Machine Generated Data
Tags
Amazon
created on 2023-10-25
| Cruiser | 100 | |
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| Military | 100 | |
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| Navy | 100 | |
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| Ship | 100 | |
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| Transportation | 100 | |
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| Vehicle | 100 | |
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| Face | 100 | |
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| Head | 100 | |
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| Photography | 100 | |
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| Portrait | 100 | |
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| Yacht | 99.8 | |
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| Water | 99.4 | |
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| Waterfront | 99.4 | |
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| Person | 98.9 | |
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| Adult | 98.9 | |
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| Female | 98.9 | |
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| Woman | 98.9 | |
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| Person | 98.4 | |
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| Adult | 98.4 | |
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| Male | 98.4 | |
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| Man | 98.4 | |
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| Person | 98.2 | |
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| Adult | 98.2 | |
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| Male | 98.2 | |
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| Man | 98.2 | |
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| Watercraft | 95.2 | |
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| People | 92.2 | |
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| Outdoors | 87.9 | |
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| Car | 87.3 | |
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| Boat | 84.6 | |
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| Sailboat | 84.6 | |
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| Barge | 81.7 | |
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| Person | 80.2 | |
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| Adult | 80.2 | |
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| Male | 80.2 | |
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| Man | 80.2 | |
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| Nature | 77.2 | |
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| Sea | 76.7 | |
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| Freighter | 72 | |
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| Battleship | 65 | |
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| City | 57.4 | |
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| Destroyer | 56.5 | |
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| Harbor | 56.5 | |
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| Pier | 56.5 | |
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| Clothing | 56.5 | |
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| T-Shirt | 56.5 | |
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| Urban | 56 | |
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| Sky | 55.8 | |
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| Appliance | 55.1 | |
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| Device | 55.1 | |
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| Electrical Device | 55.1 | |
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| Steamer | 55.1 | |
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Clarifai
created on 2023-10-15
| people | 99.6 | |
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| watercraft | 98.9 | |
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| transportation system | 97.3 | |
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| vehicle | 97 | |
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| adult | 96.8 | |
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| man | 96.2 | |
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| group | 95.1 | |
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| woman | 94.2 | |
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| two | 93.1 | |
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| ship | 93 | |
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| boat | 92 | |
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| water | 91.3 | |
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| recreation | 87.6 | |
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| group together | 87.6 | |
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| child | 87.1 | |
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| silhouette | 84.6 | |
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| rain | 84.4 | |
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| portrait | 82.3 | |
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| backlit | 81.9 | |
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| harbor | 81.3 | |
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Imagga
created on 2019-01-31
Google
created on 2019-01-31
| Photograph | 95.6 | |
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| Black | 95.4 | |
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| Snapshot | 83.9 | |
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| Black-and-white | 82.7 | |
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| Photography | 77 | |
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| Monochrome | 72.4 | |
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| Monochrome photography | 69.6 | |
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| Vehicle | 51.9 | |
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Microsoft
created on 2019-01-31
| window | 97.9 | |
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| person | 94.9 | |
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| bus | 94.9 | |
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| black and white | 54.5 | |
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| train | 25.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-43 |
| Gender | Male, 99.2% |
| Sad | 89% |
| Calm | 55.9% |
| Surprised | 6.5% |
| Fear | 6% |
| Confused | 1.1% |
| Angry | 0.4% |
| Happy | 0.2% |
| Disgusted | 0.2% |
AWS Rekognition
| Age | 50-58 |
| Gender | Female, 75.9% |
| Sad | 100% |
| Calm | 9.1% |
| Surprised | 6.3% |
| Fear | 5.9% |
| Confused | 0.3% |
| Angry | 0.2% |
| Disgusted | 0.1% |
| Happy | 0.1% |
AWS Rekognition
| Age | 19-27 |
| Gender | Male, 88.8% |
| Calm | 96.4% |
| Surprised | 6.3% |
| Fear | 6% |
| Sad | 2.9% |
| Happy | 0.7% |
| Angry | 0.2% |
| Confused | 0.2% |
| Disgusted | 0.1% |
Feature analysis
Categories
Imagga
| events parties | 41.3% | |
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| food drinks | 29.7% | |
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| people portraits | 14.9% | |
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| interior objects | 5.6% | |
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| paintings art | 2.9% | |
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| streetview architecture | 2.3% | |
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| cars vehicles | 1.9% | |
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Captions
Microsoft
created on 2019-01-31
| a person standing in front of a window | 91.2% | |
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| a person sitting in front of a window | 86.8% | |
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| a man and a woman sitting in front of a window | 61.6% | |
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