Machine Generated Data
Tags
Amazon
created on 2019-06-17
Clarifai
created on 2019-06-17
99.5 | ||
| ||
vintage | 98.4 | |
| ||
people | 97.9 | |
| ||
military | 97.4 | |
| ||
illustration | 96.8 | |
| ||
old | 96.4 | |
| ||
art | 96.1 | |
| ||
watercraft | 95.3 | |
| ||
engraving | 95.2 | |
| ||
warship | 94.8 | |
| ||
war | 94.6 | |
| ||
vehicle | 94.5 | |
| ||
lithograph | 93.7 | |
| ||
sepia pigment | 93.7 | |
| ||
ship | 93.4 | |
| ||
transportation system | 93.2 | |
| ||
retro | 93.1 | |
| ||
sepia | 92.9 | |
| ||
no person | 91.9 | |
| ||
exploration | 90.6 | |
|
Imagga
created on 2019-06-17
Google
created on 2019-06-17
Picture frame | 85.1 | |
| ||
Painting | 72.4 | |
| ||
Vehicle | 70.6 | |
| ||
Art | 65.5 | |
| ||
Antique | 59 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Surprised | 49.6% |
Confused | 49.6% |
Sad | 49.8% |
Calm | 49.8% |
Angry | 49.6% |
Happy | 49.7% |
Feature analysis
Text analysis
Amazon
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