Machine Generated Data
Tags
Amazon
created on 2019-11-19
Person | 99.5 | |
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Human | 99.5 | |
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Person | 94.9 | |
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Person | 90.1 | |
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Person | 88.5 | |
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Person | 86.1 | |
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Shorts | 78.4 | |
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Apparel | 78.4 | |
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Clothing | 78.4 | |
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Transportation | 76.2 | |
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Vehicle | 76.2 | |
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Asphalt | 70 | |
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Tarmac | 70 | |
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Pedestrian | 62.7 | |
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Person | 60.6 | |
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Flooring | 58.2 | |
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Coat | 57.6 | |
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Overcoat | 57.6 | |
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Automobile | 56.7 | |
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Car | 56.7 | |
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Sports Car | 56.7 | |
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Handrail | 55.3 | |
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Banister | 55.3 | |
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Spoke | 55.1 | |
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Machine | 55.1 | |
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Clarifai
created on 2019-11-19
people | 99.8 | |
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group together | 99 | |
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monochrome | 97.9 | |
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adult | 97.2 | |
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group | 96.9 | |
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many | 96.9 | |
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man | 93.9 | |
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administration | 93.8 | |
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vehicle | 92.9 | |
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war | 91.5 | |
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two | 90.5 | |
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transportation system | 90 | |
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street | 89.6 | |
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one | 88.9 | |
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military | 88.7 | |
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woman | 88.1 | |
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wear | 85.3 | |
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room | 84.5 | |
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several | 81.4 | |
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no person | 79.5 | |
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Imagga
created on 2019-11-19
building | 50.5 | |
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architecture | 42.8 | |
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city | 33.3 | |
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cell | 27.3 | |
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structure | 26.2 | |
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urban | 21.8 | |
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travel | 21.8 | |
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university | 20.8 | |
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sky | 17.9 | |
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prison | 17.2 | |
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warehouse | 16.8 | |
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landmark | 16.3 | |
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house | 15.2 | |
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office | 15 | |
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center | 14.9 | |
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modern | 14.7 | |
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cityscape | 14.2 | |
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old | 13.9 | |
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tower | 13.4 | |
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locker | 13.4 | |
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tourism | 13.2 | |
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correctional institution | 13.1 | |
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bridge | 12.6 | |
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town | 12.1 | |
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college | 12 | |
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window | 12 | |
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construction | 12 | |
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gymnasium | 11.8 | |
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river | 11.6 | |
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business | 11.5 | |
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street | 11 | |
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cinema | 11 | |
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fastener | 10.7 | |
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light | 10.7 | |
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water | 10.7 | |
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windows | 10.6 | |
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facility | 10.5 | |
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buildings | 10.4 | |
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exterior | 10.1 | |
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historic | 10.1 | |
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penal institution | 9.8 | |
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night | 9.8 | |
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new | 9.7 | |
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board | 9.7 | |
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downtown | 9.6 | |
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apartment | 9.6 | |
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institution | 9.5 | |
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library | 9.4 | |
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famous | 9.3 | |
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road | 9 | |
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summer | 9 | |
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athletic facility | 8.9 | |
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signboard | 8.5 | |
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historical | 8.5 | |
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theater | 8.3 | |
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vintage | 8.3 | |
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reflection | 8.1 | |
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restraint | 8.1 | |
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scoreboard | 7.9 | |
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wall | 7.7 | |
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residential | 7.7 | |
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traffic | 7.6 | |
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skyline | 7.6 | |
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estate | 7.6 | |
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ship | 7.6 | |
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tall | 7.5 | |
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car | 7.5 | |
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hall | 7.5 | |
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destination | 7.5 | |
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place | 7.5 | |
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landscape | 7.4 | |
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transport | 7.3 | |
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home | 7.2 | |
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transportation | 7.2 | |
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history | 7.2 | |
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interior | 7.1 | |
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sea | 7 | |
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Google
created on 2019-11-19
White | 96.8 | |
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Black | 96.5 | |
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Photograph | 95 | |
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Black-and-white | 90.3 | |
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Monochrome | 85.7 | |
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Snapshot | 84.3 | |
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Architecture | 76.3 | |
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Monochrome photography | 76.2 | |
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Photography | 75.7 | |
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Room | 71.4 | |
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Vehicle | 56.3 | |
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Building | 55.4 | |
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Window | 53.8 | |
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Style | 53.5 | |
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City | 51.3 | |
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Microsoft
created on 2019-11-19
text | 97.2 | |
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black and white | 92 | |
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street | 90 | |
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monochrome | 61.9 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 9-19 |
Gender | Male, 50.3% |
Surprised | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Happy | 49.5% |
Fear | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.6% |
Feature analysis
Amazon
Person | 99.5% | |
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Text analysis
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