Machine Generated Data
Tags
Amazon
created on 2023-10-25
Architecture | 100 | |
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Building | 100 | |
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Dining Room | 100 | |
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Dining Table | 100 | |
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Furniture | 100 | |
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Indoors | 100 | |
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Room | 100 | |
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Table | 100 | |
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Food | 99.7 | |
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Meal | 99.7 | |
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Adult | 99.3 | |
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Male | 99.3 | |
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Man | 99.3 | |
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Person | 99.3 | |
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Adult | 99.2 | |
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Person | 99.2 | |
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Female | 99.2 | |
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Woman | 99.2 | |
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Cutlery | 98.9 | |
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Person | 98.7 | |
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Person | 96.7 | |
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Person | 96.5 | |
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Restaurant | 95.6 | |
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Plant | 93.2 | |
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Potted Plant | 93.2 | |
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Dish | 93.1 | |
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Face | 90 | |
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Head | 90 | |
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Diner | 89.5 | |
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Photography | 86.7 | |
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Clothing | 84.3 | |
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Formal Wear | 84.3 | |
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Suit | 84.3 | |
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Chandelier | 78.5 | |
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Lamp | 78.5 | |
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Dinner | 77.7 | |
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Glass | 76.6 | |
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Christmas | 61.6 | |
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Christmas Decorations | 61.6 | |
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Festival | 61.6 | |
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People | 61.3 | |
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Tabletop | 58 | |
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Lighting | 57.9 | |
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Fork | 57.5 | |
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Tablecloth | 57.3 | |
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Home Decor | 57.3 | |
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Linen | 57.3 | |
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Spoon | 56.8 | |
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Living Room | 56.7 | |
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Portrait | 56.5 | |
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Birthday Cake | 56.5 | |
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Cake | 56.5 | |
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Cream | 56.5 | |
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Dessert | 56.5 | |
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Candle | 56.1 | |
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Accessories | 56 | |
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Tie | 56 | |
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Flower | 55.9 | |
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Lunch | 55.7 | |
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Cafeteria | 55.6 | |
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Food Court | 55.4 | |
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Tree | 55.2 | |
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Clarifai
created on 2023-10-15
people | 99.9 | |
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group | 97.6 | |
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adult | 96.1 | |
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woman | 94.7 | |
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man | 94.1 | |
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furniture | 93.9 | |
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two | 93.3 | |
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group together | 93.1 | |
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home | 92.9 | |
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room | 90.9 | |
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child | 90.4 | |
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interaction | 90 | |
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three | 89.1 | |
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family | 88.7 | |
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monochrome | 88.1 | |
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offspring | 87.8 | |
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nostalgia | 85.4 | |
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administration | 85.2 | |
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street | 81.9 | |
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portrait | 81.4 | |
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Imagga
created on 2019-02-03
Google
created on 2019-02-03
Photograph | 96.7 | |
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Snapshot | 88 | |
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Photography | 70.6 | |
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Stock photography | 62.1 | |
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Black-and-white | 56.4 | |
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Microsoft
created on 2019-02-03
window | 99.7 | |
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black | 65.7 | |
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old | 52 | |
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posing | 35.5 | |
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black and white | 35.5 | |
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person | 19.9 | |
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monochrome | 6.8 | |
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street | 6.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.9% |
Happy | 89.3% |
Calm | 7.8% |
Surprised | 6.6% |
Fear | 6% |
Sad | 2.3% |
Angry | 0.6% |
Disgusted | 0.5% |
Confused | 0.4% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 79.9% |
Calm | 71.4% |
Happy | 24.2% |
Surprised | 6.6% |
Fear | 6.1% |
Sad | 2.6% |
Disgusted | 0.8% |
Confused | 0.6% |
Angry | 0.5% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 92.8% |
Happy | 42.8% |
Calm | 28.2% |
Sad | 27.2% |
Surprised | 7.3% |
Fear | 6.7% |
Angry | 2.4% |
Disgusted | 1.6% |
Confused | 1.1% |

AWS Rekognition
Age | 27-37 |
Gender | Female, 78.3% |
Calm | 65.9% |
Sad | 33.1% |
Surprised | 7.6% |
Fear | 6.6% |
Angry | 2.8% |
Disgusted | 2.4% |
Happy | 1.9% |
Confused | 0.8% |

Microsoft Cognitive Services
Age | 47 |
Gender | Male |
Feature analysis
Categories
Imagga
interior objects | 97.8% | |
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food drinks | 1.7% | |
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Captions
Microsoft
created on 2019-02-03
a man and a woman standing in front of a window | 68.3% | |
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a person standing in front of a window | 68.2% | |
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a person standing in front of a window | 68.1% | |
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