Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18784717/497,188,38,52/full/0/native.jpg)
AWS Rekognition
Age | 14-22 |
Gender | Female, 99.9% |
Calm | 87.2% |
Confused | 10.4% |
Happy | 0.9% |
Sad | 0.5% |
Angry | 0.4% |
Surprised | 0.3% |
Disgusted | 0.2% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/627,181,40,55/full/0/native.jpg)
AWS Rekognition
Age | 19-27 |
Gender | Female, 100% |
Calm | 98.5% |
Confused | 0.4% |
Surprised | 0.3% |
Angry | 0.3% |
Happy | 0.2% |
Sad | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/372,184,36,51/full/0/native.jpg)
AWS Rekognition
Age | 18-24 |
Gender | Female, 100% |
Calm | 99.7% |
Happy | 0.1% |
Confused | 0.1% |
Angry | 0.1% |
Surprised | 0% |
Sad | 0% |
Disgusted | 0% |
Fear | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/755,153,40,51/full/0/native.jpg)
AWS Rekognition
Age | 25-35 |
Gender | Female, 96.7% |
Calm | 99.3% |
Confused | 0.3% |
Happy | 0.2% |
Angry | 0.1% |
Surprised | 0.1% |
Sad | 0% |
Fear | 0% |
Disgusted | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/243,148,40,53/full/0/native.jpg)
AWS Rekognition
Age | 19-27 |
Gender | Female, 100% |
Happy | 86% |
Calm | 5.9% |
Confused | 3.3% |
Surprised | 2.4% |
Angry | 0.8% |
Disgusted | 0.8% |
Fear | 0.6% |
Sad | 0.3% |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/241,156,44,44/full/0/native.jpg)
Microsoft Cognitive Services
Age | 23 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/625,191,43,43/full/0/native.jpg)
Microsoft Cognitive Services
Age | 27 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/753,160,43,43/full/0/native.jpg)
Microsoft Cognitive Services
Age | 24 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/372,193,41,41/full/0/native.jpg)
Microsoft Cognitive Services
Age | 24 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/497,198,38,38/full/0/native.jpg)
Microsoft Cognitive Services
Age | 19 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/618,169,61,72/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/232,134,61,71/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Likely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/488,176,57,66/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/360,172,59,68/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18784717/744,136,62,73/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 98.6% | |
Captions
Microsoft
created on 2022-01-08
a group of people posing for a photo | 92.4% | |
a group of people posing for the camera | 92.3% | |
a group of people posing for a picture | 92.2% | |