Machine Generated Data
Tags
Amazon
created on 2019-04-06
Clarifai
created on 2018-03-23
Imagga
created on 2018-03-23
Google
created on 2018-03-23
text | 89.9 | |
| ||
picture frame | 72.5 | |
| ||
history | 62.2 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.5% |
Sad | 49.8% |
Happy | 49.7% |
Angry | 49.6% |
Calm | 49.7% |
Disgusted | 49.5% |
Surprised | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50% |
Calm | 49.9% |
Surprised | 49.5% |
Sad | 49.7% |
Confused | 49.6% |
Angry | 49.6% |
Happy | 49.6% |
Disgusted | 49.6% |
Feature analysis
Captions
Microsoft
a vintage photo of a man | 81.3% | |
| ||
an old photo of a man | 80.4% | |
| ||
a vintage photo of a man holding a book | 42.1% | |
|
Text analysis
Amazon

These

work

workinadampulrstrippers

ina

work workinadampulrstrippers ina lamp,unventilated cellar.

pers

lamp,unventilated cellar.

These four strippers
work in a damp, unventilated cellar.

These

four

strippers

work

in

a

damp,

unventilated

cellar.