Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/32640445/277,342,168,249/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Male, 66.1% |
Angry | 7.7% |
Calm | 64.1% |
Happy | 3.6% |
Disgusted | 13.3% |
Surprised | 4.5% |
Sad | 2.5% |
Confused | 4.3% |
![](https://ids.lib.harvard.edu/ids/iiif/32640445/874,299,119,130/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 58.8% |
Angry | 1.8% |
Calm | 71.6% |
Happy | 1.6% |
Disgusted | 1.3% |
Surprised | 2.1% |
Sad | 19% |
Confused | 2.7% |
![](https://ids.lib.harvard.edu/ids/iiif/32640445/294,371,190,190/full/0/native.jpg)
Microsoft Cognitive Services
Age | 54 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/32640445/205,248,305,355/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 60.9% | |
pets animals | 21.1% | |
streetview architecture | 13.3% | |
people portraits | 2.5% | |
nature landscape | 1.2% | |
interior objects | 0.8% | |
food drinks | 0.1% | |
text visuals | 0.1% | |