Machine Generated Data
Tags
Amazon
created on 2019-07-31
Human | 99.4 | |
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Person | 99.4 | |
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Art | 96.2 | |
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Painting | 90.1 | |
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Home Decor | 82 | |
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Linen | 60.2 | |
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Photography | 57.8 | |
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Photo | 57.8 | |
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Portrait | 57.8 | |
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Face | 57.8 | |
|
Clarifai
created on 2019-07-31
Imagga
created on 2019-07-31
Google
created on 2019-07-31
Photograph | 95 | |
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Picture frame | 92.3 | |
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Painting | 89.2 | |
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Art | 78.1 | |
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Stock photography | 70.9 | |
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Illustration | 60.2 | |
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Visual arts | 59.3 | |
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Antique | 59 | |
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Portrait | 53.5 | |
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Artwork | 52.3 | |
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Oval | 51 | |
|
Microsoft
created on 2019-07-31
text | 98.9 | |
| ||
human face | 97.8 | |
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person | 94 | |
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painting | 88.7 | |
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picture frame | 85.1 | |
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clothing | 84.8 | |
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museum | 69.8 | |
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drawing | 69.8 | |
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art | 55.6 | |
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old | 46.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Male, 94.9% |
Angry | 4.6% |
Happy | 29.4% |
Confused | 5.7% |
Disgusted | 5.1% |
Surprised | 10.7% |
Calm | 22.4% |
Sad | 22.1% |
Microsoft Cognitive Services
Age | 49 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Text analysis
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