | 10.5 | |
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men | 10.3 | |
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hospital | 10.2 | |
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cute | 10 | |
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equipment | 10 | |
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human | 9.7 | |
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boy | 9.6 | |
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happiness | 9.4 | |
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youth | 9.4 | |
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two | 9.3 | |
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attractive | 9.1 | |
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exercise | 9.1 | |
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photographic equipment | 9.1 | |
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health | 9 | |
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outdoors | 9 | |
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medical | 8.8 | |
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kin | 8.8 | |
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old | 8.3 | |
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joy | 8.3 | |
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holding | 8.2 | |
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one | 8.2 | |
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playing | 8.2 | |
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lady | 8.1 | |
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art | 8 | |
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family | 8 | |
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looking | 8 | |
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kid | 8 | |
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clothing | 8 | |
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indoors | 7.9 | |
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black | 7.8 | |
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room | 7.8 | |
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married | 7.7 | |
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illness | 7.6 | |
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sport | 7.6 | |
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lying | 7.5 | |
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makeup | 7.3 | |
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life | 7.3 | |
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suit | 7.2 | |
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body | 7.2 | |
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holiday | 7.2 | |
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romantic | 7.1 | |
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soccer ball | 7.1 | |
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father | 7.1 | |
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interior | 7.1 | |
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Google
created on 2022-03-05
White | 92.2 | |
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Black | 89.9 | |
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Black-and-white | 85 | |
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Style | 84 | |
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Window | 83.6 | |
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Art | 79.9 | |
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Font | 77.3 | |
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Monochrome photography | 75.7 | |
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Monochrome | 75.7 | |
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Snapshot | 74.3 | |
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Glass | 68.6 | |
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Personal protective equipment | 67.1 | |
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Picture frame | 66.5 | |
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Visual arts | 66.2 | |
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Room | 65 | |
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Stock photography | 63.9 | |
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Sitting | 62.9 | |
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Eyewear | 62.8 | |
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Fun | 59.9 | |
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Recreation | 56.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 4-10 |
Gender | Female, 90.2% |
Angry | 32.6% |
Happy | 19.7% |
Fear | 13.4% |
Calm | 10.4% |
Sad | 9.3% |
Surprised | 7% |
Confused | 5.4% |
Disgusted | 2.1% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 92% |
Surprised | 83.3% |
Happy | 14.1% |
Calm | 0.8% |
Angry | 0.5% |
Sad | 0.4% |
Confused | 0.4% |
Disgusted | 0.3% |
Fear | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 71.7% |
Happy | 35% |
Fear | 24.5% |
Calm | 23.5% |
Surprised | 8.2% |
Sad | 3.8% |
Angry | 2.7% |
Disgusted | 1.4% |
Confused | 0.9% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 99.3% |
Happy | 59.6% |
Sad | 14.5% |
Calm | 10.6% |
Fear | 3.6% |
Surprised | 3.5% |
Angry | 3.3% |
Disgusted | 2.7% |
Confused | 2.2% |

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 | 84.8% | |
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streetview architecture | 8.9% | |
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people portraits | 4.9% | |
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Captions
Microsoft
created on 2022-03-05
a group of people sitting posing for the camera | 93.4% | |
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a group of people posing for a photo in front of a window | 89.1% | |
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a group of people posing for a photo | 89% | |
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Text analysis
Amazon

8d1-2