Machine Generated Data
Tags
Amazon
created on 2019-08-09
Clarifai
created on 2019-08-09
people | 99 | |
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adult | 98.3 | |
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monochrome | 98.3 | |
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man | 97 | |
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woman | 96.2 | |
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one | 92.3 | |
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portrait | 91.9 | |
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medicine | 91 | |
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black and white | 88.2 | |
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hospital | 87.2 | |
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mask | 85.3 | |
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patient | 84.2 | |
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wear | 84.1 | |
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surgery | 83 | |
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medical practitioner | 81.9 | |
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healthcare | 81.5 | |
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two | 80.7 | |
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doctor | 80.6 | |
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health | 80.1 | |
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indoors | 79.6 | |
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Imagga
created on 2019-08-09
syringe | 30.2 | |
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man | 28.2 | |
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person | 27.6 | |
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male | 22.8 | |
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medical instrument | 22.7 | |
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portrait | 22 | |
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people | 21.2 | |
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instrument | 19.9 | |
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surgeon | 19.8 | |
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face | 18.5 | |
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hand | 18.2 | |
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device | 16.4 | |
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hat | 15.6 | |
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model | 14.8 | |
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adult | 14.2 | |
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men | 13.7 | |
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human | 13.5 | |
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hair | 13.5 | |
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black | 13.2 | |
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smile | 12.8 | |
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mask | 12.7 | |
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negative | 12.4 | |
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worker | 11.7 | |
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head | 10.9 | |
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lifestyle | 10.8 | |
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senior | 10.3 | |
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expression | 10.2 | |
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work | 10.2 | |
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happy | 10 | |
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film | 9.8 | |
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fun | 9.7 | |
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bride | 9.6 | |
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love | 9.5 | |
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eyes | 9.5 | |
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clothing | 9.3 | |
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professional | 9.3 | |
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wedding | 9.2 | |
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attractive | 9.1 | |
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health | 9 | |
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medical | 8.8 | |
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skin | 8.7 | |
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smoke | 8.4 | |
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guy | 8.4 | |
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girls | 8.2 | |
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technology | 8.2 | |
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sexy | 8 | |
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smiling | 8 | |
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covering | 7.8 | |
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laboratory | 7.7 | |
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groom | 7.7 | |
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old | 7.7 | |
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photographic paper | 7.6 | |
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holding | 7.4 | |
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glasses | 7.4 | |
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heat | 7.4 | |
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safety | 7.4 | |
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occupation | 7.3 | |
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industrial | 7.3 | |
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looking | 7.2 | |
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body | 7.2 | |
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wet | 7.2 | |
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pretty | 7 | |
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Google
created on 2019-08-09
Photograph | 96.6 | |
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White | 95.9 | |
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Black-and-white | 86.3 | |
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Snapshot | 83.6 | |
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Monochrome photography | 76.2 | |
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Photography | 72.5 | |
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Stock photography | 67.6 | |
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Monochrome | 67.6 | |
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Hand | 66 | |
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Jaw | 63 | |
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Gesture | 58.5 | |
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Style | 53.5 | |
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Ear | 51.2 | |
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Microsoft
created on 2019-08-09
person | 99.6 | |
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black and white | 92.2 | |
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text | 81.9 | |
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clothing | 70.9 | |
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human face | 62.3 | |
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crowd | 0.5 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 46-64 |
Gender | Female, 71.9% |
Confused | 0.8% |
Calm | 92.6% |
Fear | 0.2% |
Happy | 0.2% |
Angry | 0.2% |
Disgusted | 0.1% |
Surprised | 3% |
Sad | 2.9% |

AWS Rekognition
Age | 18-30 |
Gender | Male, 69.3% |
Angry | 0.4% |
Happy | 2.4% |
Surprised | 0.5% |
Disgusted | 0.8% |
Calm | 0.7% |
Fear | 1.4% |
Confused | 18.7% |
Sad | 75.2% |
Feature analysis
Categories
Imagga
paintings art | 69.8% | |
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interior objects | 11.4% | |
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food drinks | 8.8% | |
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people portraits | 5.3% | |
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pets animals | 2.2% | |
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events parties | 1.5% | |
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