Machine Generated Data
Tags
Amazon
created on 2019-11-06
Furniture | 99.5 | |
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Clothing | 98.2 | |
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Apparel | 98.2 | |
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Human | 97.5 | |
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Person | 97.5 | |
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Gown | 91.8 | |
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Evening Dress | 91.8 | |
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Robe | 91.8 | |
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Fashion | 91.8 | |
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Female | 85.5 | |
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Shelf | 75.6 | |
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Indoors | 73.4 | |
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Room | 73.4 | |
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Woman | 72.5 | |
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Closet | 70.7 | |
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Cupboard | 70.7 | |
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Cabinet | 66.7 | |
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Flooring | 65.4 | |
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Door | 65.2 | |
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Footwear | 60.5 | |
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Shoe | 60.5 | |
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Leisure Activities | 59.6 | |
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Bookcase | 59.4 | |
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Floor | 59.3 | |
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Building | 56 | |
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Housing | 56 | |
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Clarifai
created on 2019-11-06
Imagga
created on 2019-11-06
Google
created on 2019-11-06
Pink | 86.5 | |
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Magenta | 77.3 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 33-49 |
Gender | Female, 52% |
Disgusted | 45% |
Happy | 50.9% |
Angry | 45.1% |
Surprised | 45% |
Fear | 45% |
Confused | 45% |
Sad | 45% |
Calm | 48.9% |
Microsoft Cognitive Services
Age | 45 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 97.5% | |
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