Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/14005607/729,252,36,45/full/0/native.jpg)
AWS Rekognition
Age | 8-18 |
Gender | Female, 54.6% |
Fear | 45.1% |
Confused | 45.1% |
Happy | 45% |
Calm | 49.4% |
Surprised | 45% |
Sad | 50.2% |
Angry | 45.2% |
Disgusted | 45% |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/839,283,33,43/full/0/native.jpg)
AWS Rekognition
Age | 12-22 |
Gender | Female, 53.2% |
Calm | 54.7% |
Angry | 45.1% |
Disgusted | 45% |
Happy | 45% |
Sad | 45.2% |
Confused | 45% |
Fear | 45% |
Surprised | 45% |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/627,280,33,41/full/0/native.jpg)
AWS Rekognition
Age | 9-19 |
Gender | Female, 54.8% |
Angry | 45.1% |
Calm | 51% |
Fear | 45% |
Disgusted | 45% |
Surprised | 45% |
Happy | 45% |
Sad | 48.8% |
Confused | 45.1% |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/236,310,39,57/full/0/native.jpg)
AWS Rekognition
Age | 17-29 |
Gender | Male, 52.5% |
Disgusted | 45.1% |
Fear | 45.1% |
Confused | 45.4% |
Calm | 47.9% |
Surprised | 45.1% |
Angry | 51.2% |
Sad | 45.1% |
Happy | 45% |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/162,174,42,59/full/0/native.jpg)
AWS Rekognition
Age | 22-34 |
Gender | Male, 54.7% |
Disgusted | 45% |
Surprised | 45% |
Happy | 45% |
Sad | 45% |
Angry | 45% |
Fear | 45% |
Calm | 55% |
Confused | 45% |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/161,184,45,45/full/0/native.jpg)
Microsoft Cognitive Services
Age | 38 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/238,322,42,42/full/0/native.jpg)
Microsoft Cognitive Services
Age | 28 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/148,163,67,78/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/226,303,63,74/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/721,243,51,60/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/14005607/829,273,51,59/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 56.6% | |
paintings art | 15.8% | |
food drinks | 14.4% | |
nature landscape | 5.6% | |
events parties | 2.2% | |
cars vehicles | 2.1% | |
people portraits | 1.1% | |
streetview architecture | 1.1% | |
Captions
Microsoft
created on 2019-11-16
a black and white photo of a person | 90.9% | |
a vintage photo of a person | 90.8% | |
an old black and white photo of a person | 90.7% | |