Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18832019/469,331,129,153/full/0/native.jpg)
AWS Rekognition
Age | 60-90 |
Gender | Male, 99.7% |
Happy | 1.5% |
Sad | 43.4% |
Disgusted | 0.9% |
Angry | 4% |
Calm | 43.1% |
Surprised | 1.2% |
Confused | 5.8% |
![](https://ids.lib.harvard.edu/ids/iiif/18832019/454,364,107,107/full/0/native.jpg)
Microsoft Cognitive Services
Age | 61 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/18832019/442,312,162,188/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 47.4% | |
food drinks | 26.3% | |
interior objects | 10.9% | |
pets animals | 6.8% | |
nature landscape | 4.7% | |
text visuals | 2% | |
Captions
Microsoft
created on 2019-03-22
a screen shot of a social media post | 53.8% | |