Machine Generated Data
Tags
Amazon
created on 2022-01-30
Person | 99.6 | |
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Human | 99.6 | |
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Person | 98.8 | |
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Clothing | 97 | |
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Apparel | 97 | |
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Person | 96.9 | |
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Crowd | 94.7 | |
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Audience | 94.4 | |
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Interior Design | 94.1 | |
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Indoors | 94.1 | |
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Person | 91.2 | |
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Person | 83.9 | |
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Gown | 80 | |
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Fashion | 80 | |
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Chair | 79.9 | |
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Furniture | 79.9 | |
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Robe | 79.5 | |
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Person | 78.2 | |
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Person | 76.8 | |
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Stage | 76.6 | |
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Wedding | 76.1 | |
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Person | 74.8 | |
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People | 73.3 | |
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Face | 71 | |
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Female | 68.7 | |
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Wedding Gown | 67.9 | |
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Meal | 67.7 | |
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Food | 67.7 | |
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Person | 65.2 | |
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Person | 63.1 | |
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Photography | 60.5 | |
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Photo | 60.5 | |
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Bridegroom | 58 | |
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Suit | 58 | |
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Coat | 58 | |
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Overcoat | 58 | |
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Screen | 57.4 | |
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Electronics | 57.4 | |
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Leisure Activities | 56.4 | |
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Woman | 56.3 | |
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Back | 55.6 | |
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Bride | 55.5 | |
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Clarifai
created on 2023-10-29
Imagga
created on 2022-01-30
astronaut | 46.3 | |
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negative | 21 | |
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iron lung | 18 | |
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film | 17.8 | |
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respirator | 15.4 | |
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religion | 15.2 | |
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sculpture | 13.4 | |
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photographic paper | 13 | |
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people | 12.3 | |
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statue | 11.6 | |
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man | 11.5 | |
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travel | 11.3 | |
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breathing device | 11.2 | |
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device | 11.1 | |
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black | 10.8 | |
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medical | 10.6 | |
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male | 9.9 | |
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old | 9.7 | |
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person | 9.5 | |
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architecture | 9.5 | |
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religious | 9.4 | |
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hand | 9.1 | |
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transportation | 9 | |
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celebration | 8.8 | |
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photographic equipment | 8.7 | |
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table | 8.7 | |
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scene | 8.6 | |
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shop | 8.5 | |
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tourism | 8.2 | |
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technology | 8.2 | |
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room | 8.1 | |
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love | 7.9 | |
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art | 7.8 | |
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machine | 7.8 | |
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adult | 7.8 | |
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men | 7.7 | |
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equipment | 7.7 | |
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sky | 7.6 | |
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god | 7.6 | |
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health | 7.6 | |
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house | 7.5 | |
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doctor | 7.5 | |
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wedding | 7.4 | |
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island | 7.3 | |
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mask | 7.2 | |
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hospital | 7 | |
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modern | 7 | |
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Google
created on 2022-01-30
Black | 89.8 | |
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Hat | 89.6 | |
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Black-and-white | 82.7 | |
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Snapshot | 74.3 | |
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Monochrome photography | 73.5 | |
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Event | 73 | |
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Motor vehicle | 71.6 | |
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Monochrome | 71.3 | |
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Room | 67.9 | |
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Stock photography | 65.6 | |
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Crowd | 63 | |
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Art | 62 | |
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Illustration | 59.9 | |
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Vintage clothing | 59.3 | |
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Photographic paper | 57.6 | |
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Photo caption | 57.1 | |
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Font | 57 | |
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History | 56.3 | |
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Still life photography | 52.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 56-64 |
Gender | Male, 81.2% |
Calm | 99.1% |
Disgusted | 0.4% |
Surprised | 0.3% |
Sad | 0.1% |
Confused | 0% |
Fear | 0% |
Angry | 0% |
Happy | 0% |

AWS Rekognition
Age | 12-20 |
Gender | Male, 99.9% |
Calm | 69% |
Angry | 22.3% |
Sad | 5.3% |
Fear | 1.1% |
Disgusted | 0.8% |
Happy | 0.5% |
Confused | 0.5% |
Surprised | 0.5% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 65.3% |
Happy | 87.2% |
Calm | 6.4% |
Sad | 3.5% |
Angry | 0.9% |
Surprised | 0.6% |
Fear | 0.6% |
Disgusted | 0.5% |
Confused | 0.3% |

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 | Likely |
Feature analysis
Categories
Imagga
streetview architecture | 77.5% | |
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text visuals | 10.5% | |
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paintings art | 7.7% | |
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interior objects | 1.4% | |
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beaches seaside | 1.3% | |
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Captions
Microsoft
created on 2022-01-30
a group of people in a room | 86.4% | |
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a group of people standing in a room | 80.2% | |
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a group of people around each other | 65.2% | |
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Text analysis
Amazon

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