Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/14005283/395,219,82,103/full/0/native.jpg)
AWS Rekognition
Age | 18-30 |
Gender | Female, 99.2% |
Calm | 89.9% |
Sad | 8.7% |
Happy | 0.1% |
Angry | 0.3% |
Surprised | 0.2% |
Confused | 0.5% |
Disgusted | 0.1% |
Fear | 0.2% |
![](https://ids.lib.harvard.edu/ids/iiif/14005283/387,239,84,84/full/0/native.jpg)
Microsoft Cognitive Services
Age | 27 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/14005283/375,190,128,148/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 47.4% | |
paintings art | 24.7% | |
people portraits | 11.1% | |
food drinks | 7.5% | |
interior objects | 3.6% | |
pets animals | 2.3% | |
text visuals | 2.1% | |
Captions
Microsoft
created on 2019-11-16
a black and white photo of a person | 68.2% | |
a person in a white uniform | 64.5% | |
a black and white photo of a person | 57.3% | |