Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-27
people | 99.9 | |
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many | 99.5 | |
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group | 99.2 | |
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group together | 98.1 | |
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street | 96.6 | |
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crowd | 96.5 | |
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woman | 96.4 | |
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man | 95.2 | |
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monochrome | 94.8 | |
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adult | 94.4 | |
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commerce | 92.8 | |
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recreation | 88.4 | |
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wear | 85.8 | |
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child | 85 | |
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administration | 80.3 | |
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war | 79.8 | |
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furniture | 78.3 | |
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audience | 78.3 | |
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market | 77.5 | |
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spectator | 77.4 | |
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Imagga
created on 2022-01-22
man | 22.2 | |
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person | 20.6 | |
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people | 20.1 | |
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black | 18.7 | |
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dark | 15.9 | |
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silhouette | 15.7 | |
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male | 15.6 | |
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night | 15.1 | |
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men | 14.6 | |
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sax | 13.2 | |
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sexy | 12.8 | |
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wind instrument | 12.8 | |
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adult | 12.7 | |
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world | 12.1 | |
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light | 12 | |
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women | 11.9 | |
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business | 10.9 | |
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music | 10.9 | |
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equipment | 10.8 | |
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bass | 10.7 | |
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stage | 10.7 | |
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crowd | 10.6 | |
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portrait | 10.3 | |
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smoke | 10.2 | |
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spectator | 10.2 | |
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symbol | 10.1 | |
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musical instrument | 10.1 | |
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brass | 10.1 | |
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team | 9.8 | |
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fashion | 9.8 | |
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group | 9.7 | |
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style | 9.6 | |
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art | 9.5 | |
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club | 9.4 | |
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work | 9.4 | |
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power | 9.2 | |
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dance | 9.2 | |
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city | 9.1 | |
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photographer | 9.1 | |
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concert | 8.7 | |
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party | 8.6 | |
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youth | 8.5 | |
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lights | 8.3 | |
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danger | 8.2 | |
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industrial | 8.2 | |
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interior | 8 | |
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lifestyle | 7.9 | |
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indoors | 7.9 | |
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design | 7.9 | |
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couple | 7.8 | |
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nightlife | 7.8 | |
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model | 7.8 | |
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play | 7.7 | |
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motion | 7.7 | |
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old | 7.7 | |
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hot | 7.5 | |
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sign | 7.5 | |
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one | 7.5 | |
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disco | 7.5 | |
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job | 7.1 | |
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businessman | 7.1 | |
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Google
created on 2022-01-22
Black-and-white | 86.2 | |
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Style | 84 | |
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Adaptation | 79.3 | |
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Monochrome | 76.9 | |
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Monochrome photography | 76 | |
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Art | 75.1 | |
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Font | 72.4 | |
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Event | 70.2 | |
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Room | 69.4 | |
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Vintage clothing | 69 | |
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History | 66.2 | |
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Stock photography | 62 | |
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Machine | 61.4 | |
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Visual arts | 60.6 | |
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Photographic paper | 60.3 | |
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Street | 52.7 | |
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Crowd | 52.1 | |
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Suit | 50.5 | |
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Motor vehicle | 50.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-40 |
Gender | Male, 71.3% |
Calm | 99.2% |
Sad | 0.5% |
Happy | 0.1% |
Confused | 0.1% |
Fear | 0% |
Angry | 0% |
Disgusted | 0% |
Surprised | 0% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 80.8% |
Sad | 47.3% |
Calm | 37.2% |
Confused | 6.3% |
Disgusted | 3.2% |
Fear | 1.8% |
Angry | 1.5% |
Happy | 1.5% |
Surprised | 1.2% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 63.5% |
Calm | 75.8% |
Happy | 9.6% |
Angry | 4.1% |
Surprised | 3% |
Sad | 2.8% |
Disgusted | 2.1% |
Confused | 1.4% |
Fear | 1.2% |

AWS Rekognition
Age | 31-41 |
Gender | Male, 99% |
Calm | 91.5% |
Sad | 4.6% |
Happy | 1.5% |
Angry | 0.8% |
Surprised | 0.6% |
Disgusted | 0.6% |
Confused | 0.2% |
Fear | 0.2% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 52.6% | |
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streetview architecture | 15.8% | |
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paintings art | 7.9% | |
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people portraits | 5.7% | |
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beaches seaside | 5% | |
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events parties | 3% | |
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interior objects | 2.9% | |
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text visuals | 2% | |
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nature landscape | 2% | |
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pets animals | 1.7% | |
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food drinks | 1.2% | |
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Captions
Microsoft
created by unknown on 2022-01-22
a group of people standing in front of a crowd | 82.3% | |
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a group of people standing in front of a store | 79.9% | |
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a group of people standing in front of a crowd of people | 79.8% | |
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Text analysis
Amazon

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