Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43162314/260,328,70,100/full/0/native.jpg)
AWS Rekognition
Age | 22-30 |
Gender | Female, 90.7% |
Calm | 48.8% |
Sad | 21% |
Happy | 16.7% |
Surprised | 12.4% |
Fear | 7.5% |
Confused | 2.1% |
Disgusted | 1.2% |
Angry | 1.2% |
![](https://ids.lib.harvard.edu/ids/iiif/43162314/806,315,46,82/full/0/native.jpg)
AWS Rekognition
Age | 21-29 |
Gender | Female, 92.1% |
Happy | 71.4% |
Calm | 19.9% |
Surprised | 7.4% |
Fear | 6.1% |
Sad | 4% |
Confused | 0.5% |
Disgusted | 0.5% |
Angry | 0.4% |
Feature analysis
Categories
Imagga
streetview architecture | 78.5% | |
interior objects | 5.7% | |
paintings art | 4.8% | |
text visuals | 4.4% | |
cars vehicles | 4% | |
events parties | 1.4% | |
Captions
Microsoft
created on 2018-05-10
a black and white photo of a train | 57.4% | |
an old black and white photo of a train | 53.4% | |
a vintage photo of a train | 53.3% | |