Machine Generated Data
Tags
Amazon
created on 2019-07-08
Clarifai
created on 2019-07-08
Imagga
created on 2019-07-08
| earthenware | 70.5 | |
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| ceramic ware | 52.1 | |
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| container | 42.5 | |
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| utensil | 35 | |
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| bag | 28.4 | |
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| cup | 24.2 | |
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| purse | 23.9 | |
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| brown | 21.3 | |
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| old | 18.8 | |
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| wallet | 18.5 | |
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| paper | 18 | |
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| object | 17.6 | |
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| decoration | 14.5 | |
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| drink | 14.2 | |
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| money | 13.6 | |
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| empty | 12.9 | |
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| food | 11.7 | |
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| leather | 11.4 | |
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| design | 11.3 | |
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| case | 11.3 | |
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| texture | 11.1 | |
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| finance | 11 | |
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| vase | 10.8 | |
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| beverage | 10.8 | |
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| vintage | 10.7 | |
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| art | 10.4 | |
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| business | 10.3 | |
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| dollar | 10.2 | |
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| cash | 10.1 | |
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| currency | 9.9 | |
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| single | 9.9 | |
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| breakfast | 9.7 | |
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| close | 9.7 | |
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| ceramic | 9.7 | |
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| home | 9.6 | |
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| pattern | 9.6 | |
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| accessory | 9.5 | |
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| pot | 9.4 | |
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| wood | 9.2 | |
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| pillow | 9 | |
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| retro | 9 | |
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| kitchen | 8.9 | |
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| color | 8.9 | |
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| mug | 8.8 | |
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| fabric | 8.8 | |
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| nobody | 8.6 | |
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| elegance | 8.4 | |
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| rich | 8.4 | |
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| jug | 8.2 | |
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| pottery | 8.2 | |
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| gold | 8.2 | |
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| furniture | 8.2 | |
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| seat | 8.1 | |
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| decor | 8 | |
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| wooden | 7.9 | |
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| antique | 7.8 | |
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| ancient | 7.8 | |
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| saucer | 7.8 | |
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| box | 7.5 | |
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| savings | 7.5 | |
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| style | 7.4 | |
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| closeup | 7.4 | |
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| coffee | 7.4 | |
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| bread | 7.4 | |
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| slice | 7.3 | |
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| detail | 7.2 | |
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| morning | 7.2 | |
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| tea | 7.1 | |
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Google
created on 2019-07-08
Microsoft
created on 2019-07-08
| artifact | 72.4 | |
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| ceramic ware | 32.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 51.8% |
| Happy | 3% |
| Surprised | 7.2% |
| Confused | 12.2% |
| Calm | 15.4% |
| Angry | 43% |
| Sad | 12.4% |
| Disgusted | 6.8% |
Feature analysis
Amazon
| Bread | 100% | |
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Categories
Imagga
| food drinks | 96% | |
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| paintings art | 3.1% | |
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