Machine Generated Data
Tags
Amazon
created on 2019-05-31
Clarifai
created on 2019-05-31
Imagga
created on 2019-05-31
fence | 70.9 | |
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barrier | 61.7 | |
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obstruction | 37.2 | |
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architecture | 30.9 | |
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sky | 27.4 | |
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structure | 27 | |
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city | 25.8 | |
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gate | 24.8 | |
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turnstile | 23.6 | |
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building | 23.3 | |
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toilet | 22.5 | |
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room | 20.5 | |
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urban | 18.3 | |
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wall | 15.4 | |
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construction | 14.5 | |
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skyline | 14.2 | |
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house | 13.4 | |
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travel | 13.4 | |
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movable barrier | 13.3 | |
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industrial | 12.7 | |
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new | 12.1 | |
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water | 12 | |
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old | 11.8 | |
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bridge | 11.3 | |
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buildings | 11.3 | |
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street | 11 | |
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landmark | 10.8 | |
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tourism | 10.7 | |
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river | 10.7 | |
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landscape | 10.4 | |
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business | 10.3 | |
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town | 10.2 | |
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modern | 9.8 | |
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cityscape | 9.5 | |
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industry | 9.4 | |
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sea | 9.4 | |
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office | 9.2 | |
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summer | 9 | |
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bin | 8.9 | |
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steel | 8.8 | |
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metropolis | 8.8 | |
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skyscraper | 8.6 | |
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clouds | 8.4 | |
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design | 8.4 | |
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beach | 8.4 | |
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wood | 8.3 | |
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ocean | 8.3 | |
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prison | 8.2 | |
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vacation | 8.2 | |
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door | 8 | |
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sunny | 7.8 | |
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cloud | 7.7 | |
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downtown | 7.7 | |
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commercial | 7.5 | |
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famous | 7.4 | |
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ashcan | 7.4 | |
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light | 7.4 | |
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historic | 7.3 | |
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tourist | 7.3 | |
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metal | 7.2 | |
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scenery | 7.2 | |
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financial | 7.1 | |
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container | 7 | |
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Google
created on 2019-05-31
House | 80.2 | |
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Urban area | 75 | |
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Black-and-white | 74.4 | |
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Building | 70.7 | |
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Door | 70.6 | |
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Room | 65.7 | |
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Architecture | 65.5 | |
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Photography | 62.4 | |
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Monochrome | 60.1 | |
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Facade | 59.4 | |
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Landscape | 59.3 | |
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Monochrome photography | 57.8 | |
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Home | 57 | |
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Window | 56.8 | |
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Microsoft
created on 2019-05-31
sky | 82.2 | |
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black and white | 79.8 | |
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white | 60.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 29-45 |
Gender | Female, 50.2% |
Calm | 50.4% |
Disgusted | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Angry | 49.5% |
Feature analysis
Amazon
Person | 99.5% | |
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