Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18819104/442,456,7,11/full/0/native.jpg)
AWS Rekognition
Age | 18-26 |
Gender | Female, 50.6% |
Calm | 96.8% |
Sad | 1.2% |
Happy | 1.1% |
Confused | 0.3% |
Disgusted | 0.2% |
Angry | 0.2% |
Fear | 0.1% |
Surprised | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18819104/585,437,13,16/full/0/native.jpg)
AWS Rekognition
Age | 13-21 |
Gender | Male, 87% |
Calm | 96.6% |
Sad | 2.4% |
Fear | 0.3% |
Disgusted | 0.3% |
Happy | 0.1% |
Confused | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18819104/583,437,14,17/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |
Feature analysis
Amazon
Person | 99.2% | |
Categories
Imagga
interior objects | 43.6% | |
text visuals | 30.7% | |
streetview architecture | 23.5% | |
paintings art | 1% | |
Captions
Microsoft
created on 2022-01-15
a vintage photo of a store | 72.4% | |
a vintage photo of a person | 64.6% | |
a vintage photo of a person in front of a store | 51.6% | |