Machine Generated Data
Tags
Amazon
created on 2022-02-11
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-11
musical instrument | 20.1 | |
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people | 19.5 | |
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man | 18.8 | |
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person | 18.5 | |
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silhouette | 16.5 | |
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music | 16.4 | |
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dark | 15.9 | |
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device | 14.6 | |
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night | 14.2 | |
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male | 13.5 | |
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percussion instrument | 13.3 | |
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stretcher | 13.2 | |
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chair | 12.7 | |
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light | 12.6 | |
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sexy | 12 | |
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body | 12 | |
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passion | 11.3 | |
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hot | 10.9 | |
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adult | 10.7 | |
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litter | 10.5 | |
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attractive | 10.5 | |
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stage | 10.4 | |
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black | 10.2 | |
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model | 10.1 | |
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sensual | 10 | |
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conveyance | 9.6 | |
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water | 9.3 | |
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life | 9 | |
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crowd | 8.6 | |
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performance | 8.6 | |
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party | 8.6 | |
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microphone | 8.6 | |
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men | 8.6 | |
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equipment | 8.5 | |
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club | 8.5 | |
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entertainment | 8.3 | |
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window | 8.2 | |
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disco | 8.2 | |
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sunset | 8.1 | |
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group | 8.1 | |
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interior | 8 | |
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electronic instrument | 7.9 | |
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room | 7.9 | |
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work | 7.8 | |
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performer | 7.8 | |
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concert | 7.8 | |
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portrait | 7.8 | |
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dancing | 7.7 | |
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pretty | 7.7 | |
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sky | 7.7 | |
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dance | 7.6 | |
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fashion | 7.5 | |
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human | 7.5 | |
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fire | 7.5 | |
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one | 7.5 | |
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lights | 7.4 | |
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suit | 7.4 | |
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inside | 7.4 | |
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occupation | 7.3 | |
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building | 7.3 | |
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business | 7.3 | |
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protection | 7.3 | |
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sensuality | 7.3 | |
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metal | 7.2 | |
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shadow | 7.2 | |
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hair | 7.1 | |
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posing | 7.1 | |
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love | 7.1 | |
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Google
created on 2022-02-11
Table | 90.5 | |
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Chair | 87.8 | |
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Desk | 79.2 | |
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Automotive design | 76.4 | |
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Rectangle | 73.5 | |
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Event | 71.9 | |
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Darkness | 68.1 | |
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Suit | 65.2 | |
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Font | 64.2 | |
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Room | 62.8 | |
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Conversation | 62.4 | |
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Visual arts | 60.9 | |
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Entertainment | 59.1 | |
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Recreation | 58 | |
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Musical instrument accessory | 58 | |
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Machine | 56.4 | |
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Indoor games and sports | 54.5 | |
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Sitting | 54.4 | |
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Musician | 53.5 | |
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Luxury vehicle | 53.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 37-45 |
Gender | Male, 97% |
Calm | 98.5% |
Angry | 0.9% |
Sad | 0.3% |
Surprised | 0.1% |
Happy | 0.1% |
Confused | 0.1% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.8% |
Angry | 51% |
Calm | 31.8% |
Confused | 6.8% |
Sad | 3.8% |
Disgusted | 2.5% |
Happy | 1.5% |
Surprised | 1.4% |
Fear | 1.3% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 82.4% |
Sad | 89.7% |
Fear | 4.1% |
Calm | 3.4% |
Happy | 0.9% |
Disgusted | 0.7% |
Angry | 0.5% |
Surprised | 0.3% |
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 | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 94% | |
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text visuals | 2.5% | |
|
Captions
Microsoft
created on 2022-02-11
a group of people in a dark room | 95.4% | |
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a group of people sitting in a dark room | 92.5% | |
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a group of people sitting in chairs in a dark room | 91.9% | |
|
Text analysis
Amazon

4

C

MIID

M VT3 2

M

VT3

2