Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18825159/322,114,70,89/full/0/native.jpg)
AWS Rekognition
Age | 14-22 |
Gender | Male, 97.5% |
Happy | 99.5% |
Calm | 0.2% |
Confused | 0.1% |
Angry | 0.1% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |
Sad | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/140,267,77,93/full/0/native.jpg)
AWS Rekognition
Age | 18-26 |
Gender | Male, 58.3% |
Happy | 98% |
Confused | 1.5% |
Calm | 0.3% |
Surprised | 0.1% |
Disgusted | 0% |
Angry | 0% |
Fear | 0% |
Sad | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/642,135,69,95/full/0/native.jpg)
AWS Rekognition
Age | 45-51 |
Gender | Female, 99.9% |
Happy | 91.6% |
Surprised | 2.1% |
Calm | 1.8% |
Confused | 1.3% |
Angry | 1.3% |
Disgusted | 0.8% |
Fear | 0.7% |
Sad | 0.4% |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/483,303,64,85/full/0/native.jpg)
AWS Rekognition
Age | 4-12 |
Gender | Female, 99.9% |
Calm | 95.7% |
Happy | 2.5% |
Angry | 0.6% |
Confused | 0.3% |
Sad | 0.3% |
Surprised | 0.2% |
Disgusted | 0.2% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/797,273,74,100/full/0/native.jpg)
AWS Rekognition
Age | 11-19 |
Gender | Female, 80.3% |
Calm | 99.9% |
Sad | 0% |
Happy | 0% |
Confused | 0% |
Angry | 0% |
Surprised | 0% |
Fear | 0% |
Disgusted | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/793,293,76,76/full/0/native.jpg)
Microsoft Cognitive Services
Age | 23 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/636,153,71,71/full/0/native.jpg)
Microsoft Cognitive Services
Age | 54 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/149,282,69,69/full/0/native.jpg)
Microsoft Cognitive Services
Age | 38 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/327,131,64,64/full/0/native.jpg)
Microsoft Cognitive Services
Age | 48 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/484,322,61,61/full/0/native.jpg)
Microsoft Cognitive Services
Age | 4 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/127,238,105,123/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/780,252,110,128/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/18825159/310,95,96,112/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/625,116,104,121/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18825159/470,286,92,107/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 99.9% | |
Captions
Microsoft
created on 2022-01-22
a group of people posing for a photo | 99.3% | |
a vintage photo of a group of people posing for the camera | 98.8% | |
a vintage photo of a group of people sitting posing for the camera | 98.4% | |