Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819919/628,334,38,49/full/0/native.jpg)
AWS Rekognition
Age | 37-45 |
Gender | Female, 73.9% |
Calm | 99.9% |
Sad | 0.1% |
Surprised | 0% |
Confused | 0% |
Happy | 0% |
Disgusted | 0% |
Angry | 0% |
Fear | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18819919/459,322,36,43/full/0/native.jpg)
AWS Rekognition
Age | 35-43 |
Gender | Female, 98.5% |
Happy | 90.6% |
Calm | 7.3% |
Sad | 0.5% |
Angry | 0.5% |
Surprised | 0.4% |
Confused | 0.3% |
Disgusted | 0.3% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18819919/366,284,34,39/full/0/native.jpg)
AWS Rekognition
Age | 47-53 |
Gender | Female, 78.8% |
Happy | 67.2% |
Sad | 22.8% |
Calm | 3.7% |
Surprised | 2% |
Disgusted | 1.2% |
Angry | 1.2% |
Confused | 1.1% |
Fear | 0.7% |
![](https://ids.lib.harvard.edu/ids/iiif/18819919/287,156,44,51/full/0/native.jpg)
AWS Rekognition
Age | 39-47 |
Gender | Male, 56.2% |
Happy | 70.5% |
Sad | 22.1% |
Confused | 3.5% |
Disgusted | 1.3% |
Calm | 1.2% |
Surprised | 0.6% |
Angry | 0.4% |
Fear | 0.4% |
![](https://ids.lib.harvard.edu/ids/iiif/18819919/579,151,37,47/full/0/native.jpg)
AWS Rekognition
Age | 54-64 |
Gender | Male, 99.3% |
Calm | 92.6% |
Sad | 4.4% |
Surprised | 0.8% |
Angry | 0.6% |
Happy | 0.6% |
Disgusted | 0.5% |
Confused | 0.5% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18819919/187,181,42,56/full/0/native.jpg)
AWS Rekognition
Age | 38-46 |
Gender | Female, 88% |
Happy | 85.4% |
Calm | 8.3% |
Sad | 3.4% |
Angry | 0.8% |
Confused | 0.8% |
Surprised | 0.6% |
Disgusted | 0.5% |
Fear | 0.2% |
![](https://ids.lib.harvard.edu/ids/iiif/18819919/623,326,44,51/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/18819919/363,277,41,47/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/18819919/285,155,43,50/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/18819919/566,131,60,69/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/18819919/574,148,43,50/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/18819919/307,323,55,65/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/18819919/662,339,40,45/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/18819919/579,135,43,50/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |
![](https://ids.lib.harvard.edu/ids/iiif/18819919/456,319,44,50/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/18819919/171,161,70,82/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
people portraits | 26.4% | |
paintings art | 25.8% | |
streetview architecture | 21.4% | |
interior objects | 8.6% | |
events parties | 5.4% | |
text visuals | 4% | |
nature landscape | 3.3% | |
pets animals | 2% | |
food drinks | 1.5% | |
beaches seaside | 1.1% | |
Captions
Microsoft
created on 2022-01-15
a group of people posing for a photo | 93.9% | |
a group of people sitting posing for the camera | 93.7% | |
an old photo of a group of people posing for the camera | 92.7% | |