Machine Generated Data
Tags
Amazon
created on 2022-01-30
Imagga
created on 2022-01-30
Google
created on 2022-01-30
Vehicle | 90.1 | |
| ||
Black | 89.8 | |
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Watercraft | 89.7 | |
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Plant | 83.1 | |
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Black-and-white | 82.3 | |
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Line | 81.8 | |
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Tree | 80.9 | |
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Rectangle | 77.4 | |
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Naval architecture | 75.9 | |
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Monochrome | 73.4 | |
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Monochrome photography | 72.7 | |
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Asphalt | 70.7 | |
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Ship | 70.6 | |
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Boat | 67.2 | |
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Sky | 65.6 | |
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Room | 62.1 | |
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Stock photography | 62 | |
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Road | 61.5 | |
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Font | 60.2 | |
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Naval ship | 59.6 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 22-30 |
Gender | Female, 89.2% |
Happy | 41.1% |
Disgusted | 24.9% |
Calm | 23% |
Confused | 2.8% |
Sad | 2.2% |
Angry | 2.2% |
Fear | 2% |
Surprised | 1.8% |
Feature analysis
Amazon



Person | 99.4% | |
|
Captions
Microsoft
an old photo of a street | 87% | |
| ||
an old photo of a building | 86.9% | |
| ||
an old photo of a bridge | 61.4% | |
|
Text analysis
Amazon

ARMO

MILLS

ARMO MILLS

ATLAS

FEEDS

QUALITY

HUMBL

TIRES

EFFR

20D

ARMO CATERO

AND

VT33A'2

VT33A'2 NAOOX

NAOOX

CATERO

ATLAS!

2OVEEIA

ATLAS!
2OVEEIA