Machine Generated Data
Tags
Amazon
created on 2019-05-31
Clarifai
created on 2019-05-31
paper | 99.2 | |
| ||
document | 99 | |
| ||
manuscript | 98 | |
| ||
administration | 97.2 | |
| ||
text | 97.2 | |
| ||
old | 95.3 | |
| ||
no person | 94.9 | |
| ||
page | 94.5 | |
| ||
93.9 | ||
| ||
retro | 92.3 | |
| ||
snap | 91.5 | |
| ||
vintage | 90.9 | |
| ||
government | 90.5 | |
| ||
people | 88.1 | |
| ||
antique | 86.2 | |
| ||
card | 85.3 | |
| ||
letter | 84.1 | |
| ||
ancient | 82.4 | |
| ||
official | 80 | |
| ||
book bindings | 79.1 | |
|
Imagga
created on 2019-05-31
Google
created on 2019-05-31
Microsoft
created on 2019-05-31
drawing | 92.1 | |
| ||
cartoon | 91.3 | |
| ||
handwriting | 89.3 | |
| ||
sketch | 71.5 | |
| ||
person | 58.9 | |
| ||
illustration | 54.7 | |
| ||
book | 52.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 4-7 |
Gender | Female, 50.4% |
Angry | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Angry | 49.6% |
Surprised | 49.6% |
Calm | 49.8% |
Sad | 49.9% |
Confused | 49.6% |
Disgusted | 49.5% |
Happy | 49.6% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Happy | 49.5% |
Calm | 49.6% |
Angry | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |
Sad | 50.2% |
Disgusted | 49.5% |
Feature analysis
Text analysis
Amazon
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