Machine Generated Data
Tags
Amazon
created on 2022-01-12
Clarifai
created on 2023-10-13
Imagga
created on 2022-01-12
locker | 100 | |
| ||
fastener | 100 | |
| ||
restraint | 92.3 | |
| ||
device | 72.9 | |
| ||
person | 28.7 | |
| ||
male | 28.4 | |
| ||
man | 28.2 | |
| ||
adult | 23.3 | |
| ||
people | 21.2 | |
| ||
elevator | 19.3 | |
| ||
attractive | 17.5 | |
| ||
portrait | 17.5 | |
| ||
lifestyle | 16.6 | |
| ||
men | 16.3 | |
| ||
casual | 16.1 | |
| ||
looking | 16 | |
| ||
home | 16 | |
| ||
one | 15.7 | |
| ||
happy | 15.7 | |
| ||
indoors | 14.9 | |
| ||
lifting device | 14.7 | |
| ||
business | 14.6 | |
| ||
indoor | 13.7 | |
| ||
smile | 13.5 | |
| ||
face | 13.5 | |
| ||
handsome | 13.4 | |
| ||
standing | 13 | |
| ||
smiling | 13 | |
| ||
job | 12.4 | |
| ||
professional | 11.8 | |
| ||
businessman | 11.5 | |
| ||
house | 10.9 | |
| ||
black | 10.8 | |
| ||
suit | 10.8 | |
| ||
human | 10.5 | |
| ||
hair | 10.3 | |
| ||
guy | 10.2 | |
| ||
youth | 10.2 | |
| ||
dress | 9.9 | |
| ||
holding | 9.9 | |
| ||
modern | 9.8 | |
| ||
building | 9.6 | |
| ||
body | 9.6 | |
| ||
door | 9.4 | |
| ||
equipment | 9.4 | |
| ||
inside | 9.2 | |
| ||
pretty | 9.1 | |
| ||
fashion | 9 | |
| ||
lady | 8.9 | |
| ||
worker | 8.9 | |
| ||
sexy | 8.8 | |
| ||
look | 8.8 | |
| ||
boy | 8.7 | |
| ||
room | 8.4 | |
| ||
hand | 8.4 | |
| ||
training | 8.3 | |
| ||
alone | 8.2 | |
| ||
teenager | 8.2 | |
| ||
confident | 8.2 | |
| ||
office | 8 | |
| ||
interior | 8 | |
| ||
cute | 7.9 | |
| ||
happiness | 7.8 | |
| ||
construction | 7.7 | |
| ||
formal | 7.6 | |
| ||
smart | 7.5 | |
| ||
child | 7.5 | |
| ||
clothes | 7.5 | |
| ||
camera | 7.4 | |
| ||
safety | 7.4 | |
| ||
occupation | 7.3 | |
| ||
20s | 7.3 | |
| ||
window | 7.3 | |
| ||
cheerful | 7.3 | |
| ||
protection | 7.3 | |
| ||
kitchen | 7.3 | |
| ||
student | 7.2 | |
| ||
blond | 7.2 | |
| ||
school | 7.2 | |
| ||
kid | 7.1 | |
| ||
working | 7.1 | |
| ||
work | 7.1 | |
|
Google
created on 2022-01-12
Jeans | 97 | |
| ||
Shoulder | 94.9 | |
| ||
Sleeve | 87.2 | |
| ||
Standing | 86.4 | |
| ||
Waist | 84.1 | |
| ||
Style | 83.9 | |
| ||
Black-and-white | 83.3 | |
| ||
Flash photography | 82.5 | |
| ||
Cool | 81.9 | |
| ||
Elbow | 81.1 | |
| ||
Knee | 79.5 | |
| ||
Thigh | 76.5 | |
| ||
Street fashion | 76.1 | |
| ||
T-shirt | 75.9 | |
| ||
Font | 75.2 | |
| ||
Monochrome photography | 71.9 | |
| ||
Trunk | 70.3 | |
| ||
Eyewear | 69.7 | |
| ||
Monochrome | 69.7 | |
| ||
Vintage clothing | 67.5 | |
|
Microsoft
created on 2022-01-12
person | 99.7 | |
| ||
wall | 99.1 | |
| ||
standing | 95.2 | |
| ||
clothing | 90.9 | |
| ||
human face | 88.1 | |
| ||
text | 87.1 | |
| ||
striped | 80.6 | |
| ||
posing | 78.4 | |
| ||
black and white | 59.9 | |
| ||
cabinet | 35.3 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/493633241/709,302,278,389/full/0/native.jpg)
AWS Rekognition
Age | 16-24 |
Gender | Male, 100% |
Calm | 98.6% |
Sad | 0.5% |
Angry | 0.3% |
Confused | 0.3% |
Fear | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Happy | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/493633241/699,364,290,290/full/0/native.jpg)
Microsoft Cognitive Services
Age | 26 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/493633241/626,234,444,517/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
![](https://ids.lib.harvard.edu/ids/iiif/493633241/324,209,1021,2339/full/0/native.jpg)
Person | 99.6% | |
|
Categories
Imagga
paintings art | 82.6% | |
| ||
people portraits | 12.9% | |
| ||
interior objects | 1.6% | |
|
Captions
Microsoft
created on 2022-01-12
a man standing in front of a window posing for the camera | 82.9% | |
| ||
a man standing in front of a door | 82.8% | |
| ||
a person standing posing for the camera | 82.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/493633241/1246,1735,27,21/full/0/native.jpg)
58
![](https://ids.lib.harvard.edu/ids/iiif/493633241/19,589,26,23/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/493633241/1671,1741,52,23/full/0/native.jpg)
E159
![](https://ids.lib.harvard.edu/ids/iiif/493633241/337,1743,55,28/full/0/native.jpg)
E156
![](https://ids.lib.harvard.edu/ids/iiif/493633241/0,539,43,36/full/0/native.jpg)
trer
![](https://ids.lib.harvard.edu/ids/iiif/493633241/329,1747,17,27/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/493633241/1243,1737,35,24/full/0/native.jpg)
158
![](https://ids.lib.harvard.edu/ids/iiif/493633241/0,37,1958,1737/full/0/native.jpg)
||| ||||||
||||||
|||||||| |||||
|||
trer
te
3 E156
158
E159
![](https://ids.lib.harvard.edu/ids/iiif/493633241/0,37,214,128/full/0/native.jpg)
|||
![](https://ids.lib.harvard.edu/ids/iiif/493633241/234,38,287,129/full/0/native.jpg)
||||||
![](https://ids.lib.harvard.edu/ids/iiif/493633241/1152,45,347,115/full/0/native.jpg)
||||||||
![](https://ids.lib.harvard.edu/ids/iiif/493633241/1603,43,206,113/full/0/native.jpg)
|||||
![](https://ids.lib.harvard.edu/ids/iiif/493633241/19,589,34,27/full/0/native.jpg)
te
![](https://ids.lib.harvard.edu/ids/iiif/493633241/352,1745,41,29/full/0/native.jpg)
E156
![](https://ids.lib.harvard.edu/ids/iiif/493633241/1673,1744,53,23/full/0/native.jpg)
E159