Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
no person | 97.1 | |
| ||
business | 95.9 | |
| ||
room | 95.5 | |
| ||
exhibition | 93.6 | |
| ||
indoors | 93.6 | |
| ||
medicine | 93.4 | |
| ||
number | 92.8 | |
| ||
hospital | 90.7 | |
| ||
information | 88.8 | |
| ||
paper | 88.4 | |
| ||
people | 88.2 | |
| ||
education | 87.8 | |
| ||
healthcare | 87.3 | |
| ||
industry | 86.4 | |
| ||
presentation | 85.8 | |
| ||
order | 85 | |
| ||
furniture | 83.3 | |
| ||
text | 83 | |
| ||
commerce | 83 | |
| ||
offense | 79.6 | |
|
Imagga
created on 2019-06-07
Google
created on 2019-06-07
Bulletin board | 86.9 | |
| ||
Display board | 80.5 | |
| ||
Font | 68.6 | |
| ||
Paper | 54.3 | |
|
Microsoft
created on 2019-06-07
design | 89.5 | |
| ||
indoor | 85.9 | |
| ||
many | 78.2 | |
| ||
post-it note | 63.1 | |
| ||
handwriting | 62 | |
| ||
book | 53.9 | |
| ||
bunch | 51.7 | |
| ||
various | 42 | |
| ||
several | 29.7 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 14-23 |
Gender | Male, 53.7% |
Angry | 45.1% |
Calm | 54.7% |
Sad | 45.1% |
Confused | 45% |
Disgusted | 45% |
Surprised | 45% |
Happy | 45% |
AWS Rekognition
Age | 17-27 |
Gender | Female, 54.6% |
Sad | 52.5% |
Calm | 46.1% |
Disgusted | 45.3% |
Confused | 45.1% |
Surprised | 45.1% |
Happy | 45.7% |
Angry | 45.2% |
Feature analysis
Text analysis
Amazon
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