Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18817970/283,415,12,16/full/0/native.jpg)
AWS Rekognition
Age | 23-31 |
Gender | Female, 75.2% |
Happy | 39.7% |
Sad | 34.6% |
Calm | 16.9% |
Fear | 4.2% |
Confused | 2.2% |
Angry | 1% |
Disgusted | 0.8% |
Surprised | 0.6% |
![](https://ids.lib.harvard.edu/ids/iiif/18817970/887,306,28,32/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18817970/232,313,30,34/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |
Feature analysis
Categories
Imagga
streetview architecture | 40.5% | |
paintings art | 22.2% | |
text visuals | 14.4% | |
beaches seaside | 12.5% | |
interior objects | 5.5% | |
food drinks | 2.9% | |
Captions
Microsoft
created on 2022-01-15
a group of people in a store | 62.8% | |
a group of people sitting in front of a store | 56.8% | |
a group of people riding on the back of a store | 41.2% | |