Machine Generated Data
Tags
Amazon
created on 2019-07-06
Clarifai
created on 2019-07-06
art | 99.2 | |
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container | 99 | |
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decoration | 98.9 | |
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pottery | 98.6 | |
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design | 97.5 | |
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craft | 97.2 | |
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vase | 96.3 | |
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ceramic | 95.9 | |
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pattern | 95.7 | |
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handicraft | 95.7 | |
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ancient | 95.7 | |
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no person | 95.7 | |
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souvenir | 95.5 | |
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handmade | 95.3 | |
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traditional | 95.3 | |
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illustration | 95.2 | |
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antique | 95.1 | |
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vintage | 94.5 | |
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old | 94.3 | |
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ornate | 93.6 | |
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Imagga
created on 2019-07-06
Google
created on 2019-07-06
Vase | 90.8 | |
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Porcelain | 90.8 | |
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earthenware | 83.4 | |
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Ceramic | 83.3 | |
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Antique | 78.3 | |
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Artifact | 72.2 | |
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Pottery | 71.7 | |
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Urn | 62.1 | |
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Art | 50.2 | |
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Interior design | 50.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 15-25 |
Gender | Female, 50.5% |
Surprised | 49.6% |
Sad | 49.6% |
Angry | 49.5% |
Disgusted | 49.6% |
Calm | 50.2% |
Happy | 49.5% |
Confused | 49.5% |
AWS Rekognition
Age | 11-18 |
Gender | Female, 50.5% |
Surprised | 49.6% |
Disgusted | 49.6% |
Calm | 49.7% |
Confused | 49.6% |
Sad | 49.8% |
Happy | 49.8% |
Angry | 49.6% |
Feature analysis
Amazon
Purse | 80.7% | |
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Text analysis
Amazon
R