Machine Generated Data
Tags
Amazon
created on 2019-05-30
Clarifai
created on 2019-05-30
water | 96.5 | |
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no person | 95 | |
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monochrome | 92.7 | |
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architecture | 92.6 | |
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river | 92.2 | |
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modern | 91.9 | |
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street | 91.9 | |
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city | 91.8 | |
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industry | 91.6 | |
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building | 91.3 | |
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technology | 90.7 | |
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reflection | 90.4 | |
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people | 89.2 | |
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sea | 89 | |
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urban | 87.9 | |
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pier | 87.8 | |
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environment | 87.4 | |
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light | 86.8 | |
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lake | 86.6 | |
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house | 86.6 | |
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Imagga
created on 2019-05-30
structure | 31.8 | |
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water | 28.7 | |
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railing | 27.6 | |
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balcony | 27.5 | |
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river | 23.2 | |
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sky | 22.9 | |
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city | 21.6 | |
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landscape | 20.8 | |
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sea | 20.3 | |
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shopping cart | 20.1 | |
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vacation | 18.8 | |
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travel | 18.3 | |
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house | 17.6 | |
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architecture | 17.5 | |
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billboard | 17.1 | |
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handcart | 16.1 | |
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ocean | 16 | |
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bridge | 15.8 | |
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beach | 15.4 | |
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clouds | 15.2 | |
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tree | 14.8 | |
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wheeled vehicle | 14.5 | |
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summer | 14.2 | |
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boat | 14 | |
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town | 13.9 | |
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chair | 13.5 | |
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dam | 13.3 | |
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signboard | 13.1 | |
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barrier | 13.1 | |
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building | 13 | |
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holiday | 12.9 | |
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tourism | 12.4 | |
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marina | 12.1 | |
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patio | 11.7 | |
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scenic | 11.4 | |
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scene | 11.3 | |
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lake | 11.2 | |
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outdoor | 10.7 | |
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urban | 10.5 | |
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area | 10.5 | |
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weather | 10.4 | |
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cloud | 10.3 | |
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seat | 10.3 | |
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coast | 9.9 | |
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trees | 9.8 | |
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pier | 9.6 | |
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sunny | 9.5 | |
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fence | 9.5 | |
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day | 9.4 | |
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island | 9.2 | |
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container | 9.1 | |
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support | 9.1 | |
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scenery | 9 | |
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obstruction | 9 | |
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rural | 8.8 | |
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sand | 8.7 | |
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harbor | 8.7 | |
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hill | 8.4 | |
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street | 8.3 | |
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home | 8 | |
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grass | 7.9 | |
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dock | 7.8 | |
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port | 7.7 | |
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winter | 7.7 | |
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waterfront | 7.6 | |
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relax | 7.6 | |
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cityscape | 7.6 | |
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destination | 7.5 | |
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environment | 7.4 | |
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reflection | 7.3 | |
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sun | 7.3 | |
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device | 7.2 | |
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shore | 7.2 | |
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season | 7 | |
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Google
created on 2019-05-30
Architecture | 72.6 | |
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Building | 68.2 | |
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Room | 65.7 | |
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Black-and-white | 56.4 | |
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House | 53.7 | |
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Microsoft
created on 2019-05-30
black and white | 93.8 | |
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sky | 66.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 38-59 |
Gender | Male, 50.4% |
Surprised | 49.5% |
Sad | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Calm | 50.2% |
Happy | 49.5% |
Confused | 49.5% |
Feature analysis
Amazon
Person | 97.5% | |
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