Machine Generated Data
Tags
Amazon
created on 2019-11-19
Brick | 98.3 | |
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Vehicle | 88.4 | |
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Motorcycle | 88.4 | |
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Transportation | 88.4 | |
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Door | 86.2 | |
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Vespa | 84.1 | |
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Motor Scooter | 84.1 | |
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Moped | 77.8 | |
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Scooter | 64.1 | |
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Wall | 56.6 | |
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Spoke | 55.6 | |
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Machine | 55.6 | |
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Countryside | 55.3 | |
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Nature | 55.3 | |
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Outdoors | 55.3 | |
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Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
barrow | 100 | |
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wheeled vehicle | 100 | |
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handcart | 100 | |
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vehicle | 71.2 | |
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old | 42.5 | |
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wall | 39.4 | |
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conveyance | 38 | |
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building | 34.4 | |
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architecture | 29.7 | |
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door | 25.7 | |
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stone | 24.5 | |
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ancient | 22.5 | |
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window | 22 | |
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house | 20.9 | |
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wood | 19.2 | |
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brick | 17.9 | |
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city | 17.5 | |
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antique | 17.3 | |
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aged | 17.2 | |
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street | 15.7 | |
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town | 14.8 | |
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grunge | 13.6 | |
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travel | 13.4 | |
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exterior | 12.9 | |
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structure | 12.4 | |
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wooden | 12.3 | |
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texture | 11.8 | |
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abandoned | 11.7 | |
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history | 11.6 | |
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weathered | 11.4 | |
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construction | 11.1 | |
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vintage | 10.8 | |
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outdoors | 10.5 | |
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empty | 10.3 | |
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rough | 10 | |
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color | 10 | |
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dirty | 9.9 | |
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retro | 9.8 | |
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rural | 9.7 | |
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metal | 9.7 | |
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decay | 9.7 | |
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broken | 9.6 | |
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urban | 9.6 | |
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rustic | 9.6 | |
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medieval | 9.6 | |
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cold | 9.5 | |
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dark | 9.2 | |
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historic | 9.2 | |
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detail | 8.9 | |
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home | 8.8 | |
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village | 8.7 | |
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culture | 8.5 | |
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grungy | 8.5 | |
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tree | 8.5 | |
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frame | 8.3 | |
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traditional | 8.3 | |
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snow | 8.2 | |
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style | 8.2 | |
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brown | 8.1 | |
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night | 8 | |
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scene | 7.8 | |
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gate | 7.8 | |
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arch | 7.8 | |
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entrance | 7.7 | |
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rust | 7.7 | |
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architectural | 7.7 | |
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windows | 7.7 | |
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damaged | 7.6 | |
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tourism | 7.4 | |
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light | 7.4 | |
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tourist | 7.3 | |
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paint | 7.2 | |
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road | 7.2 | |
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bench | 7 | |
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Google
created on 2019-11-19
Monochrome | 70.2 | |
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House | 68.3 | |
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Room | 65.7 | |
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Building | 63.7 | |
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Vehicle | 62.2 | |
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Black-and-white | 56.4 | |
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Car | 50.1 | |
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Microsoft
created on 2019-11-19
building | 99.3 | |
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black and white | 94.7 | |
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black | 70.5 | |
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monochrome | 69.3 | |
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white | 62.2 | |
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old | 52.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 4-14 |
Gender | Male, 93.1% |
Calm | 0.8% |
Surprised | 4.1% |
Sad | 5.3% |
Fear | 71.6% |
Angry | 11.8% |
Disgusted | 1.1% |
Confused | 2.4% |
Happy | 2.8% |
Feature analysis
Amazon
Door | 86.2% | |
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