Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18826018/973,471,6,8/full/0/native.jpg)
AWS Rekognition
Age | 24-34 |
Gender | Female, 72.9% |
Calm | 74.8% |
Sad | 18.6% |
Happy | 2.4% |
Angry | 1.3% |
Disgusted | 1.1% |
Confused | 1% |
Fear | 0.4% |
Surprised | 0.3% |
![](https://ids.lib.harvard.edu/ids/iiif/18826018/880,482,12,14/full/0/native.jpg)
AWS Rekognition
Age | 45-53 |
Gender | Male, 99.4% |
Happy | 90.6% |
Sad | 8.4% |
Calm | 0.2% |
Angry | 0.2% |
Surprised | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |
Confused | 0.1% |
Feature analysis
Amazon
Person | 98.3% | |
Categories
Imagga
cars vehicles | 75.6% | |
streetview architecture | 7.3% | |
beaches seaside | 5.4% | |
nature landscape | 5% | |
text visuals | 3.7% | |
interior objects | 1% | |
paintings art | 1% | |
Captions
Microsoft
created on 2022-01-15
a vintage photo of a building | 91.6% | |
a vintage photo of an old building | 89% | |
a vintage photo of a large building | 88.8% | |