Machine Generated Data
Tags
Amazon
created on 2022-01-08
Person | 98.8 | |
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Human | 98.8 | |
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Person | 96.4 | |
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Clothing | 90.4 | |
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Apparel | 90.4 | |
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Dance Pose | 85.9 | |
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Leisure Activities | 85.9 | |
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Face | 78.3 | |
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Head | 71.3 | |
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Dance | 68.1 | |
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Art | 66.1 | |
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Photography | 61.8 | |
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Photo | 61.8 | |
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Worker | 56 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
mask | 46.4 | |
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man | 30.2 | |
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person | 28 | |
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male | 26.2 | |
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negative | 25.3 | |
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people | 23.4 | |
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black | 22.8 | |
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portrait | 22 | |
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covering | 21.3 | |
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disguise | 20.3 | |
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film | 20 | |
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adult | 18.2 | |
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face | 17.8 | |
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bartender | 16.9 | |
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clothing | 15.6 | |
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photographic paper | 15.5 | |
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studio | 14.4 | |
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danger | 12.7 | |
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neck brace | 12.4 | |
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attire | 11.9 | |
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smile | 11.4 | |
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happy | 11.3 | |
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hat | 10.9 | |
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brace | 10.9 | |
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protection | 10.9 | |
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hand | 10.6 | |
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fashion | 10.6 | |
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human | 10.5 | |
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business | 10.3 | |
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photographic equipment | 10.3 | |
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men | 10.3 | |
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model | 10.1 | |
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support | 10 | |
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attractive | 9.8 | |
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criminal | 9.8 | |
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crime | 9.7 | |
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women | 9.5 | |
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eyes | 9.5 | |
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professional | 9.4 | |
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art | 9.3 | |
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dress | 9 | |
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fun | 9 | |
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lady | 8.9 | |
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happiness | 8.6 | |
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holiday | 8.6 | |
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life | 8.6 | |
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dark | 8.4 | |
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color | 8.3 | |
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costume | 8.3 | |
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performer | 8.3 | |
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security | 8.3 | |
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protective covering | 8.2 | |
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make | 8.2 | |
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suit | 8.1 | |
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sexy | 8 | |
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looking | 8 | |
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robber | 7.9 | |
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theft | 7.9 | |
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love | 7.9 | |
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thief | 7.9 | |
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urban | 7.9 | |
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world | 7.8 | |
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strengthener | 7.5 | |
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one | 7.5 | |
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technology | 7.4 | |
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emotion | 7.4 | |
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safety | 7.4 | |
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makeup | 7.3 | |
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group | 7.3 | |
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computer | 7.2 | |
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posing | 7.1 | |
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businessman | 7.1 | |
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Google
created on 2022-01-08
Black | 89.5 | |
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Picture frame | 88.9 | |
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Sleeve | 86.6 | |
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Black-and-white | 86.1 | |
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Gesture | 85.3 | |
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Style | 84 | |
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Smile | 81.2 | |
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Font | 81.2 | |
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Hat | 80.6 | |
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Art | 80.5 | |
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Plant | 78.8 | |
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Monochrome photography | 76.7 | |
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Monochrome | 75.6 | |
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Snapshot | 74.3 | |
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Happy | 74.2 | |
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Room | 71.8 | |
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Event | 68.9 | |
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Vintage clothing | 68.9 | |
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Photo caption | 66.1 | |
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Visual arts | 64.2 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 37-45 |
Gender | Female, 60.2% |
Sad | 59.3% |
Happy | 23% |
Calm | 8.2% |
Confused | 3.4% |
Angry | 2.2% |
Disgusted | 1.8% |
Surprised | 1.3% |
Fear | 0.7% |

AWS Rekognition
Age | 49-57 |
Gender | Female, 74.6% |
Happy | 84.2% |
Confused | 8.2% |
Sad | 2.5% |
Surprised | 2.4% |
Calm | 1.2% |
Disgusted | 0.6% |
Fear | 0.6% |
Angry | 0.3% |

AWS Rekognition
Age | 51-59 |
Gender | Male, 98.4% |
Calm | 81.4% |
Sad | 9.8% |
Confused | 2.2% |
Surprised | 2.1% |
Happy | 1.7% |
Angry | 1.6% |
Disgusted | 0.8% |
Fear | 0.3% |
Feature analysis
Categories
Imagga
interior objects | 46.9% | |
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people portraits | 19.6% | |
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paintings art | 12.1% | |
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events parties | 7.9% | |
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streetview architecture | 7% | |
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text visuals | 4.3% | |
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pets animals | 1.2% | |
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Captions
Microsoft
created on 2022-01-08
Text analysis
Amazon

19193.

17193.

1193.

1193.