Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
people | 99.9 | |
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adult | 98.6 | |
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man | 97.2 | |
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two | 96.2 | |
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vehicle | 96 | |
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watercraft | 95.3 | |
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group | 94.9 | |
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group together | 94.9 | |
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one | 94.5 | |
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woman | 94 | |
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wear | 93.1 | |
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transportation system | 89.6 | |
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administration | 89.2 | |
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three | 89 | |
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military | 86.9 | |
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four | 85.5 | |
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actor | 84.2 | |
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furniture | 81.7 | |
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commerce | 80 | |
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industry | 79.3 | |
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Imagga
created on 2022-01-15
loom | 100 | |
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textile machine | 88.3 | |
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machine | 67.7 | |
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device | 49.5 | |
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building | 19 | |
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man | 17.5 | |
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city | 15 | |
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travel | 14.8 | |
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water | 14.7 | |
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sky | 14.7 | |
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people | 13.9 | |
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work | 13.4 | |
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architecture | 13.3 | |
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ship | 13 | |
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boat | 13 | |
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construction | 12.8 | |
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modern | 12.6 | |
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power | 12.6 | |
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business | 12.1 | |
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equipment | 11.8 | |
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adult | 11.7 | |
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worker | 11.6 | |
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light | 11.4 | |
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urban | 11.4 | |
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industry | 11.1 | |
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industrial | 10.9 | |
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lifestyle | 10.8 | |
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metal | 10.5 | |
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high | 10.4 | |
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male | 9.9 | |
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steel | 9.8 | |
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old | 9.7 | |
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person | 9.7 | |
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technology | 9.6 | |
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vessel | 9.5 | |
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bridge | 9.5 | |
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sea | 9.4 | |
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active | 9.2 | |
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sport | 9.2 | |
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craft | 9.1 | |
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sailboat | 8.8 | |
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manufacturing | 8.8 | |
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looking | 8.8 | |
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skyscraper | 8.6 | |
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black | 8.4 | |
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street | 8.3 | |
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rigging | 8.2 | |
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transportation | 8.1 | |
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structure | 8.1 | |
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tower | 8 | |
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scene | 7.8 | |
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labor | 7.8 | |
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boats | 7.8 | |
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portrait | 7.8 | |
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full length | 7.7 | |
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pirate | 7.7 | |
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tall | 7.5 | |
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fun | 7.5 | |
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stage | 7.4 | |
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holding | 7.4 | |
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rope | 7.4 | |
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reflection | 7.3 | |
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night | 7.1 | |
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job | 7.1 | |
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Google
created on 2022-01-15
Black | 89.6 | |
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Black-and-white | 83.3 | |
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Line | 82.1 | |
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Motor vehicle | 80.5 | |
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Monochrome | 75.3 | |
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Snapshot | 74.3 | |
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Monochrome photography | 74.1 | |
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Blue-collar worker | 71 | |
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Art | 69.9 | |
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Tradesman | 69.5 | |
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Metal | 68.6 | |
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Personal protective equipment | 68.6 | |
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Machine | 67.5 | |
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Stock photography | 63.3 | |
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Building | 63.3 | |
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Steel | 62.5 | |
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Room | 61.6 | |
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Cooking | 59.7 | |
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Illustration | 57.7 | |
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Wood | 57.4 | |
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Microsoft
created on 2022-01-15
text | 88.8 | |
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black and white | 75.4 | |
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person | 67.3 | |
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clothing | 65.9 | |
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ship | 62.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 29-39 |
Gender | Male, 72.9% |
Calm | 100% |
Sad | 0% |
Angry | 0% |
Confused | 0% |
Happy | 0% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |
Feature analysis
Text analysis
Amazon
EVELLA