Machine Generated Data
Tags
Amazon
created on 2023-10-06
Adult | 98.9 | |
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Male | 98.9 | |
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Man | 98.9 | |
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Person | 98.9 | |
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War | 98.8 | |
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Male | 98.1 | |
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Person | 98.1 | |
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Boy | 98.1 | |
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Child | 98.1 | |
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Adult | 98 | |
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Male | 98 | |
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Man | 98 | |
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Person | 98 | |
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Person | 97.2 | |
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Clothing | 95.4 | |
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Glove | 95.4 | |
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Adult | 95.1 | |
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Male | 95.1 | |
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Man | 95.1 | |
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Person | 95.1 | |
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Weapon | 94.6 | |
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Artillery | 85.5 | |
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Face | 85.1 | |
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Head | 85.1 | |
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Hat | 71 | |
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Hat | 68 | |
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Machine | 59.3 | |
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Wheel | 59.3 | |
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Hat | 57.9 | |
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Worker | 57.8 | |
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Helmet | 56.4 | |
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Cannon | 55.2 | |
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Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
cannon | 74.6 | |
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gun | 61 | |
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artillery | 60 | |
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weapon | 52.2 | |
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field artillery | 46.3 | |
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armament | 44.3 | |
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weaponry | 28.5 | |
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war | 25.4 | |
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military | 23.2 | |
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sky | 20.4 | |
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army | 19.5 | |
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male | 19.1 | |
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man | 18.1 | |
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history | 17.9 | |
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high-angle gun | 17.9 | |
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soldier | 17.6 | |
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equipment | 17.3 | |
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industry | 17.1 | |
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tank | 16.6 | |
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battle | 15.6 | |
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danger | 15.4 | |
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old | 15.3 | |
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device | 15.3 | |
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machine | 14.9 | |
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camouflage | 12.7 | |
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industrial | 12.7 | |
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building | 12.7 | |
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construction | 12 | |
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uniform | 11.9 | |
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statue | 11.7 | |
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steel | 11.5 | |
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bazooka | 11.2 | |
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vehicle | 10.9 | |
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city | 10.8 | |
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power | 10.1 | |
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people | 10 | |
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protection | 10 | |
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launcher | 9.9 | |
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defense | 9.7 | |
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historical | 9.4 | |
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historic | 9.2 | |
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crane | 9.1 | |
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instrument | 9.1 | |
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adult | 9 | |
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horn | 9 | |
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track | 8.6 | |
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mask | 8.6 | |
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arms | 8.6 | |
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architecture | 8.6 | |
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monument | 8.4 | |
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smoke | 8.4 | |
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tourism | 8.2 | |
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transportation | 8.1 | |
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metal | 8 | |
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rifle | 7.9 | |
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business | 7.9 | |
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armor | 7.9 | |
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forces | 7.9 | |
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barrel | 7.8 | |
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person | 7.8 | |
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clothing | 7.7 | |
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travel | 7.7 | |
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fight | 7.7 | |
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heavy | 7.6 | |
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world | 7.6 | |
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landmark | 7.2 | |
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grass | 7.1 | |
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target | 7 | |
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Google
created on 2018-05-10
black and white | 84.6 | |
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militia | 74.7 | |
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vehicle | 70.7 | |
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crew | 63.5 | |
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troop | 61.5 | |
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monochrome photography | 60.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 14-22 |
Gender | Female, 50.6% |
Disgusted | 72.3% |
Sad | 15.1% |
Surprised | 6.6% |
Fear | 6.1% |
Confused | 5.5% |
Angry | 4.7% |
Calm | 1.2% |
Happy | 0.2% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 57.3% |
Sad | 81.9% |
Calm | 32.1% |
Disgusted | 11.6% |
Surprised | 10.8% |
Confused | 6.5% |
Fear | 6.1% |
Angry | 2.7% |
Happy | 2.4% |

Microsoft Cognitive Services
Age | 50 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 80.4% | |
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nature landscape | 16.1% | |
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cars vehicles | 1.2% | |
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streetview architecture | 1.1% | |
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Captions
Microsoft
created on 2018-05-10
a vintage photo of a man | 90.1% | |
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a vintage photo of a man riding on the back of a motorcycle | 47.5% | |
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a vintage photo of a man riding a motorcycle | 47.4% | |
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Text analysis
Amazon

BY

A.M.

sole BY

A.M. JUR

sole

JUR