Machine Generated Data
Tags
Clarifai
created on 2023-10-30
Imagga
created on 2022-07-08
negative | 69.3 | |
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film | 57.9 | |
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photographic paper | 43.3 | |
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window screen | 32.5 | |
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money | 32.3 | |
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cash | 31.1 | |
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currency | 29.6 | |
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photographic equipment | 28.9 | |
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dollar | 28.8 | |
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screen | 26 | |
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financial | 22.3 | |
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close | 22.3 | |
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finance | 22 | |
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bill | 21.9 | |
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protective covering | 21.9 | |
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sketch | 21.4 | |
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banking | 21.1 | |
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paper | 20.4 | |
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face | 19.9 | |
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bank | 19.7 | |
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portrait | 19.4 | |
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dollars | 19.3 | |
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business | 18.8 | |
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wealth | 18 | |
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drawing | 17.2 | |
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one | 17.2 | |
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covering | 17.1 | |
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us | 16.4 | |
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art | 15.6 | |
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savings | 14.9 | |
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old | 14.6 | |
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banknote | 14.6 | |
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representation | 13.8 | |
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hundred | 13.6 | |
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statue | 12.8 | |
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black | 12.6 | |
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pay | 12.5 | |
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closeup | 12.1 | |
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rich | 12.1 | |
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note | 11.9 | |
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finances | 11.6 | |
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head | 10.9 | |
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franklin | 10.8 | |
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man | 10.8 | |
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vintage | 10.8 | |
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banknotes | 9.8 | |
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human | 9.7 | |
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bills | 9.7 | |
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grunge | 9.4 | |
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stone | 9.3 | |
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economy | 9.3 | |
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president | 8.8 | |
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antique | 8.7 | |
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loan | 8.6 | |
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exchange | 8.6 | |
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culture | 8.5 | |
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capital | 8.5 | |
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male | 8.5 | |
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sculpture | 8.5 | |
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commerce | 8.4 | |
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famous | 8.4 | |
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concepts | 8 | |
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twenty | 7.9 | |
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ancient | 7.8 | |
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economic | 7.7 | |
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payment | 7.7 | |
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god | 7.7 | |
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texture | 7.6 | |
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book jacket | 7.4 | |
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symbol | 7.4 | |
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people | 7.3 | |
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religion | 7.2 | |
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eye | 7.1 | |
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Google
created on 2022-07-08
Nose | 98.4 | |
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Cheek | 97.9 | |
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Jaw | 88.2 | |
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Neck | 87.5 | |
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Sleeve | 87.2 | |
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Iris | 84.4 | |
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Art | 82.4 | |
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Facial hair | 77 | |
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Self-portrait | 75.6 | |
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Painting | 71.4 | |
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Monochrome photography | 71.4 | |
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Monochrome | 70.2 | |
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Pattern | 70 | |
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Visual arts | 68 | |
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Drawing | 64.5 | |
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Rectangle | 63.4 | |
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History | 63.1 | |
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Vintage clothing | 62.8 | |
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Stock photography | 62.7 | |
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Chest | 62.5 | |
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Microsoft
created on 2022-07-08
text | 98.7 | |
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cat | 96.2 | |
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human face | 95.4 | |
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person | 93.8 | |
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art | 90.8 | |
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sketch | 67.2 | |
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black and white | 66.9 | |
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portrait | 52.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-31 |
Gender | Female, 99.9% |
Sad | 100% |
Calm | 16.1% |
Surprised | 6.3% |
Fear | 6.1% |
Disgusted | 0.4% |
Confused | 0.3% |
Angry | 0.2% |
Happy | 0.1% |
Microsoft Cognitive Services
Age | 30 |
Gender | Female |
Feature analysis
Amazon
Person | 83.7% | |
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Text analysis
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