Machine Generated Data
Tags
Amazon
created on 2023-10-07
Water | 100 | |
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Waterfront | 100 | |
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Adult | 97.5 | |
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Female | 97.5 | |
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Person | 97.5 | |
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Woman | 97.5 | |
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Adult | 97.3 | |
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Person | 97.3 | |
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Male | 97.3 | |
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Man | 97.3 | |
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Port | 96.2 | |
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Aircraft | 84.2 | |
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Airplane | 84.2 | |
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Transportation | 84.2 | |
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Vehicle | 84.2 | |
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Face | 81.6 | |
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Head | 81.6 | |
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Person | 70 | |
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Amusement Park | 65.9 | |
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Pier | 65.3 | |
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Machine | 64.2 | |
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Wheel | 64.2 | |
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Boat | 60.6 | |
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Boardwalk | 57.9 | |
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Bridge | 57.9 | |
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Outdoors | 57.5 | |
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Yacht | 57.3 | |
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Fun | 57.2 | |
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Theme Park | 57.2 | |
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Architecture | 57 | |
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Building | 57 | |
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Deck | 57 | |
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House | 57 | |
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Housing | 57 | |
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Porch | 57 | |
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City | 56.3 | |
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Ferry | 56.3 | |
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Watercraft | 56.2 | |
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Harbor | 56.1 | |
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Barge | 55.7 | |
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Clarifai
created on 2018-05-11
people | 99.7 | |
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vehicle | 98.1 | |
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transportation system | 96.8 | |
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adult | 96.5 | |
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group together | 95.9 | |
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monochrome | 94.8 | |
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watercraft | 93.6 | |
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group | 93 | |
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no person | 91 | |
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man | 89.1 | |
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street | 87.6 | |
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many | 86.1 | |
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woman | 86 | |
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two | 85.1 | |
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one | 81.3 | |
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wear | 75.8 | |
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furniture | 75.8 | |
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water | 73.1 | |
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several | 73 | |
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home | 72 | |
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Imagga
created on 2023-10-07
tramway | 84.8 | |
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conveyance | 75.2 | |
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vehicle | 38.9 | |
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transportation | 36.8 | |
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streetcar | 31.8 | |
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transport | 28.3 | |
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wheeled vehicle | 22.8 | |
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passenger | 22 | |
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industry | 21.3 | |
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train | 20.5 | |
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street | 20.2 | |
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road | 19.9 | |
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station | 19.3 | |
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car | 18.1 | |
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travel | 17.6 | |
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urban | 17.5 | |
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city | 17.5 | |
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building | 16.6 | |
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industrial | 16.3 | |
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metal | 15.3 | |
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steel | 15 | |
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rail | 13.7 | |
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public | 13.6 | |
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railroad | 12.8 | |
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railway | 12.7 | |
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power | 12.6 | |
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traffic | 12.3 | |
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drive | 12.3 | |
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machine | 11.9 | |
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engine | 10.6 | |
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auto | 10.5 | |
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construction | 10.3 | |
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danger | 10 | |
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modern | 9.8 | |
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business | 9.7 | |
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technology | 9.6 | |
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factory | 9.6 | |
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bus | 9.5 | |
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truck | 9.2 | |
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structure | 9 | |
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transit | 8.9 | |
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container | 8.7 | |
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track | 8.7 | |
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automobile | 8.6 | |
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architecture | 8.6 | |
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electric | 8.4 | |
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boat | 8.4 | |
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ship | 8.4 | |
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old | 8.4 | |
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sky | 8.3 | |
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cable | 8 | |
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work | 7.8 | |
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day | 7.8 | |
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people | 7.8 | |
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energy | 7.6 | |
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wheel | 7.5 | |
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fast | 7.5 | |
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locomotive | 7.5 | |
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speed | 7.3 | |
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Google
created on 2018-05-11
transport | 92.8 | |
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car | 90.7 | |
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black and white | 89.8 | |
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vehicle | 77.9 | |
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monochrome photography | 74 | |
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motor vehicle | 72.7 | |
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monochrome | 61.7 | |
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recreation | 61.1 | |
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Microsoft
created on 2018-05-11
outdoor | 95.9 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 41-49 |
Gender | Female, 100% |
Happy | 97.1% |
Surprised | 6.5% |
Fear | 6.2% |
Sad | 2.2% |
Angry | 0.8% |
Disgusted | 0.3% |
Confused | 0.3% |
Calm | 0.2% |

AWS Rekognition
Age | 41-49 |
Gender | Male, 97% |
Happy | 97.5% |
Surprised | 6.4% |
Fear | 6% |
Sad | 2.4% |
Confused | 0.4% |
Angry | 0.3% |
Disgusted | 0.3% |
Calm | 0.2% |

Microsoft Cognitive Services
Age | 46 |
Gender | Female |

Microsoft Cognitive Services
Age | 28 |
Gender | Male |
Feature analysis
Categories
Imagga
cars vehicles | 99.7% | |
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Captions
Microsoft
created on 2018-05-11
a group of people on a boat | 67.4% | |
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a group of people riding on the back of a boat | 50.1% | |
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a group of people in a boat | 50% | |
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Text analysis
Amazon

KIT

I'A