Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
| money | 30.6 | |
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| currency | 28.7 | |
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| cash | 26.5 | |
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| dollar | 23.2 | |
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| finance | 21.9 | |
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| bill | 21.8 | |
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| paper | 20.5 | |
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| banking | 19.3 | |
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| bank | 18.9 | |
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| wealth | 17.9 | |
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| business | 17 | |
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| financial | 16.9 | |
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| old | 15.3 | |
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| vintage | 15 | |
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| one | 14.9 | |
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| art | 14.8 | |
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| close | 13.7 | |
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| dollars | 13.5 | |
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| hat | 12.7 | |
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| savings | 12.1 | |
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| rich | 12.1 | |
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| economy | 12 | |
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| grunge | 11.9 | |
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| hundred | 11.6 | |
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| us | 11.6 | |
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| retro | 11.5 | |
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| portrait | 11 | |
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| closeup | 10.8 | |
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| banknote | 10.7 | |
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| sombrero | 10.4 | |
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| black | 10.2 | |
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| symbol | 10.1 | |
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| success | 9.6 | |
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| style | 9.6 | |
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| pay | 9.6 | |
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| exchange | 9.5 | |
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| man | 9.4 | |
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| moon | 9.2 | |
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| note | 9.2 | |
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| investment | 9.2 | |
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| payment | 8.6 | |
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| museum | 8.5 | |
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| representation | 8.4 | |
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| mug shot | 8.2 | |
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| person | 8.2 | |
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| aged | 8.1 | |
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| dirty | 8.1 | |
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| headdress | 8.1 | |
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| device | 8 | |
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| face | 7.8 | |
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| people | 7.8 | |
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| finances | 7.7 | |
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| profit | 7.6 | |
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| texture | 7.6 | |
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| damaged | 7.6 | |
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| coin | 7.6 | |
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| design | 7.6 | |
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| sign | 7.5 | |
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| dark | 7.5 | |
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| photograph | 7.5 | |
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| card | 7.3 | |
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| book | 7.2 | |
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| envelope | 7.2 | |
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| male | 7.1 | |
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| stamp | 7.1 | |
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| antique | 7 | |
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| textured | 7 | |
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Google
created on 2022-01-08
| Forehead | 98.5 | |
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| Chin | 96.6 | |
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| Hairstyle | 95.1 | |
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| Eyebrow | 94.2 | |
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| Jaw | 87.7 | |
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| Oval | 85.8 | |
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| Sleeve | 84.3 | |
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| Collar | 83.1 | |
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| Handwriting | 79.2 | |
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| Tints and shades | 77.2 | |
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| Vintage clothing | 76.4 | |
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| Blazer | 76.1 | |
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| Art | 75.1 | |
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| Facial hair | 73.6 | |
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| Suit | 73.1 | |
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| Beard | 72.2 | |
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| Formal wear | 67.9 | |
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| Moustache | 66.2 | |
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| Font | 65.4 | |
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| History | 64.2 | |
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Microsoft
created on 2022-01-08
| text | 98.9 | |
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| human face | 97.7 | |
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| person | 96.9 | |
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| man | 95.9 | |
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| clothing | 91.2 | |
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| handwriting | 74.2 | |
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| portrait | 68 | |
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| old | 64.7 | |
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| photograph | 53.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 20-28 |
| Gender | Male, 100% |
| Calm | 86.2% |
| Confused | 6.9% |
| Sad | 3.2% |
| Angry | 1.1% |
| Fear | 1.1% |
| Disgusted | 0.6% |
| Surprised | 0.5% |
| Happy | 0.5% |
Microsoft Cognitive Services
| Age | 31 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 48.2% | |
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| food drinks | 47.9% | |
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| interior objects | 1.8% | |
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| people portraits | 1.6% | |
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Captions
Microsoft
created on 2022-01-08
| a close up of a person | 63.7% | |
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| close up of a person | 56.8% | |
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| a photo of a person | 50.4% | |
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Text analysis
Amazon
Fette
Cambridge
W.E. Fette
W.E.
1839.
1839. Lt Louis.
Louis.
Lt
7.6.Gette
Combuige
7.6.Gette
Combuige