Machine Generated Data
Tags
Amazon
created on 2022-02-18
Clarifai
created on 2023-10-28
Imagga
created on 2022-02-18
| wooden spoon | 100 | |
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| spoon | 100 | |
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| tableware | 85.8 | |
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| kitchen | 37.6 | |
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| fork | 34.5 | |
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| utensil | 34 | |
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| metal | 31.4 | |
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| food | 30.2 | |
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| dinner | 26.9 | |
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| equipment | 26.1 | |
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| knife | 25.9 | |
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| lunch | 25.7 | |
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| silver | 25.6 | |
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| steel | 24.7 | |
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| set | 23.7 | |
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| cooking | 23.6 | |
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| restaurant | 23.3 | |
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| tool | 22.7 | |
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| silverware | 22.6 | |
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| object | 22 | |
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| eating | 21.9 | |
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| table | 21.6 | |
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| setting | 20.2 | |
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| breakfast | 19.5 | |
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| stainless | 19.4 | |
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| cook | 19.2 | |
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| kitchenware | 18.9 | |
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| flatware | 18.7 | |
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| meal | 18.7 | |
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| eat | 17.6 | |
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| domestic | 17.2 | |
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| dining | 17.1 | |
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| wooden | 16.7 | |
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| wood | 16.7 | |
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| diner | 16.6 | |
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| sharp | 16.2 | |
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| utensils | 15.7 | |
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| serving | 15.5 | |
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| close | 14.3 | |
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| shiny | 14.2 | |
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| cutlery | 13.7 | |
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| arranging | 11.8 | |
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| dish | 11.8 | |
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| healthy | 10.7 | |
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| group | 10.5 | |
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| taste | 10.2 | |
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| shadow | 9.9 | |
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| hungry | 9.6 | |
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| closeup | 9.4 | |
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| nobody | 9.3 | |
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| cut | 9 | |
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| ladle | 8.8 | |
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| objects | 8.7 | |
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| menu | 8.6 | |
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| plate | 8.5 | |
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| commercial | 8.5 | |
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| seed | 8.4 | |
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| spatula | 8 | |
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| ingredient | 7.9 | |
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| luxury | 7.7 | |
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| organic | 7.6 | |
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| iron | 7.5 | |
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| instrument | 7.4 | |
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| service | 7.4 | |
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| metallic | 7.4 | |
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| brown | 7.4 | |
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Google
created on 2022-02-18
| Tableware | 96.3 | |
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| Kitchen utensil | 93.5 | |
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| Cutlery | 87.8 | |
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| Spoon | 76.3 | |
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| Natural material | 75.7 | |
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| Event | 55.5 | |
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| Wood | 52.7 | |
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| Titanium | 50.1 | |
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Microsoft
created on 2022-02-18
| wall | 99.6 | |
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| tableware | 97.7 | |
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| kitchen utensil | 95.7 | |
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| fork | 95 | |
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| spoon | 94.4 | |
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| brown | 87.2 | |
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| silverware | 86.9 | |
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| artisan | 83.5 | |
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| wine glass | 82 | |
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| glass | 80.9 | |
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| different | 71.9 | |
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| copper | 71.3 | |
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| ornament | 67 | |
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| various | 51 | |
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| several | 11.6 | |
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Color Analysis
Feature analysis
Categories
Imagga
| paintings art | 98.3% | |
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| interior objects | 1.2% | |
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Captions
Text analysis
Amazon
MF
M F
ME
M+F
N.SIMES
MF
M F
SIADES
MF
M
F
SIADES