Machine Generated Data
Tags
Amazon
created on 2019-11-10
Clarifai
created on 2019-11-10
text | 98.7 | |
| ||
98.4 | ||
| ||
retro | 97.8 | |
| ||
antique | 97.7 | |
| ||
vintage | 97.3 | |
| ||
document | 97.1 | |
| ||
old | 96.9 | |
| ||
paper | 96 | |
| ||
art | 95.1 | |
| ||
no person | 94.8 | |
| ||
illustration | 94.3 | |
| ||
wear | 94.3 | |
| ||
ornate | 94.3 | |
| ||
ancient | 93.5 | |
| ||
manuscript | 92.7 | |
| ||
margin | 91.6 | |
| ||
book bindings | 90.6 | |
| ||
decoration | 90.2 | |
| ||
picture frame | 90.2 | |
| ||
sign | 90.1 | |
|
Imagga
created on 2019-11-10
Google
created on 2019-11-10
Text | 90.3 | |
| ||
Paper | 59.2 | |
| ||
Paper product | 53.3 | |
|
Microsoft
created on 2019-11-10
text | 99.9 | |
| ||
handwriting | 97.7 | |
| ||
letter | 94.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 21-33 |
Gender | Female, 52.5% |
Surprised | 46.3% |
Sad | 45.2% |
Fear | 45.8% |
Disgusted | 45.3% |
Calm | 49.7% |
Confused | 45.4% |
Angry | 46.3% |
Happy | 46% |
AWS Rekognition
Age | 4-12 |
Gender | Male, 54.7% |
Confused | 45% |
Disgusted | 45% |
Surprised | 45% |
Happy | 45.1% |
Sad | 45.1% |
Angry | 45% |
Fear | 45% |
Calm | 54.8% |
Feature analysis
Amazon
Person | 75.2% | |
|
Text analysis
Amazon
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