Machine Generated Data
Tags
Amazon
created on 2022-06-03
Clarifai
created on 2025-01-09
| people | 99.8 | |
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| watercraft | 99.7 | |
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| adult | 98.9 | |
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| vehicle | 98.6 | |
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| rowboat | 98.4 | |
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| man | 97.9 | |
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| water | 97.2 | |
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| two | 96.4 | |
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| transportation system | 95.7 | |
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| group together | 95.5 | |
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| group | 95 | |
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| river | 93.2 | |
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| woman | 92.6 | |
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| boatman | 91.8 | |
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| ship | 90.6 | |
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| boat | 90 | |
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| lake | 89.9 | |
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| monochrome | 89.4 | |
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| recreation | 88.2 | |
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| one | 86.4 | |
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Imagga
created on 2022-06-03
Google
created on 2022-06-03
| Water | 95.8 | |
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| Boat | 94.1 | |
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| Watercraft | 93 | |
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| Vehicle | 88.4 | |
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| Naval architecture | 83.2 | |
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| Black-and-white | 82.7 | |
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| Gesture | 78 | |
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| Rectangle | 76.1 | |
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| Monochrome photography | 75.9 | |
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| Monochrome | 75.2 | |
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| Boats and boating--Equipment and supplies | 75.2 | |
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| Crew | 67.9 | |
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| Lake | 66 | |
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| Ship | 65.3 | |
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| Stock photography | 64.2 | |
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| Recreation | 61.9 | |
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| Water transportation | 61.2 | |
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| Boating | 57.4 | |
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| Photographic paper | 57.3 | |
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| Vintage clothing | 56 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 58.2% |
| Happy | 38.2% |
| Surprised | 21.2% |
| Angry | 20.8% |
| Fear | 10% |
| Calm | 6.9% |
| Disgusted | 3.9% |
| Sad | 3.6% |
| Confused | 1.9% |
AWS Rekognition
| Age | 25-35 |
| Gender | Female, 55% |
| Calm | 57.4% |
| Sad | 37.2% |
| Angry | 8.4% |
| Surprised | 6.8% |
| Fear | 6.3% |
| Happy | 3.8% |
| Confused | 2.6% |
| Disgusted | 2.5% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very likely |
Feature analysis
Categories
Imagga
| nature landscape | 36.6% | |
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| paintings art | 25.7% | |
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| beaches seaside | 25.6% | |
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| food drinks | 9.5% | |
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Captions
Microsoft
created on 2022-06-03
| a group of people on a boat in the water | 49.5% | |
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| a ship on the water | 49.4% | |
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| a large ship in the water | 49.3% | |
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