Machine Generated Data
Tags
Amazon
created on 2022-06-25
Assembly Line | 99.6 | |
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Factory | 99.6 | |
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Building | 99.6 | |
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Person | 99.6 | |
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Human | 99.6 | |
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Person | 99.4 | |
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Person | 98.3 | |
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Machine | 95.5 | |
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Person | 93 | |
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Tie | 92 | |
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Accessories | 92 | |
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Accessory | 92 | |
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Person | 78.6 | |
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Manufacturing | 57.6 | |
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Workshop | 56.5 | |
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Clarifai
created on 2025-01-10
people | 100 | |
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group | 98.5 | |
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group together | 98.5 | |
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many | 98.4 | |
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adult | 97.6 | |
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man | 93.8 | |
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monochrome | 93.3 | |
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sepia pigment | 90.3 | |
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several | 88.7 | |
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war | 88.4 | |
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furniture | 87.5 | |
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room | 85 | |
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employee | 84.9 | |
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sewing machine | 84.9 | |
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woman | 83.9 | |
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wear | 82.7 | |
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vehicle | 79.1 | |
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transportation system | 76.6 | |
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street | 74.4 | |
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two | 73.6 | |
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Imagga
created on 2022-06-25
iron lung | 73.9 | |
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respirator | 59.1 | |
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breathing device | 44.4 | |
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device | 36.2 | |
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brass | 25.4 | |
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room | 24.3 | |
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table | 23.3 | |
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chair | 21.7 | |
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factory | 21.2 | |
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interior | 21.2 | |
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wind instrument | 20.2 | |
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industry | 19.6 | |
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restaurant | 17.7 | |
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industrial | 17.2 | |
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musical instrument | 15.5 | |
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indoors | 14.9 | |
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machine | 14.4 | |
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glass | 14.2 | |
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steel | 14.1 | |
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trombone | 14 | |
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modern | 14 | |
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man | 13.4 | |
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power | 13.4 | |
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metal | 12.9 | |
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plant | 12.7 | |
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dining | 12.4 | |
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people | 11.7 | |
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work | 11.1 | |
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inside | 11 | |
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dinner | 10.9 | |
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drink | 10.8 | |
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tables | 10.8 | |
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manufacturing | 10.7 | |
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old | 10.4 | |
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furniture | 10.4 | |
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home | 10.4 | |
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floor | 10.2 | |
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equipment | 10.1 | |
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decor | 9.7 | |
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heavy | 9.5 | |
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engineering | 9.5 | |
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vintage | 9.4 | |
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building | 9.2 | |
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food | 9.1 | |
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life | 9 | |
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technology | 8.9 | |
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medical | 8.8 | |
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technical | 8.7 | |
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comfortable | 8.6 | |
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design | 8.4 | |
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wine | 8.4 | |
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coffee | 8.3 | |
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person | 8.2 | |
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seat | 8.1 | |
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science | 8 | |
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cafeteria | 7.9 | |
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business | 7.9 | |
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urban | 7.9 | |
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chairs | 7.8 | |
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male | 7.8 | |
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machinery | 7.8 | |
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mechanical | 7.8 | |
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empty | 7.7 | |
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pollution | 7.7 | |
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bottle | 7.5 | |
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window | 7.3 | |
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reflection | 7.3 | |
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transportation | 7.2 | |
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nurse | 7.1 | |
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working | 7.1 | |
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medicine | 7 | |
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architecture | 7 | |
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hospital | 7 | |
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Google
created on 2022-06-25
Motor vehicle | 86.2 | |
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Mass production | 80 | |
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Industry | 78.2 | |
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Factory | 78.2 | |
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Engineering | 76.8 | |
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Machine | 74.7 | |
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Metal | 71.1 | |
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Toolroom | 66.2 | |
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Room | 62.9 | |
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Vintage clothing | 61.2 | |
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Monochrome | 58.7 | |
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History | 57.3 | |
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Classic | 55.6 | |
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Auto part | 54.6 | |
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Blue-collar worker | 53.7 | |
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Monochrome photography | 53.2 | |
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Transport | 52.2 | |
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Steel | 52.1 | |
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Crew | 51 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 24-34 |
Gender | Female, 90.8% |
Sad | 97.9% |
Calm | 43.6% |
Surprised | 6.5% |
Fear | 6% |
Angry | 1.1% |
Confused | 0.4% |
Disgusted | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 74.9% |
Calm | 72.1% |
Sad | 15.8% |
Confused | 11.2% |
Surprised | 6.4% |
Fear | 5.9% |
Angry | 0.6% |
Happy | 0.4% |
Disgusted | 0.3% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 99.7% |
Sad | 93.9% |
Calm | 46.8% |
Fear | 6.6% |
Surprised | 6.4% |
Confused | 2% |
Angry | 2% |
Happy | 0.8% |
Disgusted | 0.5% |

Microsoft Cognitive Services
Age | 29 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 33.6% | |
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streetview architecture | 29.6% | |
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events parties | 14.4% | |
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people portraits | 12.5% | |
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paintings art | 7.5% | |
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Captions
Microsoft
created on 2022-06-25
a group of people standing in a kitchen | 72.8% | |
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a group of people in a kitchen | 72.7% | |
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a group of people standing in a room | 72.6% | |
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Text analysis
Amazon

OU