Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
outrigger | 100 | |
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stabilizer | 96.9 | |
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device | 78.4 | |
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sea | 49.5 | |
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boat | 48.9 | |
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water | 42.1 | |
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ocean | 41.2 | |
| ||
sky | 27.4 | |
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beach | 25.6 | |
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sunset | 25.2 | |
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vessel | 24 | |
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travel | 23.2 | |
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ship | 22.5 | |
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island | 21.1 | |
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boats | 19.4 | |
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vacation | 18.8 | |
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coast | 18 | |
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landscape | 17.9 | |
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bay | 17 | |
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tourism | 16.5 | |
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sun | 16.1 | |
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sailboat | 16 | |
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yacht | 16 | |
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harbor | 15.4 | |
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sail | 14.6 | |
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holiday | 14.3 | |
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summer | 14.2 | |
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sand | 14 | |
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dock | 13.6 | |
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tourist | 12.7 | |
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port | 12.5 | |
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speedboat | 12.3 | |
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clouds | 11.8 | |
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architecture | 11.7 | |
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pacific | 11.6 | |
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fishing | 11.5 | |
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cloud | 11.2 | |
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transport | 11 | |
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relax | 11 | |
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horizon | 10.8 | |
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transportation | 10.8 | |
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cruise | 10.7 | |
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reflection | 10.6 | |
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rock | 10.4 | |
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shore | 10.3 | |
| ||
waves | 10.2 | |
| ||
marina | 9.8 | |
| ||
dusk | 9.5 | |
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coastline | 9.4 | |
| ||
sunrise | 9.4 | |
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tropical | 9.4 | |
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trimaran | 9.4 | |
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scenery | 9 | |
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craft | 9 | |
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night | 8.9 | |
| ||
sailing | 8.8 | |
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wave | 8.6 | |
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seascape | 8.6 | |
| ||
motorboat | 8.4 | |
| ||
lake | 8.2 | |
| ||
peaceful | 8.2 | |
| ||
outdoors | 8.2 | |
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recreation | 8.1 | |
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light | 8 | |
| ||
mountain | 8 | |
| ||
day | 7.9 | |
| ||
scene | 7.8 | |
| ||
dawn | 7.7 | |
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tree | 7.7 | |
| ||
pool | 7.7 | |
| ||
relaxation | 7.5 | |
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sailing vessel | 7.5 | |
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evening | 7.5 | |
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town | 7.4 | |
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scenic | 7 | |
|
Google
created on 2022-01-15
Boat | 96.2 | |
| ||
Watercraft | 89.8 | |
| ||
Vehicle | 89 | |
| ||
Boats and boating--Equipment and supplies | 88 | |
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Aircraft | 87.2 | |
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Water | 86.4 | |
| ||
Rectangle | 76.9 | |
| ||
Airplane | 76.5 | |
| ||
Aviation | 76.3 | |
| ||
Recreation | 75.3 | |
| ||
Oar | 74.7 | |
| ||
Snapshot | 74.3 | |
| ||
Canoe | 73.8 | |
| ||
Monochrome photography | 69 | |
| ||
Water transportation | 68.9 | |
| ||
Illustration | 66.5 | |
| ||
Monochrome | 66.2 | |
| ||
Stock photography | 66.1 | |
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Canoeing | 63.3 | |
| ||
Ship | 63 | |
|
Microsoft
created on 2022-01-15
text | 99.7 | |
| ||
water | 99.1 | |
| ||
black and white | 96 | |
| ||
lake | 90.6 | |
| ||
beach | 90.5 | |
| ||
monochrome | 84 | |
| ||
person | 55.8 | |
| ||
vehicle | 52.9 | |
| ||
sky | 52 | |
| ||
picture frame | 7.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 37-45 |
Gender | Female, 82.3% |
Calm | 95.7% |
Happy | 1.8% |
Surprised | 1.2% |
Disgusted | 0.4% |
Confused | 0.4% |
Sad | 0.3% |
Fear | 0.1% |
Angry | 0.1% |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Text analysis
Amazon
16057.
122
MAMT2A3
VAGOY
16057.
16057.
16057.