Machine Generated Data
Tags
Amazon
created on 2023-10-06
Water | 99.8 | |
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Waterfront | 99.8 | |
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Adult | 99.5 | |
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Male | 99.5 | |
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Man | 99.5 | |
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Person | 99.5 | |
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Person | 98.5 | |
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Outdoors | 96.1 | |
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Transportation | 95.1 | |
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Vehicle | 95.1 | |
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Yacht | 95.1 | |
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Person | 93.6 | |
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Person | 91.2 | |
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Adult | 90.4 | |
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Person | 90.4 | |
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Female | 90.4 | |
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Woman | 90.4 | |
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Play Area | 86.1 | |
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Architecture | 77.7 | |
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Building | 77.7 | |
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Factory | 77.7 | |
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Outdoor Play Area | 75.5 | |
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Aircraft | 74.4 | |
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Person | 74.3 | |
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Head | 67.5 | |
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Face | 66.2 | |
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Person | 63.6 | |
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Person | 63.2 | |
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Manufacturing | 61.3 | |
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Person | 61.2 | |
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Watercraft | 57.5 | |
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Nature | 57.3 | |
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Airplane | 57 | |
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Biplane | 57 | |
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Boat | 56.7 | |
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Helicopter | 56.7 | |
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Clothing | 56 | |
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Coat | 56 | |
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Assembly Line | 55.9 | |
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Pier | 55.5 | |
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Shorts | 55.2 | |
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Handrail | 55.1 | |
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Clarifai
created on 2018-05-11
people | 99.9 | |
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group together | 99.6 | |
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adult | 98.5 | |
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vehicle | 97.7 | |
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group | 97.2 | |
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man | 95.9 | |
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many | 95.2 | |
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two | 93.9 | |
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one | 90 | |
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transportation system | 88.8 | |
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woman | 88.6 | |
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three | 87.3 | |
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watercraft | 86.8 | |
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several | 84.4 | |
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monochrome | 84.4 | |
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street | 83.7 | |
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wear | 82 | |
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aircraft | 81.6 | |
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four | 81.6 | |
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actor | 79.3 | |
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Imagga
created on 2023-10-06
torpedo | 40.9 | |
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industry | 35 | |
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device | 34.3 | |
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explosive device | 28.1 | |
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industrial | 27.2 | |
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vehicle | 26.1 | |
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bobsled | 24.6 | |
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factory | 24 | |
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transportation | 23.3 | |
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steel | 23.3 | |
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machine | 21.7 | |
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train | 19.8 | |
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sled | 19.7 | |
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work | 18.8 | |
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power | 18.5 | |
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business | 18.2 | |
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building | 16.7 | |
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station | 16.5 | |
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construction | 16.3 | |
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metal | 16.1 | |
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transport | 14.6 | |
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man | 14.1 | |
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track | 14.1 | |
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tank | 13.7 | |
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plant | 13.5 | |
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conveyance | 13.5 | |
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travel | 13.4 | |
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water | 13.3 | |
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equipment | 12.9 | |
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railway | 12.7 | |
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technology | 12.6 | |
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energy | 12.6 | |
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concrete | 12.4 | |
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rail | 11.8 | |
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manufacturing | 11.7 | |
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pipe | 11.7 | |
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sky | 11.5 | |
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machinery | 11.2 | |
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old | 11.1 | |
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pollution | 10.6 | |
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heavy | 10.5 | |
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structure | 10.5 | |
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loom | 10.5 | |
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cargo | 9.7 | |
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fuel | 9.6 | |
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gas | 9.6 | |
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engineering | 9.5 | |
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architecture | 9.4 | |
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iron | 9.3 | |
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oil | 9.3 | |
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city | 9.1 | |
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summer | 9 | |
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vacation | 9 | |
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new | 8.9 | |
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railroad | 8.8 | |
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textile machine | 8.8 | |
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urban | 8.7 | |
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tube | 8.7 | |
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storage | 8.6 | |
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container | 8 | |
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working | 8 | |
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pump | 7.8 | |
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alarm | 7.8 | |
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transfer | 7.8 | |
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delivery | 7.8 | |
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supply | 7.7 | |
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control | 7.6 | |
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ship | 7.5 | |
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holiday | 7.2 | |
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worker | 7.1 | |
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vessel | 7.1 | |
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shipping | 7 | |
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Google
created on 2018-05-11
black and white | 88.9 | |
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monochrome photography | 71.2 | |
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monochrome | 69 | |
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angle | 54.8 | |
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vehicle | 51.5 | |
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Microsoft
created on 2018-05-11
preparing | 46.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.9% |
Happy | 53.5% |
Calm | 33.8% |
Surprised | 11.9% |
Fear | 6.2% |
Sad | 2.9% |
Angry | 0.6% |
Disgusted | 0.6% |
Confused | 0.4% |

Microsoft Cognitive Services
Age | 22 |
Gender | Male |
Feature analysis
Categories
Imagga
paintings art | 46.5% | |
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streetview architecture | 21% | |
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beaches seaside | 11.2% | |
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nature landscape | 7% | |
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cars vehicles | 5.8% | |
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pets animals | 5.3% | |
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people portraits | 2.2% | |
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Captions
Microsoft
created on 2018-05-11
a man standing in front of a building | 77.8% | |
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a man standing next to a building | 73.9% | |
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a man standing on top of a building | 68.8% | |
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Text analysis
Amazon

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