Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18815446/110,369,10,15/full/0/native.jpg)
AWS Rekognition
Age | 27-37 |
Gender | Male, 51.5% |
Happy | 59.5% |
Calm | 18.6% |
Fear | 8.8% |
Sad | 5.3% |
Angry | 2.7% |
Confused | 2% |
Disgusted | 2% |
Surprised | 1.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18815446/214,434,12,16/full/0/native.jpg)
AWS Rekognition
Age | 21-29 |
Gender | Male, 85.3% |
Calm | 88.7% |
Confused | 2.1% |
Fear | 2.1% |
Disgusted | 1.9% |
Sad | 1.8% |
Surprised | 1.6% |
Happy | 1.1% |
Angry | 0.6% |
![](https://ids.lib.harvard.edu/ids/iiif/18815446/441,392,11,13/full/0/native.jpg)
AWS Rekognition
Age | 22-30 |
Gender | Female, 99.9% |
Calm | 68.1% |
Fear | 17.1% |
Happy | 6.5% |
Disgusted | 3.4% |
Angry | 1.7% |
Surprised | 1.5% |
Sad | 1.3% |
Confused | 0.3% |
Feature analysis
Amazon
Person | 99.5% | |
Categories
Imagga
cars vehicles | 52.1% | |
beaches seaside | 36.6% | |
nature landscape | 9.6% | |
Captions
Microsoft
created on 2022-01-15
a vintage photo of a person | 88.5% | |
a vintage photo of a train | 62.8% | |
an old photo of a person | 62.7% | |