Machine Generated Data
Tags
Amazon
created on 2019-05-30
Collage | 99.7 | |
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Advertisement | 99.7 | |
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Poster | 99.7 | |
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Building | 87.2 | |
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Architecture | 75.8 | |
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Urban | 62.3 | |
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Clarifai
created on 2019-05-30
people | 99.7 | |
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monochrome | 99.1 | |
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no person | 98.6 | |
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vehicle | 98.3 | |
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one | 98.3 | |
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furniture | 97.7 | |
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watercraft | 97.2 | |
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adult | 97.1 | |
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group | 97 | |
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96.6 | ||
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room | 96.1 | |
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home | 94.9 | |
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street | 94.8 | |
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many | 94.4 | |
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two | 93.4 | |
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military | 93.3 | |
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man | 93.2 | |
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transportation system | 92.9 | |
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architecture | 92.2 | |
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house | 90.5 | |
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Imagga
created on 2019-05-30
equipment | 40.9 | |
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electronic equipment | 33.8 | |
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device | 22.8 | |
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machine | 19.4 | |
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old | 18.8 | |
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central processing unit | 18.3 | |
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cassette player | 15.8 | |
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metal | 15.3 | |
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industry | 13.7 | |
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printer | 13.4 | |
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black | 13.2 | |
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home appliance | 12.7 | |
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telephone | 12.5 | |
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business | 12.1 | |
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box | 12.1 | |
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technology | 11.9 | |
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house | 11.7 | |
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home | 11.2 | |
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kitchen appliance | 10.9 | |
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open | 10.8 | |
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camera | 10.4 | |
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car | 10.3 | |
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appliance | 10 | |
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wood | 10 | |
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industrial | 10 | |
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vintage | 9.9 | |
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pay-phone | 9.5 | |
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work | 9.4 | |
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service | 9.3 | |
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mechanism | 9.1 | |
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close | 9.1 | |
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retro | 9 | |
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transportation | 9 | |
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digital | 8.9 | |
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object | 8.8 | |
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paper | 8.6 | |
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vehicle | 8.5 | |
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energy | 8.4 | |
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electronic | 8.4 | |
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dark | 8.3 | |
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economy | 8.3 | |
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container | 8.3 | |
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window | 8.2 | |
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computer | 8.2 | |
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closeup | 8.1 | |
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lock | 8 | |
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steel | 8 | |
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wooden | 7.9 | |
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empty | 7.7 | |
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gas | 7.7 | |
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money | 7.7 | |
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power | 7.6 | |
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memory | 7.4 | |
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aged | 7.2 | |
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silver | 7.1 | |
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microwave | 7.1 | |
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Google
created on 2019-05-30
Photographic paper | 85 | |
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Snapshot | 83.6 | |
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Room | 76.5 | |
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Architecture | 65.5 | |
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House | 63.1 | |
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Photography | 62.4 | |
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Black-and-white | 56.4 | |
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Art | 50.2 | |
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Microsoft
created on 2019-05-30
black and white | 78.8 | |
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house | 72.6 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18739371/271,546,54,51/full/0/native.jpg)
AWS Rekognition
Age | 16-27 |
Gender | Male, 71.2% |
Confused | 5.2% |
Disgusted | 1.1% |
Angry | 3.5% |
Happy | 1.2% |
Calm | 30.2% |
Sad | 56% |
Surprised | 2.7% |
Categories
Imagga
paintings art | 62% | |
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cars vehicles | 33.8% | |
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streetview architecture | 2.1% | |
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interior objects | 1.5% | |
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Captions
Microsoft
created on 2019-05-30
a black and white photo of a person | 29% | |
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a black and white photo | 26.3% | |
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