Machine Generated Data
Tags
Amazon
created on 2022-01-09
Imagga
created on 2022-01-09
Google
created on 2022-01-09
Boat | 96.6 | |
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Water | 95.8 | |
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Vehicle | 92 | |
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Black | 89.6 | |
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Watercraft | 89.5 | |
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Boats and boating--Equipment and supplies | 88.3 | |
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Paddle | 87.8 | |
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Black-and-white | 84 | |
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Style | 83.8 | |
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Plant | 80.6 | |
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Lake | 80 | |
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Canoe | 79.6 | |
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Wood | 79.4 | |
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Adaptation | 79.4 | |
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Tints and shades | 77 | |
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Oar | 76.6 | |
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Monochrome photography | 75.9 | |
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Rectangle | 75.5 | |
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Monochrome | 71.9 | |
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Ship | 70.2 | |
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Microsoft
created on 2022-01-09
boat | 99.6 | |
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water | 99.6 | |
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outdoor | 98.7 | |
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watercraft | 97.2 | |
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lake | 95.6 | |
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text | 94.8 | |
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ship | 91.3 | |
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black and white | 87.3 | |
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vehicle | 67.5 | |
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several | 11.6 | |
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Face analysis
Amazon

AWS Rekognition
Age | 37-45 |
Gender | Female, 85.2% |
Calm | 67.8% |
Sad | 29.9% |
Confused | 1.4% |
Happy | 0.4% |
Angry | 0.2% |
Fear | 0.1% |
Disgusted | 0.1% |
Surprised | 0.1% |
Feature analysis
Captions
Microsoft
a group of people in a small boat in a body of water | 94.8% | |
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a group of people in a boat on a body of water | 94.7% | |
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a group of people on a boat in a body of water | 94.5% | |
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Text analysis
Amazon

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YT33A2-NAGOX

YT33A2-NAGOX