Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-27
Imagga
created on 2022-01-23
Google
created on 2022-01-23
Drinkware | 85.8 | |
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Style | 83.9 | |
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Tableware | 83.2 | |
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Black-and-white | 82.9 | |
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Serveware | 81 | |
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Cup | 80.2 | |
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Monochrome photography | 74.7 | |
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Monochrome | 73.6 | |
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Pitcher | 68.8 | |
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Font | 68.5 | |
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Cylinder | 65.8 | |
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Glass | 64.3 | |
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Jug | 64.2 | |
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Cup | 63.1 | |
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One-piece garment | 62.1 | |
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Still life photography | 61.1 | |
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Blender | 58.7 | |
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Mixer | 56.6 | |
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Old fashioned glass | 56.4 | |
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Smile | 53 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 25-35 |
Gender | Female, 99.4% |
Happy | 95.9% |
Sad | 2.5% |
Calm | 0.5% |
Surprised | 0.4% |
Angry | 0.3% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.4% | |
|
Text analysis
Amazon
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