Machine Generated Data
Tags
Amazon
created on 2019-11-15
Clarifai
created on 2019-11-15
Imagga
created on 2019-11-15
pay-phone | 28.6 | |
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barbershop | 25.8 | |
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shop | 25.3 | |
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man | 23.5 | |
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telephone | 22.3 | |
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equipment | 20.9 | |
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mercantile establishment | 18.6 | |
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electronic equipment | 17.7 | |
| ||
industrial | 16.3 | |
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male | 16.3 | |
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industry | 14.5 | |
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people | 14.5 | |
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person | 14.2 | |
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painter | 14 | |
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old | 13.9 | |
| ||
work | 13.3 | |
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factory | 12.5 | |
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worker | 12.4 | |
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place of business | 12.4 | |
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white goods | 11.9 | |
| ||
steel | 11.5 | |
| ||
building | 11.4 | |
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metal | 11.3 | |
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machine | 11.1 | |
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adult | 11 | |
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home | 10.4 | |
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architecture | 10.1 | |
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vintage | 9.9 | |
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device | 9.8 | |
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human | 9.7 | |
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interior | 9.7 | |
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working | 9.7 | |
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skill | 9.6 | |
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sculpture | 9.6 | |
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room | 9.5 | |
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home appliance | 9.2 | |
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safety | 9.2 | |
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inside | 9.2 | |
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mask | 9.2 | |
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black | 9 | |
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one | 9 | |
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job | 8.8 | |
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indoors | 8.8 | |
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light | 8.7 | |
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statue | 8.6 | |
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business | 8.5 | |
| ||
city | 8.3 | |
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street | 8.3 | |
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window | 8.2 | |
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refrigerator | 8.2 | |
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urban | 7.9 | |
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men | 7.7 | |
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sitting | 7.7 | |
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energy | 7.6 | |
| ||
power | 7.6 | |
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house | 7.5 | |
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iron | 7.5 | |
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television | 7.4 | |
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religion | 7.2 | |
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art | 7.2 | |
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design | 7.1 | |
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structure | 7.1 | |
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to | 7.1 | |
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appliance | 7 | |
|
Google
created on 2019-11-15
Photograph | 95 | |
| ||
Snapshot | 84.1 | |
| ||
Photography | 62.4 | |
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Artisan | 54.8 | |
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Shoemaking | 50.4 | |
|
Microsoft
created on 2019-11-15
text | 99.9 | |
| ||
person | 99.5 | |
| ||
clothing | 98.4 | |
| ||
man | 93.6 | |
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black and white | 90 | |
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newspaper | 63.4 | |
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monochrome | 58.9 | |
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street | 57.3 | |
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footwear | 55 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-37 |
Gender | Male, 97% |
Angry | 86.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Confused | 1% |
Surprised | 0.1% |
Calm | 2.6% |
Fear | 0.5% |
Sad | 9.4% |
Feature analysis
Text analysis
Amazon
850-600
850-600
850-600