Machine Generated Data
Tags
Amazon
created on 2022-03-11
| Person | 96.9 | |
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| Human | 96.9 | |
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| Person | 96.1 | |
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| Person | 95.7 | |
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| Pedestrian | 93.6 | |
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| Person | 93.5 | |
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| Road | 91.3 | |
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| Person | 90.8 | |
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| Person | 89.4 | |
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| Water | 87.7 | |
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| Handrail | 87.2 | |
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| Banister | 87.2 | |
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| Tarmac | 86.9 | |
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| Asphalt | 86.9 | |
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| Person | 85.8 | |
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| Person | 85.7 | |
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| Waterfront | 84.8 | |
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| Person | 77.8 | |
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| Pier | 77.8 | |
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| Port | 77.8 | |
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| Dock | 77.8 | |
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| Outdoors | 70.6 | |
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| Person | 69.4 | |
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| Person | 68 | |
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| Person | 66 | |
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| Vehicle | 64.8 | |
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| Transportation | 64.8 | |
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| Person | 64.2 | |
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| Person | 63.2 | |
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| Person | 62.3 | |
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| People | 62 | |
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| Person | 59.7 | |
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| Intersection | 59.6 | |
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| Building | 59.1 | |
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| Nature | 58.2 | |
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| Railing | 55.2 | |
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Clarifai
created on 2023-10-22
| people | 99.8 | |
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| many | 99.1 | |
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| group | 98.3 | |
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| group together | 97.5 | |
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| vehicle | 96.2 | |
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| street | 96 | |
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| adult | 94.5 | |
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| city | 93.9 | |
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| monochrome | 93.8 | |
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| no person | 93.5 | |
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| man | 93.3 | |
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| transportation system | 92.5 | |
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| crowd | 91.4 | |
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| administration | 89.2 | |
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| railway | 89 | |
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| architecture | 88 | |
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| building | 87.8 | |
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| travel | 86.6 | |
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| light | 84.3 | |
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| theater | 83.1 | |
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Imagga
created on 2022-03-11
Google
created on 2022-03-11
| Boat | 94.2 | |
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| Watercraft | 92.6 | |
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| Building | 86.8 | |
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| Vehicle | 84 | |
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| Line | 81.6 | |
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| Naval architecture | 77.5 | |
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| Monochrome | 77.4 | |
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| Ship | 73.4 | |
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| Monochrome photography | 72.2 | |
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| Dock | 71.3 | |
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| Stock photography | 65.5 | |
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| Water transportation | 64.5 | |
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| Rectangle | 64.4 | |
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| Port | 63.9 | |
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| History | 63.6 | |
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| Boats and boating--Equipment and supplies | 63 | |
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| Harbor | 62.5 | |
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| Paper product | 55.2 | |
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| Marina | 55 | |
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| City | 52 | |
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Microsoft
created on 2022-03-11
| ship | 98.9 | |
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| text | 98.7 | |
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| black and white | 96.7 | |
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| outdoor | 91.9 | |
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| watercraft | 87.4 | |
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| boat | 87.1 | |
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| white | 84.1 | |
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| monochrome | 84 | |
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| vehicle | 83 | |
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| black | 80.3 | |
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| water | 77.1 | |
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| people | 56.7 | |
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| old | 53 | |
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| city | 52.6 | |
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| vintage | 26.9 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 27-37 |
| Gender | Male, 88.6% |
| Calm | 94.6% |
| Sad | 2.4% |
| Angry | 1.8% |
| Happy | 0.6% |
| Disgusted | 0.2% |
| Fear | 0.2% |
| Surprised | 0.2% |
| Confused | 0.1% |
Feature analysis
Categories
Imagga
| cars vehicles | 99.7% | |
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Captions
Microsoft
created on 2022-03-11
| a vintage photo of a group of people standing in front of a crowd | 88.6% | |
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| a vintage photo of a large crowd of people | 88.5% | |
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| a vintage photo of a group of people in a city | 88.4% | |
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Text analysis
Amazon
OBELISM
OR R
ORELIS:
ORELIS: