Machine Generated Data
Tags
Amazon
created on 2023-10-25
Lighting | 99.1 | |
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Adult | 99.1 | |
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Bride | 99.1 | |
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Female | 99.1 | |
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Person | 99.1 | |
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Wedding | 99.1 | |
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Woman | 99.1 | |
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Person | 98.7 | |
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Person | 95.4 | |
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Person | 94.7 | |
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Urban | 93.8 | |
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Face | 93.4 | |
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Head | 93.4 | |
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Person | 91.5 | |
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Concert | 90.8 | |
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Crowd | 90.8 | |
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Person | 77.5 | |
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Person | 73.7 | |
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Adult | 68.5 | |
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Person | 68.5 | |
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Male | 68.5 | |
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Man | 68.5 | |
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Outdoors | 65.8 | |
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Computer Hardware | 63.9 | |
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Electronics | 63.9 | |
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Hardware | 63.9 | |
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Monitor | 63.9 | |
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Screen | 63.9 | |
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Smoke | 62.5 | |
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Performer | 57.8 | |
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Guitar | 57.7 | |
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Musical Instrument | 57.7 | |
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Cinema | 57.6 | |
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Terminal | 57.1 | |
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Club | 56.4 | |
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Electrical Device | 56.2 | |
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Microphone | 56.2 | |
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Leisure Activities | 55.9 | |
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Music | 55.9 | |
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Musician | 55.9 | |
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Guitarist | 55.5 | |
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Railway | 55.5 | |
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Train | 55.5 | |
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Train Station | 55.5 | |
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Transportation | 55.5 | |
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Vehicle | 55.5 | |
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Stage | 55.3 | |
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Group Performance | 55.2 | |
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Music Band | 55.2 | |
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Clarifai
created on 2023-10-15
Imagga
created on 2019-02-01
bartender | 27.3 | |
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waiter | 22.4 | |
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person | 20.7 | |
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people | 20.6 | |
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man | 18.1 | |
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dining-room attendant | 18 | |
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light | 17.2 | |
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black | 16.8 | |
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dark | 16.7 | |
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hall | 16.4 | |
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night | 16 | |
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silhouette | 15.7 | |
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male | 14.2 | |
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employee | 14 | |
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stage | 12.9 | |
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old | 12.5 | |
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television | 12.5 | |
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spectator | 12.3 | |
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adult | 12 | |
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body | 11.2 | |
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portrait | 10.3 | |
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party | 10.3 | |
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water | 10 | |
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music | 9.9 | |
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worker | 9.9 | |
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world | 9.8 | |
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film | 9.6 | |
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men | 9.4 | |
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happy | 9.4 | |
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concert | 8.7 | |
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couple | 8.7 | |
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room | 8.4 | |
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house | 8.4 | |
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event | 8.3 | |
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telecommunication system | 8.3 | |
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human | 8.2 | |
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love | 7.9 | |
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nightlife | 7.8 | |
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scene | 7.8 | |
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culture | 7.7 | |
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negative | 7.6 | |
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club | 7.5 | |
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one | 7.5 | |
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disco | 7.4 | |
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lights | 7.4 | |
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building | 7.4 | |
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entertainment | 7.4 | |
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teenager | 7.3 | |
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group | 7.2 | |
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dirty | 7.2 | |
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women | 7.1 | |
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performer | 7 | |
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architecture | 7 | |
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Google
created on 2019-02-01
Photograph | 97.3 | |
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White | 96.8 | |
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Black | 94.8 | |
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Monochrome photography | 90.1 | |
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Black-and-white | 89.5 | |
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Snapshot | 84.5 | |
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Photography | 79.4 | |
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Monochrome | 79.4 | |
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Font | 68.6 | |
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Darkness | 63.4 | |
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Art | 58.1 | |
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Style | 55 | |
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Square | 50.6 | |
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Microsoft
created on 2019-02-01
television | 32.4 | |
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image | 32.4 | |
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show | 26.4 | |
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window | 25.4 | |
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music | 13.9 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Female, 98% |
Calm | 77.5% |
Sad | 25.2% |
Surprised | 6.5% |
Fear | 5.9% |
Confused | 1.6% |
Angry | 0.7% |
Disgusted | 0.2% |
Happy | 0.2% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.8% |
Calm | 94.1% |
Surprised | 6.4% |
Fear | 6% |
Confused | 3.7% |
Sad | 2.3% |
Happy | 0.6% |
Angry | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 92.5% |
Sad | 99.7% |
Happy | 11.2% |
Calm | 8.8% |
Angry | 8.1% |
Surprised | 6.4% |
Fear | 6.1% |
Confused | 2% |
Disgusted | 0.5% |
Feature analysis
Categories
Imagga
interior objects | 41.4% | |
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food drinks | 31% | |
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paintings art | 24.4% | |
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text visuals | 1.2% | |
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Captions
Microsoft
created on 2019-02-01
a group of people standing in front of a television | 54.3% | |
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a group of people standing in front of a television screen | 49.6% | |
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a group of people in front of a television | 48.7% | |
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Text analysis
Amazon

NEW

YORK

11 NEW YORK

11