Machine Generated Data
Tags
Amazon
created on 2022-07-01
Clothing | 99.9 | |
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Apparel | 99.9 | |
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Person | 99.3 | |
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Human | 99.3 | |
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Tablecloth | 99.2 | |
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Hat | 98.2 | |
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Hat | 97.7 | |
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Person | 96 | |
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Tie | 95.2 | |
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Accessories | 95.2 | |
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Accessory | 95.2 | |
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Person | 94.7 | |
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Table | 84.8 | |
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Furniture | 84.8 | |
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Sun Hat | 84.1 | |
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Dining Table | 80.9 | |
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Sleeve | 58.3 | |
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Home Decor | 55.6 | |
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Imagga
created on 2022-07-01
Google
created on 2022-07-01
Tableware | 90.9 | |
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Hat | 90.5 | |
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Black | 89.7 | |
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Table | 84.9 | |
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Black-and-white | 82.9 | |
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Cooking | 72.3 | |
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Sitting | 71.5 | |
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Plate | 71.4 | |
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Tablecloth | 71.3 | |
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Sun hat | 70.6 | |
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Event | 68.8 | |
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Chair | 66.9 | |
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Monochrome photography | 66.8 | |
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Monochrome | 65.2 | |
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Serveware | 64.4 | |
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Job | 57.8 | |
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Room | 56.6 | |
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Cap | 56.1 | |
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Linens | 55.4 | |
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Vintage clothing | 54.2 | |
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Microsoft
created on 2022-07-01
person | 97.5 | |
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clothing | 96 | |
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black and white | 89.2 | |
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hat | 88.1 | |
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man | 83.8 | |
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fashion accessory | 81.2 | |
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text | 68.6 | |
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fedora | 65 | |
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table | 63.5 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 39-47 |
Gender | Male, 96.2% |
Disgusted | 26.4% |
Happy | 25.9% |
Calm | 18.8% |
Sad | 11% |
Surprised | 10.7% |
Fear | 7.4% |
Confused | 4.4% |
Angry | 1.9% |
Feature analysis
Text analysis
NORTY