Machine Generated Data
Tags
Amazon
created on 2019-11-15
Clarifai
created on 2019-11-15
people | 99.7 | |
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street | 99.4 | |
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monochrome | 98.7 | |
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man | 96.7 | |
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adult | 95.7 | |
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woman | 94.7 | |
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group together | 93.5 | |
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black and white | 92.7 | |
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group | 92.6 | |
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wedding | 91.5 | |
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road | 87.7 | |
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city | 86.9 | |
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child | 85.1 | |
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shadow | 84.4 | |
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two | 84.2 | |
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administration | 83.2 | |
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many | 82.2 | |
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transportation system | 81.9 | |
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analogue | 81.1 | |
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one | 80.5 | |
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Imagga
created on 2019-11-15
sidewalk | 23.2 | |
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sliding door | 22.5 | |
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city | 21.6 | |
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door | 21.1 | |
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silhouette | 20.7 | |
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people | 20.1 | |
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urban | 19.2 | |
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man | 18.1 | |
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dark | 17.5 | |
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light | 16.7 | |
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street | 15.6 | |
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walking | 15.2 | |
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walk | 14.3 | |
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travel | 14.1 | |
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sun | 13.7 | |
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movable barrier | 13.6 | |
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passenger | 12.9 | |
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black | 12.6 | |
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sunset | 12.6 | |
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window | 12.4 | |
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swing | 11.9 | |
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world | 11.8 | |
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transportation | 11.7 | |
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adult | 11.6 | |
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person | 11 | |
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architecture | 10.9 | |
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sky | 10.8 | |
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tourism | 10.7 | |
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couple | 10.4 | |
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plaything | 10.4 | |
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barrier | 10.3 | |
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child | 10.2 | |
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water | 10 | |
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mechanical device | 10 | |
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building | 9.9 | |
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night | 9.8 | |
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old | 9.8 | |
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scene | 9.5 | |
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evening | 9.3 | |
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transport | 9.1 | |
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outdoors | 9.1 | |
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dawn | 8.7 | |
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male | 8.6 | |
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dusk | 8.6 | |
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wall | 8.5 | |
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business | 8.5 | |
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beach | 8.4 | |
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seller | 8.4 | |
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landscape | 8.2 | |
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road | 8.1 | |
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men | 7.7 | |
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journey | 7.5 | |
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ocean | 7.5 | |
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mechanism | 7.4 | |
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pedestrian | 7.4 | |
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alone | 7.3 | |
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tourist | 7.2 | |
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dirty | 7.2 | |
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summer | 7.1 | |
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Google
created on 2019-11-15
Photograph | 97.4 | |
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Black-and-white | 94.1 | |
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Snapshot | 89.3 | |
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Photographic paper | 85.3 | |
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Photography | 83.4 | |
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Monochrome photography | 76.2 | |
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Monochrome | 75.8 | |
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Stock photography | 71.4 | |
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Tree | 68.7 | |
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Room | 65.7 | |
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Picture frame | 57.9 | |
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Style | 51 | |
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Microsoft
created on 2019-11-15
street | 99.4 | |
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text | 98.1 | |
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black and white | 94.1 | |
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clothing | 88.9 | |
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person | 85.5 | |
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city | 85.5 | |
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tree | 83.8 | |
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monochrome | 82.6 | |
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footwear | 66.7 | |
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people | 65.5 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-46 |
Gender | Female, 50.2% |
Angry | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Fear | 49.5% |
Calm | 49.5% |
Sad | 50.4% |
Happy | 49.5% |
Feature analysis
Amazon
Person | 99.5% | |
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