Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18814527/149,333,9,11/full/0/native.jpg)
AWS Rekognition
Age | 16-22 |
Gender | Female, 52.5% |
Calm | 62.4% |
Sad | 16.2% |
Happy | 7.4% |
Angry | 6.1% |
Confused | 3% |
Fear | 1.9% |
Disgusted | 1.6% |
Surprised | 1.3% |
![](https://ids.lib.harvard.edu/ids/iiif/18814527/162,430,10,12/full/0/native.jpg)
AWS Rekognition
Age | 23-31 |
Gender | Male, 83.5% |
Happy | 93.6% |
Sad | 2.9% |
Calm | 1.1% |
Angry | 0.7% |
Disgusted | 0.7% |
Fear | 0.5% |
Surprised | 0.4% |
Confused | 0.2% |
Feature analysis
Categories
Imagga
cars vehicles | 52.9% | |
text visuals | 12.4% | |
food drinks | 11.5% | |
events parties | 4.9% | |
interior objects | 4.1% | |
beaches seaside | 3.9% | |
streetview architecture | 3.7% | |
paintings art | 3.6% | |
nature landscape | 2% | |
Captions
Microsoft
created on 2022-01-15
a vintage photo of a group of people posing for the camera | 70.2% | |
a vintage photo of a group of people posing for a picture | 70.1% | |
a vintage photo of a person flying through the air | 57.6% | |