Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14007699/200,413,14,18/full/0/native.jpg)
AWS Rekognition
Age | 22-34 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Confused | 49.5% |
Fear | 50.1% |
Calm | 49.5% |
Happy | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |
Sad | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/14007699/264,415,13,19/full/0/native.jpg)
AWS Rekognition
Age | 16-28 |
Gender | Male, 50% |
Fear | 49.9% |
Sad | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |
Confused | 49.5% |
Angry | 49.6% |
Surprised | 49.9% |
Feature analysis
Categories
Imagga
cars vehicles | 59% | |
interior objects | 27.1% | |
paintings art | 6.6% | |
streetview architecture | 5.6% | |
Captions
Microsoft
created on 2019-11-16
a black and white photo of a store window | 75.6% | |
a black and white photo of a store | 75.5% | |
a black and white photo of a building | 75.2% | |