Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
people | 99.7 | |
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watercraft | 99.3 | |
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vehicle | 98.5 | |
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transportation system | 98.3 | |
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monochrome | 96.7 | |
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ship | 94 | |
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adult | 93.4 | |
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group together | 93 | |
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warship | 92.1 | |
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street | 91.8 | |
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sea | 91.4 | |
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cargo ship | 90.6 | |
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water | 89.7 | |
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military | 89 | |
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man | 84.3 | |
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group | 84.2 | |
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river | 83.8 | |
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one | 82.1 | |
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pier | 81.7 | |
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boat | 80.7 | |
|
Imagga
created on 2019-05-29
Google
created on 2019-05-29
Photograph | 95.4 | |
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Snapshot | 83.3 | |
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Vehicle | 81.1 | |
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Ship | 74.1 | |
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Watercraft | 71.2 | |
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Boat | 60.7 | |
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Naval ship | 58.6 | |
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Battleship | 56.9 | |
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Destroyer | 53.4 | |
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Microsoft
created on 2019-05-29
ship | 99.2 | |
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sky | 98.7 | |
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boat | 95.7 | |
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watercraft | 94.9 | |
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black and white | 78.3 | |
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vehicle | 67.2 | |
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water | 66 | |
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old | 65.8 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Male, 60% |
Angry | 14.3% |
Calm | 22.9% |
Sad | 43.7% |
Disgusted | 4.5% |
Surprised | 3.1% |
Happy | 0.8% |
Confused | 10.7% |
Microsoft Cognitive Services
Age | 31 |
Gender | Female |
Feature analysis
Text analysis
Amazon
XNI3