Machine Generated Data
Tags
Amazon
created on 2022-01-15
Person | 97.3 | |
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Human | 97.3 | |
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Person | 94.2 | |
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Person | 83.4 | |
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Person | 82.8 | |
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Military | 82.5 | |
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Person | 78.7 | |
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Transportation | 73.5 | |
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Military Uniform | 73 | |
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Vehicle | 72.8 | |
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Person | 71.5 | |
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Person | 70.4 | |
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Boat | 70.1 | |
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Water | 69.5 | |
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Person | 68.5 | |
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Waterfront | 68 | |
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Person | 65.7 | |
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Army | 64 | |
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Armored | 64 | |
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Machine | 64 | |
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Person | 63.7 | |
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Building | 59.6 | |
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Meal | 59.5 | |
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Food | 59.5 | |
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Spoke | 57.9 | |
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Airplane | 57.4 | |
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Aircraft | 57.4 | |
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Nature | 57.1 | |
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Cruiser | 57 | |
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Ship | 57 | |
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Navy | 57 | |
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Weather | 56.8 | |
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Pier | 56.7 | |
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Port | 56.7 | |
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Dock | 56.7 | |
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Tank | 56.5 | |
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Smoke | 55.9 | |
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Watercraft | 55 | |
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Vessel | 55 | |
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Person | 51.9 | |
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Person | 48 | |
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Person | 43.8 | |
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Clarifai
created on 2023-10-26
monochrome | 99.6 | |
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vehicle | 99.4 | |
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people | 98.5 | |
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transportation system | 97.4 | |
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aircraft | 97.2 | |
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watercraft | 95.4 | |
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city | 94.5 | |
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group together | 94.5 | |
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airplane | 92.8 | |
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water | 90.8 | |
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no person | 90.6 | |
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street | 90.4 | |
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many | 88.4 | |
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group | 88.4 | |
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river | 87.7 | |
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building | 86.2 | |
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boat | 86 | |
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skyline | 86 | |
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adult | 85.3 | |
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sky | 85.1 | |
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Imagga
created on 2022-01-15
Google
created on 2022-01-15
Boat | 90.5 | |
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Watercraft | 90.4 | |
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Black | 89.7 | |
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Vehicle | 87.7 | |
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Black-and-white | 86.8 | |
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Sky | 86.3 | |
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Naval architecture | 85 | |
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Style | 84 | |
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Line | 82.1 | |
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Monochrome | 78.8 | |
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Tree | 78.4 | |
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Rectangle | 78.3 | |
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Monochrome photography | 78.2 | |
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Tints and shades | 77.1 | |
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Motor vehicle | 76.5 | |
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Font | 75.5 | |
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Ship | 71.6 | |
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Water | 70.3 | |
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Room | 66.3 | |
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Water transportation | 64 | |
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Microsoft
created on 2022-01-15
text | 99.8 | |
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black and white | 88.5 | |
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outdoor | 85.6 | |
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playground | 75.7 | |
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sky | 71.5 | |
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tree | 71.5 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-24 |
Gender | Female, 66.9% |
Calm | 83.4% |
Happy | 7.9% |
Fear | 3.7% |
Sad | 1.7% |
Angry | 1.2% |
Confused | 0.8% |
Disgusted | 0.8% |
Surprised | 0.5% |

AWS Rekognition
Age | 18-24 |
Gender | Male, 96.6% |
Calm | 67.9% |
Fear | 13% |
Sad | 4.8% |
Angry | 4.5% |
Happy | 4.4% |
Surprised | 2.3% |
Confused | 2% |
Disgusted | 1.2% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 51.4% |
Sad | 93.7% |
Calm | 3.2% |
Angry | 2.4% |
Disgusted | 0.3% |
Fear | 0.2% |
Happy | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |

AWS Rekognition
Age | 14-22 |
Gender | Female, 85.3% |
Calm | 47.9% |
Sad | 22.2% |
Confused | 9.4% |
Disgusted | 7.1% |
Happy | 6.3% |
Angry | 4.6% |
Fear | 1.3% |
Surprised | 1% |
Feature analysis
Categories
Imagga
interior objects | 76.9% | |
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cars vehicles | 21.8% | |
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Captions
Microsoft
created on 2022-01-15
a group of people on a boat | 40.6% | |
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a group of people riding on the back of a boat | 26.7% | |
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a group of people in a boat | 26.6% | |
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Text analysis
Amazon

43511

M.

M. un VT33A2 -NAGOY

-NAGOY

E

VT33A2

un

4351

4351