Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.4 | |
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Person | 99 | |
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Person | 89.9 | |
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Helicopter | 87.1 | |
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Transportation | 87.1 | |
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Vehicle | 87.1 | |
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Aircraft | 87.1 | |
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Person | 86.9 | |
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Person | 79.2 | |
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Clothing | 77.7 | |
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Apparel | 77.7 | |
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Building | 77.1 | |
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Waterfront | 74.7 | |
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Water | 74.7 | |
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Machine | 74.2 | |
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Shorts | 74.1 | |
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Harbor | 69.7 | |
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Pier | 69.7 | |
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Dock | 69.7 | |
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Port | 69.7 | |
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Airplane | 66.3 | |
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Military | 60.7 | |
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Cruiser | 57.3 | |
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Ship | 57.3 | |
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Navy | 57.3 | |
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Biplane | 56.3 | |
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Sailor Suit | 55.8 | |
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Clarifai
created on 2023-10-25
people | 99.8 | |
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vehicle | 98.6 | |
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group together | 98.4 | |
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group | 97.7 | |
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transportation system | 96.8 | |
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many | 95.8 | |
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adult | 95.5 | |
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military | 94.9 | |
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administration | 94.4 | |
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man | 94 | |
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woman | 92.4 | |
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wear | 91.7 | |
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war | 91.2 | |
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several | 91 | |
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aircraft | 90.7 | |
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watercraft | 89.7 | |
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monochrome | 89.6 | |
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airplane | 83.2 | |
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three | 81.2 | |
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leader | 77.8 | |
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Imagga
created on 2022-01-09
cockpit | 39.1 | |
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man | 24.2 | |
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war | 21.8 | |
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male | 21.3 | |
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equipment | 20.3 | |
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vehicle | 19.6 | |
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military | 19.3 | |
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uniform | 16.6 | |
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stage | 16.6 | |
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industrial | 16.3 | |
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engine | 15.4 | |
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work | 14.9 | |
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weapon | 14.6 | |
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television camera | 14.3 | |
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person | 14.3 | |
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power | 14.3 | |
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metal | 13.7 | |
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industry | 13.6 | |
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mechanical | 13.6 | |
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factory | 13.5 | |
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transportation | 13.4 | |
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machine | 13.3 | |
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engineer | 13.3 | |
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steel | 13.2 | |
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battle | 12.7 | |
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army | 12.7 | |
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technology | 12.6 | |
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protection | 11.8 | |
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gun | 11.8 | |
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soldier | 11.7 | |
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people | 11.7 | |
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car | 11.6 | |
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business | 11.5 | |
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television equipment | 11.5 | |
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device | 11.5 | |
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engineering | 11.4 | |
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platform | 11.3 | |
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aviator | 11.3 | |
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adult | 11 | |
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danger | 10.9 | |
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tank | 10.7 | |
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automobile | 10.5 | |
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transport | 10 | |
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camouflage | 9.8 | |
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outdoors | 9.7 | |
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men | 9.4 | |
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professional | 9.3 | |
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training | 9.2 | |
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occupation | 9.2 | |
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worker | 8.9 | |
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warfare | 8.9 | |
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electronic equipment | 8.8 | |
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mechanic | 8.8 | |
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military vehicle | 8.6 | |
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construction | 8.5 | |
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wheel | 8.5 | |
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leisure | 8.3 | |
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playing | 8.2 | |
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job | 8 | |
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manufacturing | 7.8 | |
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conflict | 7.8 | |
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color | 7.8 | |
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clothing | 7.8 | |
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emergency | 7.7 | |
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mask | 7.7 | |
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ship | 7.6 | |
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safety | 7.4 | |
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building | 7.2 | |
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recreation | 7.2 | |
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history | 7.1 | |
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game | 7.1 | |
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to | 7.1 | |
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working | 7.1 | |
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sky | 7 | |
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Google
created on 2022-01-09
Motor vehicle | 90 | |
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Vehicle | 89.9 | |
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Black | 89.7 | |
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Black-and-white | 86 | |
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Style | 83.9 | |
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Naval architecture | 83 | |
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Monochrome photography | 75.1 | |
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Monochrome | 74.6 | |
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Crew | 68.2 | |
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Boat | 66.8 | |
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Watercraft | 65.8 | |
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Room | 64.7 | |
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Stock photography | 62.4 | |
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Illustration | 61.7 | |
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Vintage clothing | 61.1 | |
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Photographic paper | 60.3 | |
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History | 59.8 | |
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Font | 59.1 | |
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Tent | 58.9 | |
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Ship | 58.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 49-57 |
Gender | Male, 52.9% |
Calm | 96.9% |
Surprised | 1.5% |
Confused | 0.4% |
Sad | 0.3% |
Angry | 0.3% |
Disgusted | 0.2% |
Happy | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 24-34 |
Gender | Female, 63% |
Happy | 81% |
Sad | 8.7% |
Calm | 2.8% |
Surprised | 2.1% |
Fear | 2.1% |
Confused | 1.6% |
Angry | 0.9% |
Disgusted | 0.7% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
streetview architecture | 87.2% | |
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beaches seaside | 9.9% | |
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Captions
Microsoft
created on 2022-01-09
a group of people on a boat | 39.8% | |
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a group of people standing on a boat | 36.9% | |
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a group of people in a boat | 36.8% | |
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Text analysis
Amazon

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