Machine Generated Data
Tags
Amazon
created on 2019-11-16
Light | 99.7 | |
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Person | 99.4 | |
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Human | 99.4 | |
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Traffic Light | 97.9 | |
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Accessories | 88.1 | |
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Accessory | 88.1 | |
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Glasses | 88.1 | |
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Face | 83.9 | |
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Photography | 62.7 | |
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Photo | 62.7 | |
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Portrait | 62.7 | |
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Clarifai
created on 2019-11-16
people | 99.8 | |
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one | 99.1 | |
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adult | 97.8 | |
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man | 97.2 | |
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vehicle | 95.7 | |
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wear | 95.3 | |
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portrait | 93.1 | |
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transportation system | 90 | |
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offense | 89.5 | |
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military | 89 | |
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war | 86 | |
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watercraft | 85.4 | |
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two | 83.2 | |
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aircraft | 80.7 | |
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backlit | 80.6 | |
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administration | 79 | |
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weapon | 78.8 | |
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monochrome | 78.2 | |
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music | 77 | |
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police | 75.9 | |
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Imagga
created on 2019-11-16
semaphore | 40 | |
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apparatus | 30.4 | |
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building | 28.3 | |
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sky | 26.8 | |
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equipment | 26.5 | |
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architecture | 24.2 | |
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lamp | 22.6 | |
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old | 21.6 | |
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wire | 21.5 | |
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city | 19.9 | |
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street | 16.6 | |
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house | 15.9 | |
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urban | 14.8 | |
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device | 14.3 | |
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wall | 13.8 | |
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cloud | 13.8 | |
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industry | 13.7 | |
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light | 13.5 | |
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landscape | 13.4 | |
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structure | 13.3 | |
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bell | 13 | |
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town | 13 | |
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dark | 12.5 | |
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outdoor | 12.2 | |
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man | 12.1 | |
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industrial | 11.8 | |
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pollution | 11.5 | |
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black | 11.4 | |
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travel | 11.3 | |
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spotlight | 11 | |
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cityscape | 10.4 | |
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construction | 10.3 | |
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clouds | 10.1 | |
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power | 10.1 | |
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people | 10 | |
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danger | 10 | |
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dirty | 9.9 | |
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acoustic device | 9.9 | |
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environment | 9.9 | |
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factory | 9.6 | |
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high | 9.5 | |
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ancient | 9.5 | |
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symbol | 9.4 | |
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energy | 9.2 | |
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male | 9.2 | |
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exterior | 9.2 | |
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global | 9.1 | |
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sign | 9 | |
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tower | 8.9 | |
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person | 8.9 | |
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steel | 8.8 | |
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source of illumination | 8.7 | |
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silhouette | 8.3 | |
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metal | 8 | |
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water | 8 | |
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clear | 7.8 | |
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day | 7.8 | |
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signaling device | 7.8 | |
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disaster | 7.8 | |
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cold | 7.7 | |
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evening | 7.5 | |
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famous | 7.4 | |
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technology | 7.4 | |
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cable | 7.4 | |
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vacation | 7.4 | |
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historic | 7.3 | |
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sun | 7.2 | |
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scenery | 7.2 | |
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home | 7.2 | |
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work | 7.1 | |
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sea | 7 | |
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Google
created on 2019-11-16
White | 97.1 | |
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Black | 96.8 | |
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Photograph | 96.2 | |
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Black-and-white | 94.5 | |
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Monochrome photography | 91.7 | |
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Monochrome | 86.5 | |
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Snapshot | 86.3 | |
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Photography | 80.4 | |
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Human | 74.7 | |
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Sky | 73.3 | |
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Stock photography | 67.6 | |
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Cloud | 66.4 | |
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Tints and shades | 59.2 | |
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Style | 57.4 | |
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Window | 53.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 22-34 |
Gender | Male, 91% |
Sad | 0.9% |
Happy | 84.7% |
Fear | 0.7% |
Calm | 6.2% |
Angry | 1.2% |
Disgusted | 1% |
Confused | 3.7% |
Surprised | 1.6% |

Microsoft Cognitive Services
Age | 27 |
Gender | Male |
Feature analysis
Amazon
Person
Traffic Light
Glasses
Categories
Imagga
events parties | 89.5% | |
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streetview architecture | 2.7% | |
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food drinks | 2.6% | |
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text visuals | 1.8% | |
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Captions
Microsoft
created on 2019-11-16
a black and white photo of a man | 92.3% | |
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a black and white photo of a train | 73.7% | |
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an old black and white photo of a man | 73.6% | |
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