Machine Generated Data
Tags
Amazon
created on 2021-12-14
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.5 | |
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Person | 98.8 | |
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Person | 97.8 | |
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Helicopter | 95.3 | |
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Aircraft | 95.3 | |
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Vehicle | 95.3 | |
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Transportation | 95.3 | |
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Person | 88.9 | |
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Train | 77.8 | |
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People | 75.2 | |
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Military | 71.3 | |
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Military Uniform | 65 | |
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Nature | 64.9 | |
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Pedestrian | 60 | |
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Army | 59.8 | |
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Armored | 59.8 | |
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Soldier | 57.2 | |
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Street | 56.6 | |
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Building | 56.6 | |
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Urban | 56.6 | |
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Road | 56.6 | |
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City | 56.6 | |
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Town | 56.6 | |
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Clarifai
created on 2023-10-22
people | 99.7 | |
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vehicle | 99.3 | |
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transportation system | 99 | |
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watercraft | 98.4 | |
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aircraft | 97.1 | |
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monochrome | 97 | |
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boat | 96.4 | |
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ship | 95.8 | |
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group together | 95.3 | |
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group | 93.1 | |
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airplane | 92.4 | |
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adult | 91 | |
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street | 89.9 | |
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military | 89 | |
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black and white | 88.2 | |
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warship | 87.4 | |
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man | 86.8 | |
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navy | 85.6 | |
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vintage | 85.5 | |
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fog | 82.6 | |
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Imagga
created on 2021-12-14
industry | 32.4 | |
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conveyance | 26.3 | |
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transportation | 26 | |
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industrial | 25.4 | |
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tramway | 24.1 | |
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factory | 23.3 | |
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ship | 21.5 | |
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vehicle | 21.3 | |
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power | 21 | |
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transport | 19.2 | |
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wheeled vehicle | 18.8 | |
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steel | 18.7 | |
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technology | 17.8 | |
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vessel | 17.5 | |
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energy | 16.8 | |
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production | 15.6 | |
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building | 15.5 | |
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boat | 15.5 | |
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fuel | 15.4 | |
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car | 15.4 | |
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metal | 15.3 | |
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station | 15 | |
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pollution | 14.4 | |
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equipment | 14.1 | |
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sky | 13.4 | |
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work | 13.3 | |
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container | 13.2 | |
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oil | 13 | |
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passenger | 12.8 | |
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business | 12.8 | |
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water | 12.7 | |
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pipe | 12.6 | |
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gas | 12.5 | |
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architecture | 11.8 | |
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refinery | 11.8 | |
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structure | 11.8 | |
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train | 11.7 | |
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environment | 11.5 | |
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storage | 11.4 | |
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plant | 11.3 | |
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travel | 11.3 | |
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city | 10.8 | |
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cargo | 10.7 | |
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engineering | 10.5 | |
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old | 10.4 | |
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tank | 10.3 | |
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passenger car | 10.3 | |
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inside | 10.1 | |
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streetcar | 9.9 | |
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modern | 9.8 | |
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chemical | 9.6 | |
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harbor | 9.6 | |
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construction | 9.4 | |
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sea | 9.4 | |
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office | 9.2 | |
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machinery | 9 | |
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interior | 8.8 | |
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shop | 8.8 | |
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railway | 8.8 | |
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urban | 8.7 | |
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machine | 8.7 | |
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tube | 8.7 | |
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port | 8.7 | |
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high | 8.7 | |
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traffic | 8.5 | |
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shipping | 8.5 | |
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device | 8.3 | |
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tower | 8.1 | |
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pipes | 7.9 | |
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supply | 7.7 | |
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concrete | 7.7 | |
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heavy | 7.6 | |
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electric | 7.5 | |
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vacation | 7.4 | |
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process | 7.3 | |
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speed | 7.3 | |
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wagon | 7.3 | |
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global | 7.3 | |
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cockpit | 7.2 | |
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Google
created on 2021-12-14
Vehicle | 92.5 | |
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Sky | 90.7 | |
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Black | 89.5 | |
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Electricity | 85.5 | |
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Black-and-white | 85 | |
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Style | 84 | |
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Atmospheric phenomenon | 82.2 | |
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Tints and shades | 76.6 | |
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Military helicopter | 76.3 | |
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Monochrome | 75.1 | |
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Monochrome photography | 74.9 | |
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Snapshot | 74.3 | |
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Motor vehicle | 73.5 | |
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Automotive lighting | 72.8 | |
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City | 71.6 | |
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Darkness | 66.2 | |
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Overhead power line | 65.7 | |
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Road | 64.1 | |
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Street | 63.4 | |
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Haze | 62.1 | |
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Microsoft
created on 2021-12-14
outdoor | 95.3 | |
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black and white | 91.4 | |
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vehicle | 88.4 | |
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street | 87.8 | |
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land vehicle | 77.7 | |
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transport | 68.8 | |
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firefighter | 61.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 39-57 |
Gender | Male, 91.5% |
Calm | 42.3% |
Angry | 26% |
Sad | 9.4% |
Confused | 7.3% |
Happy | 7% |
Fear | 3.4% |
Surprised | 2.4% |
Disgusted | 2.2% |

AWS Rekognition
Age | 13-25 |
Gender | Female, 76.4% |
Calm | 93.6% |
Sad | 1.8% |
Happy | 1.6% |
Angry | 1.2% |
Confused | 0.6% |
Surprised | 0.5% |
Disgusted | 0.4% |
Fear | 0.3% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |
Feature analysis
Categories
Imagga
streetview architecture | 99.8% | |
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Captions
Microsoft
created on 2021-12-14
a group of people standing around a bus | 74.3% | |
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a group of people standing next to a bus | 74.2% | |
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a group of people standing in front of a bus | 74.1% | |
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Text analysis

3EDE
BEXT

3EDE

BEXT