Machine Generated Data
Tags
Amazon
created on 2019-08-10
Clarifai
created on 2019-08-10
Imagga
created on 2019-08-10
Google
created on 2019-08-10
Picture frame | 80.1 | |
| ||
Illustration | 77.6 | |
| ||
History | 68.8 | |
| ||
Stock photography | 67.6 | |
| ||
Art | 65.5 | |
| ||
Facial hair | 60.7 | |
| ||
Drawing | 55.8 | |
|
Microsoft
created on 2019-08-10
text | 98.9 | |
| ||
human face | 98.1 | |
| ||
person | 97.4 | |
| ||
clothing | 96.7 | |
| ||
man | 95.8 | |
| ||
picture frame | 66.9 | |
| ||
old | 66.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20463649/344,315,97,151/full/0/native.jpg)
AWS Rekognition
Age | 51-69 |
Gender | Male, 98.6% |
Disgusted | 3.4% |
Happy | 24.8% |
Angry | 3.5% |
Calm | 34.8% |
Sad | 2.4% |
Surprised | 24.8% |
Confused | 4.7% |
Fear | 1.6% |
![](https://ids.lib.harvard.edu/ids/iiif/20463649/366,357,87,87/full/0/native.jpg)
Microsoft Cognitive Services
Age | 58 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/20463649/303,296,153,177/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
paintings art | 65.4% | |
| ||
streetview architecture | 34.6% | |
|
Captions
Microsoft
created on 2019-08-10
an old photo of a person | 86.5% | |
| ||
old photo of a person | 84.3% | |
| ||
an old photo of a person | 80.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20463649/219,813,138,34/full/0/native.jpg)
OC
![](https://ids.lib.harvard.edu/ids/iiif/20463649/96,985,26,13/full/0/native.jpg)
212
![](https://ids.lib.harvard.edu/ids/iiif/20463649/219,812,321,34/full/0/native.jpg)
OC BOM
![](https://ids.lib.harvard.edu/ids/iiif/20463649/60,983,62,19/full/0/native.jpg)
keire 212
![](https://ids.lib.harvard.edu/ids/iiif/20463649/360,941,41,18/full/0/native.jpg)
Lapriy
![](https://ids.lib.harvard.edu/ids/iiif/20463649/420,940,35,19/full/0/native.jpg)
Bamfe
![](https://ids.lib.harvard.edu/ids/iiif/20463649/373,813,167,31/full/0/native.jpg)
BOM
![](https://ids.lib.harvard.edu/ids/iiif/20463649/61,983,34,19/full/0/native.jpg)
keire
![](https://ids.lib.harvard.edu/ids/iiif/20463649/312,941,35,18/full/0/native.jpg)
findean
![](https://ids.lib.harvard.edu/ids/iiif/20463649/311,938,143,23/full/0/native.jpg)
findean Lapriy by Bamfe
![](https://ids.lib.harvard.edu/ids/iiif/20463649/401,938,19,23/full/0/native.jpg)
by
![](https://ids.lib.harvard.edu/ids/iiif/20463649/65,812,478,193/full/0/native.jpg)
IOHTAC BODMER
Graff pins
zu finden in apiy bj aufe
Keit 212
![](https://ids.lib.harvard.edu/ids/iiif/20463649/366,812,177,46/full/0/native.jpg)
BODMER
![](https://ids.lib.harvard.edu/ids/iiif/20463649/70,937,38,17/full/0/native.jpg)
Graff
![](https://ids.lib.harvard.edu/ids/iiif/20463649/105,938,27,14/full/0/native.jpg)
pins
![](https://ids.lib.harvard.edu/ids/iiif/20463649/301,952,15,8/full/0/native.jpg)
zu
![](https://ids.lib.harvard.edu/ids/iiif/20463649/315,945,34,19/full/0/native.jpg)
finden
![](https://ids.lib.harvard.edu/ids/iiif/20463649/348,951,14,14/full/0/native.jpg)
in
![](https://ids.lib.harvard.edu/ids/iiif/20463649/364,945,41,18/full/0/native.jpg)
apiy
![](https://ids.lib.harvard.edu/ids/iiif/20463649/406,943,18,22/full/0/native.jpg)
bj
![](https://ids.lib.harvard.edu/ids/iiif/20463649/424,945,32,20/full/0/native.jpg)
aufe
![](https://ids.lib.harvard.edu/ids/iiif/20463649/65,988,34,17/full/0/native.jpg)
Keit
![](https://ids.lib.harvard.edu/ids/iiif/20463649/99,989,25,14/full/0/native.jpg)
212
![](https://ids.lib.harvard.edu/ids/iiif/20463649/208,813,153,46/full/0/native.jpg)
IOHTAC