Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20576052/669,513,32,33/full/0/native.jpg)
AWS Rekognition
Age | 15-25 |
Gender | Female, 52.3% |
Happy | 45.2% |
Disgusted | 45.2% |
Surprised | 45.8% |
Angry | 45.2% |
Calm | 52.4% |
Sad | 45.6% |
Confused | 45.5% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/830,429,32,38/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 51.9% |
Confused | 45.5% |
Angry | 45.6% |
Calm | 51% |
Disgusted | 45.4% |
Sad | 46% |
Happy | 46% |
Surprised | 45.5% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/557,437,26,33/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 52.5% |
Disgusted | 45.4% |
Happy | 45.8% |
Calm | 52.4% |
Angry | 45.2% |
Confused | 45.3% |
Sad | 45.3% |
Surprised | 45.6% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/633,393,24,29/full/0/native.jpg)
AWS Rekognition
Age | 4-9 |
Gender | Female, 54.4% |
Sad | 49% |
Disgusted | 45.1% |
Confused | 45.3% |
Calm | 49.6% |
Happy | 45.4% |
Surprised | 45.3% |
Angry | 45.3% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/480,381,22,28/full/0/native.jpg)
AWS Rekognition
Age | 4-9 |
Gender | Female, 50.9% |
Calm | 51.1% |
Confused | 45.2% |
Sad | 48.2% |
Angry | 45.2% |
Happy | 45.1% |
Disgusted | 45.1% |
Surprised | 45.2% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/145,252,22,29/full/0/native.jpg)
AWS Rekognition
Age | 17-27 |
Gender | Female, 54% |
Angry | 45.4% |
Sad | 52.7% |
Disgusted | 45.4% |
Happy | 45.4% |
Calm | 45.7% |
Confused | 45.2% |
Surprised | 45.2% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/264,390,20,31/full/0/native.jpg)
AWS Rekognition
Age | 17-27 |
Gender | Female, 53.6% |
Happy | 46.1% |
Angry | 45.4% |
Confused | 45.4% |
Calm | 51.3% |
Sad | 46% |
Disgusted | 45.3% |
Surprised | 45.5% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/749,404,20,28/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 54.7% |
Calm | 46.9% |
Happy | 45.6% |
Sad | 47.1% |
Surprised | 45.4% |
Disgusted | 47.6% |
Angry | 47.2% |
Confused | 45.2% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/340,414,25,31/full/0/native.jpg)
AWS Rekognition
Age | 4-7 |
Gender | Female, 53.1% |
Confused | 45.5% |
Disgusted | 45.2% |
Sad | 48.6% |
Surprised | 45.3% |
Calm | 49.7% |
Happy | 45.1% |
Angry | 45.6% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/187,388,22,26/full/0/native.jpg)
AWS Rekognition
Age | 10-15 |
Gender | Female, 54.5% |
Surprised | 45.1% |
Calm | 45.7% |
Sad | 53.3% |
Happy | 45.2% |
Angry | 45.5% |
Confused | 45.1% |
Disgusted | 45.2% |
![](https://ids.lib.harvard.edu/ids/iiif/20576052/306,365,21,26/full/0/native.jpg)
AWS Rekognition
Age | 29-45 |
Gender | Female, 52.8% |
Confused | 45.2% |
Angry | 45.3% |
Happy | 45.3% |
Sad | 49.3% |
Disgusted | 46% |
Surprised | 45.2% |
Calm | 48.9% |
Feature analysis
Categories
Imagga
interior objects | 100% | |
Captions
Microsoft
created on 2019-06-04
a vintage photo of a person | 84.2% | |
a vintage photo of some people | 84.1% | |
an old black and white photo of a person | 79.4% | |