Machine Generated Data
Tags
Amazon
created on 2023-10-06
Adult | 99.5 | |
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Male | 99.5 | |
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Man | 99.5 | |
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Person | 99.5 | |
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Worker | 95.5 | |
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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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Clothing | 94.8 | |
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Person | 93.3 | |
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Architecture | 91.8 | |
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Building | 91.8 | |
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Factory | 91.8 | |
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Person | 91.7 | |
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Outdoors | 91.1 | |
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Water | 86.3 | |
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Waterfront | 86.3 | |
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Person | 85.7 | |
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Person | 84.7 | |
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Transportation | 84.5 | |
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Vehicle | 84.5 | |
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Yacht | 84.5 | |
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Person | 84.4 | |
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Aircraft | 82.7 | |
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Airplane | 82.7 | |
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Person | 75.4 | |
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Face | 71 | |
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Head | 71 | |
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Person | 69.4 | |
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Manufacturing | 69.1 | |
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Coil | 67.7 | |
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Machine | 67.7 | |
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Rotor | 67.7 | |
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Spiral | 67.7 | |
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Person | 58.7 | |
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Assembly Line | 56.7 | |
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Person | 56.7 | |
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Watercraft | 56.4 | |
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Baseball Cap | 56.1 | |
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Cap | 56.1 | |
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Helicopter | 56.1 | |
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Person | 56 | |
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Shorts | 55.9 | |
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Hat | 55.8 | |
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Hardhat | 55.7 | |
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Helmet | 55.7 | |
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Biplane | 55.7 | |
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Pants | 55.6 | |
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Airport | 55.4 | |
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Spoke | 55.1 | |
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Nature | 55.1 | |
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Play Area | 55.1 | |
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Clarifai
created on 2018-05-11
people | 99.8 | |
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group together | 99.5 | |
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vehicle | 98.5 | |
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group | 97.8 | |
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adult | 97.2 | |
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many | 95.6 | |
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transportation system | 94.6 | |
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man | 93.8 | |
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several | 89.5 | |
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two | 88.5 | |
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three | 87.6 | |
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aircraft | 86.6 | |
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administration | 83.3 | |
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one | 82.1 | |
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war | 81.7 | |
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monochrome | 79.5 | |
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four | 78.9 | |
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watercraft | 78 | |
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railway | 77.6 | |
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leader | 76.4 | |
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Imagga
created on 2023-10-06
bobsled | 69 | |
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vehicle | 64.8 | |
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sled | 55.1 | |
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conveyance | 27.9 | |
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transportation | 26.9 | |
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train | 24.4 | |
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percussion instrument | 21.7 | |
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industry | 21.3 | |
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industrial | 20.9 | |
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work | 20.4 | |
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torpedo | 17.8 | |
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track | 17.4 | |
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old | 17.4 | |
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transport | 17.3 | |
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railroad | 16.7 | |
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musical instrument | 16.3 | |
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railway | 15.7 | |
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machine | 15.6 | |
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steel drum | 15.5 | |
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man | 15.4 | |
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steel | 15.2 | |
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device | 14.6 | |
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power | 14.3 | |
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city | 14.1 | |
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metal | 13.7 | |
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engine | 13.5 | |
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drum | 13.3 | |
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locomotive | 12.9 | |
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male | 12.8 | |
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rail | 12.7 | |
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station | 12.6 | |
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factory | 12.4 | |
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explosive device | 12.2 | |
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travel | 12 | |
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steamroller | 11.9 | |
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cargo | 11.6 | |
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vintage | 11.6 | |
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construction | 11.1 | |
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equipment | 10.9 | |
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container | 10.4 | |
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building | 10.4 | |
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car | 10.1 | |
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people | 10 | |
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boiler | 9.8 | |
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worker | 9.8 | |
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urban | 8.7 | |
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steam | 8.7 | |
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vessel | 8.5 | |
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business | 8.5 | |
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wheel | 8.5 | |
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iron | 8.4 | |
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person | 8.3 | |
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technology | 8.2 | |
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tank | 8 | |
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job | 8 | |
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black | 7.8 | |
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machinery | 7.8 | |
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retro | 7.4 | |
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wagon | 7.2 | |
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Google
created on 2018-05-11
black and white | 88.3 | |
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transport | 83.2 | |
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monochrome photography | 70.3 | |
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vehicle | 69.6 | |
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monochrome | 68.7 | |
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car | 55.4 | |
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recreation | 50.6 | |
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Microsoft
created on 2018-05-11
outdoor | 92 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 19-27 |
Gender | Female, 95.2% |
Sad | 99.8% |
Calm | 19.4% |
Surprised | 8% |
Fear | 6% |
Confused | 3.2% |
Disgusted | 1% |
Angry | 0.7% |
Happy | 0.6% |

AWS Rekognition
Age | 59-67 |
Gender | Male, 91.7% |
Happy | 97.9% |
Surprised | 6.6% |
Fear | 5.9% |
Sad | 2.2% |
Calm | 1.2% |
Angry | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |

Microsoft Cognitive Services
Age | 36 |
Gender | Male |
Feature analysis
Categories
Imagga
people portraits | 41.3% | |
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streetview architecture | 31% | |
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paintings art | 14.3% | |
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cars vehicles | 7.3% | |
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nature landscape | 2% | |
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pets animals | 1.5% | |
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Captions
Microsoft
created on 2018-05-11
a person standing in front of a building | 79.3% | |
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a person standing next to a building | 75.2% | |
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a black and white photo of a person | 71.3% | |
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Text analysis
Amazon

ARCAD

PENNY ARCAD

PENNY

3