Machine Generated Data
Tags
Amazon
created on 2022-01-14
Water | 99.4 | |
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Human | 98.9 | |
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Person | 98.9 | |
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Waterfront | 98.6 | |
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Person | 98.4 | |
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Person | 98.1 | |
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Person | 97.9 | |
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Person | 97.9 | |
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Person | 97.9 | |
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Person | 95.7 | |
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Dock | 95.1 | |
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Pier | 95.1 | |
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Port | 95.1 | |
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Harbor | 89.1 | |
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Vessel | 85.4 | |
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Watercraft | 85.4 | |
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Vehicle | 85.4 | |
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Transportation | 85.4 | |
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Military | 79.8 | |
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Person | 77.9 | |
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Cruiser | 69.2 | |
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Navy | 69.2 | |
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Ship | 69.2 | |
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Aircraft | 60.7 | |
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Landing | 60.7 | |
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Airplane | 60.7 | |
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Person | 51.2 | |
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Person | 48.8 | |
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Clarifai
created on 2023-10-25
people | 99.6 | |
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group together | 99.3 | |
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vehicle | 98.9 | |
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many | 98.6 | |
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group | 97.3 | |
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transportation system | 96.3 | |
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watercraft | 96.2 | |
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adult | 94.1 | |
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aircraft | 94 | |
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man | 91.4 | |
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military | 90.1 | |
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monochrome | 89.5 | |
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water | 87.4 | |
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crowd | 86.6 | |
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airplane | 84.7 | |
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recreation | 83 | |
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town | 82.7 | |
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seashore | 79.5 | |
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spectator | 75.6 | |
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beach | 75.5 | |
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Imagga
created on 2022-01-14
ship | 31.3 | |
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sky | 29.5 | |
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water | 29.4 | |
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sea | 25.8 | |
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travel | 23.9 | |
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pier | 23.5 | |
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waterfront | 22.6 | |
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city | 21.6 | |
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architecture | 21.1 | |
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harbor | 20.2 | |
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boat | 19.3 | |
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aircraft carrier | 18.7 | |
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landscape | 18.6 | |
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river | 17.8 | |
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building | 17.1 | |
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ocean | 16.7 | |
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urban | 16.6 | |
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boats | 16.5 | |
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warship | 16.2 | |
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coast | 15.3 | |
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marina | 15.1 | |
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bay | 15.1 | |
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tourism | 14.9 | |
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vessel | 14.2 | |
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shopping cart | 14.2 | |
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beach | 13.9 | |
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support | 13.5 | |
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military vehicle | 13.1 | |
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summer | 12.9 | |
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clouds | 12.7 | |
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structure | 12.6 | |
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bridge | 12.5 | |
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port | 12.5 | |
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device | 12.4 | |
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vacation | 12.3 | |
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vehicle | 12.1 | |
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handcart | 11.7 | |
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tower | 11.6 | |
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shore | 11.3 | |
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dairy | 10.8 | |
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wheeled vehicle | 10.7 | |
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cityscape | 10.4 | |
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town | 10.2 | |
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island | 10.1 | |
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tourist | 10 | |
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yacht | 9.7 | |
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sand | 9.6 | |
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cloud | 9.5 | |
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buildings | 9.5 | |
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winter | 9.4 | |
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craft | 9.3 | |
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house | 9.2 | |
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outdoors | 9 | |
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snow | 8.8 | |
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scenic | 8.8 | |
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dock | 8.8 | |
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chair | 8.6 | |
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industry | 8.5 | |
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night | 8 | |
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quay | 7.9 | |
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houses | 7.7 | |
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seat | 7.7 | |
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construction | 7.7 | |
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fishing | 7.7 | |
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outdoor | 7.6 | |
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steel | 7.3 | |
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industrial | 7.3 | |
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sailboat | 7.2 | |
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sunset | 7.2 | |
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day | 7.1 | |
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Google
created on 2022-01-14
Boat | 93.4 | |
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Watercraft | 91.6 | |
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Water | 85.6 | |
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Sky | 83.8 | |
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Vehicle | 79.3 | |
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Adaptation | 79.2 | |
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Tints and shades | 76.5 | |
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Monochrome photography | 75.2 | |
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Monochrome | 73.9 | |
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Ship | 70.2 | |
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Rectangle | 64.4 | |
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History | 64 | |
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Room | 61.8 | |
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Harbor | 60.7 | |
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Water transportation | 60.3 | |
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Paper product | 57 | |
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Photographic paper | 56.8 | |
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Boats and boating--Equipment and supplies | 56.4 | |
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Vintage clothing | 56.1 | |
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Microsoft
created on 2022-01-14
ship | 99.6 | |
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text | 97.5 | |
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black and white | 97.2 | |
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watercraft | 96.5 | |
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boat | 96.5 | |
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water | 80.7 | |
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vehicle | 79.9 | |
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black | 78.2 | |
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white | 72.5 | |
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monochrome | 71.3 | |
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people | 66.9 | |
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city | 53.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 20-28 |
Gender | Female, 58.9% |
Happy | 79.7% |
Calm | 17.6% |
Sad | 1.6% |
Disgusted | 0.4% |
Fear | 0.3% |
Confused | 0.2% |
Surprised | 0.1% |
Angry | 0.1% |
Feature analysis
Amazon
Person | 98.9% | |
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Text analysis
Amazon
NAGOR
COLUMBIA
M-13--YT3RA°