Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/10447443/125,223,9,13/full/0/native.jpg)
AWS Rekognition
Age | 14-22 |
Gender | Male, 88.4% |
Sad | 96.8% |
Calm | 26.5% |
Angry | 9.5% |
Fear | 7.2% |
Surprised | 6.7% |
Disgusted | 4% |
Confused | 3.6% |
Happy | 1.6% |
![](https://ids.lib.harvard.edu/ids/iiif/10447443/594,449,11,15/full/0/native.jpg)
AWS Rekognition
Age | 22-30 |
Gender | Male, 99.3% |
Sad | 35.4% |
Calm | 31% |
Confused | 19.6% |
Disgusted | 12.8% |
Surprised | 9% |
Fear | 6.2% |
Angry | 4.6% |
Happy | 4% |
Feature analysis
Categories
Imagga
cars vehicles | 41.4% | |
text visuals | 29.7% | |
paintings art | 16.3% | |
interior objects | 5.6% | |
streetview architecture | 2.5% | |
beaches seaside | 2.2% | |
nature landscape | 1.2% | |
Captions
Microsoft
created on 2019-02-18
a shelf in a store window | 66.2% | |
a display in a store window | 66.1% | |
a glass display case | 49.9% | |