Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43313729/557,272,32,47/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Female, 54.3% |
Calm | 45.1% |
Angry | 48.7% |
Happy | 45.2% |
Sad | 45.1% |
Surprised | 45.1% |
Confused | 45% |
Disgusted | 50.8% |
![](https://ids.lib.harvard.edu/ids/iiif/43313729/530,262,22,37/full/0/native.jpg)
AWS Rekognition
Age | 60-90 |
Gender | Male, 53.6% |
Confused | 45.1% |
Calm | 54.3% |
Disgusted | 45.1% |
Sad | 45.3% |
Happy | 45% |
Angry | 45.1% |
Surprised | 45.1% |
![](https://ids.lib.harvard.edu/ids/iiif/43313729/552,261,57,66/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
Amazon
Person | 98.3% | |
Categories
Imagga
interior objects | 95.5% | |
food drinks | 1.9% | |
paintings art | 1.6% | |
Captions
Microsoft
created on 2019-06-05
a group of people sitting at a table | 80.6% | |
a group of people sitting around a table | 79.5% | |
a group of people sitting at a table in front of a window | 64.5% | |