Machine Generated Data
Tags
Amazon
created on 2019-11-16
| Human | 99.4 | |
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| Person | 99.4 | |
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| Person | 99.4 | |
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| Person | 99.2 | |
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| Vessel | 98.7 | |
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| Transportation | 98.7 | |
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| Watercraft | 98.7 | |
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| Vehicle | 98.7 | |
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| Military | 95.5 | |
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| Navy | 95.5 | |
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| Cruiser | 95.5 | |
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| Ship | 95.5 | |
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| Person | 94.9 | |
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| Person | 92.9 | |
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| Water | 90.7 | |
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| Waterfront | 90.7 | |
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| Person | 88.8 | |
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| Person | 86.4 | |
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| Boat | 85.5 | |
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| Pier | 82.8 | |
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| Dock | 82.8 | |
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| Harbor | 82.8 | |
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| Port | 82.8 | |
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| Person | 79.8 | |
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| Boat | 78 | |
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| Person | 74.7 | |
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| Boat | 72.5 | |
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| Boat | 72.4 | |
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| Boat | 70 | |
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| Battleship | 63.8 | |
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| Barge | 58.6 | |
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Clarifai
created on 2019-11-16
| people | 100 | |
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| watercraft | 99.9 | |
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| vehicle | 99.7 | |
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| group together | 99.6 | |
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| group | 99.5 | |
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| many | 99 | |
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| transportation system | 98.9 | |
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| adult | 98.4 | |
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| warship | 96.6 | |
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| military | 96.5 | |
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| man | 93.6 | |
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| war | 93.4 | |
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| several | 93.1 | |
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| navy | 90.8 | |
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| wear | 89.8 | |
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| woman | 87.4 | |
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| four | 86.2 | |
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| recreation | 85.5 | |
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| boatman | 84.1 | |
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| ship | 83.8 | |
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Imagga
created on 2019-11-16
| ship | 100 | |
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| vessel | 66.6 | |
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| fisherman | 56.3 | |
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| boat | 51.5 | |
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| sea | 47.7 | |
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| water | 41.4 | |
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| harbor | 40.5 | |
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| pirate | 39.1 | |
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| warship | 38.6 | |
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| port | 35.7 | |
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| ocean | 33.2 | |
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| craft | 29.3 | |
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| boats | 28.2 | |
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| battleship | 28 | |
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| dock | 25.3 | |
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| military vehicle | 25.2 | |
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| sky | 23 | |
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| sailing | 22.4 | |
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| marina | 22.3 | |
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| submarine | 21.6 | |
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| nautical | 21.4 | |
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| transport | 21 | |
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| ships | 20.6 | |
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| sail | 20.4 | |
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| transportation | 19.7 | |
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| yacht | 19.5 | |
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| pier | 18.7 | |
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| travel | 17.6 | |
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| river | 16.9 | |
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| summer | 16.7 | |
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| vacation | 16.4 | |
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| industry | 16.2 | |
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| submersible | 16.1 | |
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| vehicle | 16 | |
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| mast | 15.7 | |
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| sunset | 15.3 | |
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| shipping | 15 | |
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| tourism | 14.9 | |
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| industrial | 14.5 | |
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| fishing | 14.4 | |
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| bay | 14.2 | |
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| coastline | 14.1 | |
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| lake | 13.7 | |
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| sailboat | 13.7 | |
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| shore | 13 | |
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| cargo | 12.6 | |
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| coast | 12.6 | |
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| tourist | 11.8 | |
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| cruise | 11.7 | |
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| city | 11.6 | |
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| island | 11 | |
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| quay | 10.8 | |
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| wharf | 10.8 | |
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| freight | 10.8 | |
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| crane | 10.8 | |
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| heavy | 10.5 | |
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| sun | 10.5 | |
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| marine | 10.5 | |
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| landscape | 10.4 | |
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| beach | 10.1 | |
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| loading | 9.9 | |
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| navy | 9.8 | |
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| dusk | 9.5 | |
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| holiday | 9.3 | |
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| business | 9.1 | |
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| old | 9.1 | |
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| moored | 8.9 | |
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| export | 8.9 | |
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| military | 8.7 | |
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| luxury | 8.6 | |
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| clouds | 8.5 | |
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| evening | 8.4 | |
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| scenery | 8.1 | |
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| cranes | 7.9 | |
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| yachts | 7.9 | |
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| urban | 7.9 | |
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| cloud | 7.8 | |
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| pacific | 7.7 | |
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| navigation | 7.7 | |
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| outdoors | 7.5 | |
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| container | 7.4 | |
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| flag | 7.3 | |
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| reflection | 7.3 | |
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| scenic | 7 | |
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Google
created on 2019-11-16
| Photograph | 94.8 | |
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| Vehicle | 79.3 | |
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| Watercraft | 68 | |
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| Boat | 67 | |
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| Photography | 62.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-42 |
| Gender | Female, 54.2% |
| Disgusted | 45.1% |
| Angry | 45.1% |
| Calm | 47.4% |
| Surprised | 45.8% |
| Sad | 50.6% |
| Confused | 45.3% |
| Fear | 45.2% |
| Happy | 45.5% |
AWS Rekognition
| Age | 51-69 |
| Gender | Male, 50.4% |
| Angry | 49.5% |
| Surprised | 49.5% |
| Sad | 50.1% |
| Happy | 49.5% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Calm | 49.8% |
| Fear | 49.5% |
Feature analysis
Categories
Imagga
| cars vehicles | 59.6% | |
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| streetview architecture | 10.8% | |
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| interior objects | 9.8% | |
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| events parties | 6.8% | |
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| nature landscape | 3.6% | |
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| paintings art | 3.2% | |
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| food drinks | 1.7% | |
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| sunrises sunsets | 1.6% | |
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Captions
Microsoft
created on 2019-11-16
| a group of people on a boat in the water | 93.2% | |
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| a group of people standing in front of a body of water | 93.1% | |
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| a group of people in a boat on the water | 93% | |
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