Machine Generated Data
Tags
Amazon
created on 2019-11-16
Human | 99 | |
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Person | 99 | |
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Person | 93 | |
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Clothing | 83.5 | |
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Apparel | 83.5 | |
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Person | 76.9 | |
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Machine | 76.8 | |
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Building | 73.5 | |
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Boat | 69.2 | |
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Vehicle | 69.2 | |
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Transportation | 69.2 | |
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Wood | 66.7 | |
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Banister | 64.4 | |
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Handrail | 64.4 | |
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Evening Dress | 61.4 | |
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Fashion | 61.4 | |
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Gown | 61.4 | |
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Robe | 61.4 | |
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Tire | 60.2 | |
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Car Wheel | 60.2 | |
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Wheel | 60.2 | |
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Helmet | 57.6 | |
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Hardhat | 57.6 | |
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Factory | 57.2 | |
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Clarifai
created on 2019-11-16
people | 99.2 | |
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watercraft | 97.2 | |
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vehicle | 96.2 | |
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transportation system | 89.6 | |
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no person | 89.1 | |
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military | 88.6 | |
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administration | 88.1 | |
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group together | 88 | |
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adult | 87.9 | |
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monochrome | 87.3 | |
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ship | 86.2 | |
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group | 86.1 | |
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man | 85.6 | |
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war | 85 | |
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one | 83.4 | |
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water | 79.1 | |
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aircraft | 78.3 | |
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warship | 78.2 | |
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leader | 77.8 | |
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wear | 75.3 | |
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Imagga
created on 2019-11-16
television | 34.4 | |
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sky | 33.8 | |
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power | 26 | |
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industry | 25.6 | |
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equipment | 25.5 | |
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electricity | 25.5 | |
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wire | 25.5 | |
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broadcasting | 24.1 | |
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cable | 23.9 | |
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industrial | 22.7 | |
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ship | 22.2 | |
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tower | 21.5 | |
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high | 20.8 | |
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electric | 20.6 | |
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voltage | 20.6 | |
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energy | 20.2 | |
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electrical | 19.2 | |
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silhouette | 18.2 | |
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boat | 18.1 | |
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telecommunication | 18 | |
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wires | 16.7 | |
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cables | 16.6 | |
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supply | 15.4 | |
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electronic equipment | 15.1 | |
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tall | 15.1 | |
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line | 14.8 | |
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lines | 14.4 | |
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steel | 14.1 | |
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structure | 13.9 | |
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metal | 13.7 | |
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sunset | 13.5 | |
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city | 13.3 | |
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transformer | 13.1 | |
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pole | 12.8 | |
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pylon | 12.8 | |
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vessel | 12.7 | |
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clouds | 12.7 | |
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technology | 12.6 | |
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sea | 12.5 | |
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urban | 12.2 | |
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rigging | 12.2 | |
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water | 12 | |
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medium | 12 | |
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amplifier | 11.3 | |
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danger | 10 | |
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environment | 9.9 | |
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station | 9.7 | |
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construction | 9.4 | |
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antenna | 9.4 | |
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gear | 9.2 | |
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crane | 9.1 | |
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old | 9.1 | |
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mast | 8.8 | |
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current | 8.8 | |
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yacht | 8.8 | |
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device | 8.6 | |
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engineering | 8.6 | |
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bridge | 8.5 | |
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ocean | 8.3 | |
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transport | 8.2 | |
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outdoors | 8.2 | |
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landscape | 8.2 | |
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architecture | 7.8 | |
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sail | 7.8 | |
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travel | 7.7 | |
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port | 7.7 | |
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dusk | 7.6 | |
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building | 7.6 | |
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wood | 7.5 | |
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global | 7.3 | |
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sun | 7.2 | |
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summer | 7.1 | |
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Google
created on 2019-11-16
Photograph | 95 | |
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Snapshot | 83.6 | |
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Photography | 70.6 | |
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Black-and-white | 68.3 | |
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Stock photography | 64 | |
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Window | 59.1 | |
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Vehicle | 56.3 | |
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Monochrome | 54.4 | |
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Microsoft
created on 2019-11-16
ship | 95.4 | |
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black and white | 87.4 | |
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text | 83.8 | |
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watercraft | 68 | |
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old | 67.5 | |
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boat | 65.5 | |
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sky | 53.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 48-66 |
Gender | Female, 50.4% |
Angry | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 49.5% |
Calm | 50.5% |
Surprised | 49.5% |
Confused | 49.5% |
Fear | 49.5% |