Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/43161335/674,237,156,193/full/0/native.jpg)
AWS Rekognition
Age | 36-44 |
Gender | Male, 99.8% |
Sad | 98.1% |
Calm | 29% |
Confused | 9.1% |
Surprised | 7.1% |
Fear | 6.7% |
Angry | 1.6% |
Disgusted | 1.3% |
Happy | 1% |
![](https://ids.lib.harvard.edu/ids/iiif/43161335/274,274,74,65/full/0/native.jpg)
AWS Rekognition
Age | 35-43 |
Gender | Male, 99.1% |
Calm | 98.3% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.3% |
Happy | 0.4% |
Angry | 0.3% |
Disgusted | 0.2% |
Confused | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/43161335/638,269,163,163/full/0/native.jpg)
Microsoft Cognitive Services
Age | 73 |
Gender | Male |
Feature analysis
Categories
Imagga
paintings art | 47.5% | |
streetview architecture | 22.3% | |
interior objects | 16.3% | |
food drinks | 7.6% | |
text visuals | 4% | |
Captions
Microsoft
created on 2018-05-10
a black and white photo of a man | 83.7% | |
an old photo of a man | 83.6% | |
a man standing in front of a building | 80.4% | |