Machine Generated Data
Tags
Amazon
created on 2019-07-06
Clarifai
created on 2019-07-06
Imagga
created on 2019-07-06
Google
created on 2019-07-06
Microsoft
created on 2019-07-06
vase | 98.9 | |
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cup | 98.6 | |
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coffee cup | 98 | |
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ceramic | 97.9 | |
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saucer | 97.7 | |
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plate | 97.7 | |
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earthenware | 97.6 | |
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mug | 97 | |
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pottery | 95.7 | |
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mixing bowl | 95.4 | |
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serveware | 93.1 | |
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plant | 93 | |
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jug | 92 | |
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platter | 91.9 | |
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dishware | 91.7 | |
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blue and white porcelain | 91.2 | |
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indoor | 91.1 | |
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teapot | 90.2 | |
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teacup | 88.6 | |
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pitcher | 87.9 | |
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kettle | 83.9 | |
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bowl | 77.2 | |
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lid | 62.4 | |
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ceramic ware | 60.9 | |
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dinnerware set | 59.6 | |
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urn | 57.5 | |
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tableware | 42.9 | |
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stoneware | 19.8 | |
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porcelain | 15.7 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 11-18 |
Gender | Male, 53.1% |
Calm | 45.1% |
Surprised | 45.3% |
Angry | 45.4% |
Happy | 48.6% |
Confused | 45.4% |
Sad | 49.9% |
Disgusted | 45.2% |
Feature analysis
Amazon
Person | 82.5% | |
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