Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20576306/999,305,10,14/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Angry | 49.6% |
Surprised | 49.5% |
Disgusted | 49.7% |
Happy | 49.8% |
Sad | 49.8% |
Confused | 49.5% |
Calm | 49.6% |
![](https://ids.lib.harvard.edu/ids/iiif/20576306/786,251,9,13/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Calm | 49.5% |
Angry | 49.7% |
Happy | 49.5% |
Sad | 50.2% |
Disgusted | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/20576306/917,306,8,12/full/0/native.jpg)
AWS Rekognition
Age | 11-18 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Surprised | 49.5% |
Confused | 49.6% |
Sad | 50.1% |
Angry | 49.6% |
Calm | 49.6% |
Happy | 49.6% |
![](https://ids.lib.harvard.edu/ids/iiif/20576306/965,310,9,13/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Sad | 49.8% |
Confused | 49.5% |
Angry | 49.5% |
Happy | 49.9% |
Calm | 49.6% |
Surprised | 49.5% |
Disgusted | 49.6% |
![](https://ids.lib.harvard.edu/ids/iiif/20576306/851,304,8,12/full/0/native.jpg)
AWS Rekognition
Age | 15-25 |
Gender | Female, 50.4% |
Happy | 49.6% |
Disgusted | 49.6% |
Confused | 49.6% |
Angry | 49.6% |
Surprised | 49.6% |
Sad | 50% |
Calm | 49.6% |
Feature analysis
Categories
Imagga
beaches seaside | 32.5% | |
streetview architecture | 32% | |
nature landscape | 8.3% | |
cars vehicles | 6.7% | |
text visuals | 5.7% | |
events parties | 5.6% | |
interior objects | 2.6% | |
paintings art | 2.4% | |
sunrises sunsets | 1.7% | |
food drinks | 1.7% | |
Captions
Microsoft
created on 2019-06-04
a black and white photo of a train | 61.3% | |
an old photo of a train | 61.2% | |
old photo of a train | 61.1% | |