Machine Generated Data
Tags
Amazon
created on 2022-02-11
Person | 99.5 | |
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Human | 99.5 | |
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Person | 98.9 | |
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Person | 97.8 | |
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Furniture | 97.6 | |
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Table | 95.3 | |
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Lighting | 93.6 | |
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Restaurant | 92.6 | |
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Dining Table | 90.5 | |
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Chair | 84.8 | |
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Bar Counter | 79.8 | |
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Pub | 79.8 | |
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Wood | 78.7 | |
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Interior Design | 76.4 | |
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Indoors | 76.4 | |
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Room | 75 | |
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Plywood | 64.6 | |
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Food | 63.5 | |
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Cafe | 63.3 | |
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Meal | 62.5 | |
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Food Court | 59.6 | |
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Dining Room | 56.6 | |
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Undershirt | 56.5 | |
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Clothing | 56.5 | |
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Apparel | 56.5 | |
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Overcoat | 55.5 | |
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Coat | 55.5 | |
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Clarifai
created on 2023-10-29
Imagga
created on 2022-02-11
musical instrument | 30.4 | |
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person | 22.3 | |
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music | 20.9 | |
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people | 20.6 | |
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silhouette | 19.9 | |
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sax | 18.7 | |
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wind instrument | 16.9 | |
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black | 16.3 | |
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night | 16 | |
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man | 15.4 | |
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dark | 15 | |
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adult | 14 | |
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stringed instrument | 13.8 | |
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concert | 13.6 | |
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light | 13.5 | |
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performance | 13.4 | |
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performer | 13.1 | |
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stage | 13 | |
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musician | 12.8 | |
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guitar | 12.8 | |
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male | 12.1 | |
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body | 12 | |
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hot | 11.7 | |
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dancing | 11.6 | |
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dance | 11.5 | |
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club | 11.3 | |
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sexy | 11.2 | |
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attractive | 11.2 | |
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portrait | 11 | |
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device | 10.7 | |
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fashion | 10.6 | |
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percussion instrument | 10.5 | |
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disco | 10.5 | |
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rock | 10.4 | |
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passion | 10.3 | |
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party | 10.3 | |
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love | 10.3 | |
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entertainment | 10.1 | |
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model | 10.1 | |
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couple | 9.6 | |
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fire | 9.4 | |
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bowed stringed instrument | 9.3 | |
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art | 9.2 | |
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brass | 9.1 | |
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bass | 9.1 | |
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sensual | 9.1 | |
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sensuality | 9.1 | |
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sunset | 9 | |
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posing | 8.9 | |
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singer | 8.8 | |
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nightclub | 8.8 | |
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crowd | 8.6 | |
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motion | 8.6 | |
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dancer | 8.4 | |
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pretty | 8.4 | |
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one | 8.2 | |
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sitting | 7.7 | |
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outfit | 7.7 | |
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equipment | 7.7 | |
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musical | 7.7 | |
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erotic | 7.6 | |
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elegance | 7.6 | |
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human | 7.5 | |
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sound | 7.5 | |
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fun | 7.5 | |
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smoke | 7.4 | |
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style | 7.4 | |
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event | 7.4 | |
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makeup | 7.3 | |
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chair | 7.3 | |
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lady | 7.3 | |
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life | 7.3 | |
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group | 7.3 | |
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metal | 7.2 | |
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cornet | 7.2 | |
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religion | 7.2 | |
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shadow | 7.2 | |
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romance | 7.1 | |
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hair | 7.1 | |
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women | 7.1 | |
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Google
created on 2022-02-11
Table | 95.3 | |
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Desk | 89.2 | |
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Chair | 86.2 | |
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Automotive design | 84.3 | |
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Flash photography | 80.6 | |
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Event | 74 | |
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Space | 71.9 | |
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Musical instrument accessory | 70.7 | |
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Darkness | 68.8 | |
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Suit | 66.6 | |
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Audio equipment | 66.5 | |
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Conversation | 65.7 | |
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Job | 62.1 | |
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Room | 61.6 | |
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Entertainment | 60.1 | |
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Aerospace engineering | 58.6 | |
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Luxury vehicle | 58.5 | |
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Sitting | 58.2 | |
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Font | 55.8 | |
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Music | 55.3 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.9% |
Calm | 86.8% |
Angry | 6.9% |
Sad | 3.1% |
Surprised | 0.8% |
Confused | 0.8% |
Fear | 0.7% |
Happy | 0.5% |
Disgusted | 0.4% |

AWS Rekognition
Age | 40-48 |
Gender | Male, 99.9% |
Angry | 56.5% |
Calm | 31.1% |
Confused | 4.5% |
Sad | 2.9% |
Disgusted | 1.9% |
Happy | 1.2% |
Surprised | 1% |
Fear | 0.9% |

Microsoft Cognitive Services
Age | 42 |
Gender | Male |

Microsoft Cognitive Services
Age | 45 |
Gender | Male |

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 |
Feature analysis
Categories
Imagga
events parties | 82.5% | |
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text visuals | 7.4% | |
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interior objects | 2.7% | |
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food drinks | 2.6% | |
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nature landscape | 2.2% | |
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Captions
Microsoft
created on 2022-02-11
a group of people in a dark room | 92.3% | |
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a group of people sitting in a dark room | 88.5% | |
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a person sitting in a dark room | 87.1% | |
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Text analysis
Amazon

9

KODAK

KODAK EIRN

EIRN

MJI3 Y T 37 A°2 MAGOM

MJI3

Y

T

37

A°2

MAGOM