Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
newspaper | 100 | |
| ||
product | 100 | |
| ||
creation | 89.1 | |
| ||
sexy | 23.3 | |
| ||
adult | 23.3 | |
| ||
model | 21.8 | |
| ||
black | 21.6 | |
| ||
person | 21.6 | |
| ||
attractive | 21 | |
| ||
people | 19.5 | |
| ||
portrait | 18.1 | |
| ||
fashion | 18.1 | |
| ||
style | 15.6 | |
| ||
sitting | 15.5 | |
| ||
man | 14.8 | |
| ||
lifestyle | 14.5 | |
| ||
music | 14.4 | |
| ||
body | 14.4 | |
| ||
male | 14.2 | |
| ||
guitar | 14.1 | |
| ||
one | 13.4 | |
| ||
posing | 13.3 | |
| ||
pretty | 13.3 | |
| ||
sensuality | 12.7 | |
| ||
human | 12 | |
| ||
hair | 11.9 | |
| ||
sensual | 11.8 | |
| ||
musician | 11.8 | |
| ||
studio | 11.4 | |
| ||
lady | 11.4 | |
| ||
art | 11.1 | |
| ||
youth | 11.1 | |
| ||
skin | 11 | |
| ||
passion | 10.3 | |
| ||
women | 10.3 | |
| ||
elegance | 10.1 | |
| ||
face | 9.9 | |
| ||
old | 9.8 | |
| ||
musical instrument | 9.7 | |
| ||
brunette | 9.6 | |
| ||
sofa | 9.6 | |
| ||
rock | 9.6 | |
| ||
play | 9.5 | |
| ||
luxury | 9.4 | |
| ||
elegant | 9.4 | |
| ||
expression | 9.4 | |
| ||
cute | 9.3 | |
| ||
smile | 9.3 | |
| ||
chair | 9.1 | |
| ||
vintage | 9.1 | |
| ||
dress | 9 | |
| ||
looking | 8.8 | |
| ||
indoors | 8.8 | |
| ||
happy | 8.8 | |
| ||
couple | 8.7 | |
| ||
hands | 8.7 | |
| ||
wall | 8.6 | |
| ||
relaxation | 8.4 | |
| ||
room | 8.2 | |
| ||
pose | 8.2 | |
| ||
interior | 8 | |
| ||
grunge | 7.7 | |
| ||
musical | 7.7 | |
| ||
seductive | 7.7 | |
| ||
accordion | 7.4 | |
| ||
entertainment | 7.4 | |
| ||
alone | 7.3 | |
| ||
playing | 7.3 | |
| ||
gorgeous | 7.2 | |
| ||
stylish | 7.2 | |
| ||
clothing | 7.2 | |
| ||
love | 7.1 | |
| ||
modern | 7 | |
|
Google
created on 2022-01-09
Smile | 90.5 | |
| ||
Black | 89.8 | |
| ||
Style | 83.9 | |
| ||
Chair | 83.3 | |
| ||
Thigh | 81.8 | |
| ||
Art | 80.4 | |
| ||
Beauty | 75 | |
| ||
Monochrome | 74.2 | |
| ||
Monochrome photography | 73 | |
| ||
Human leg | 72.6 | |
| ||
Comfort | 72.5 | |
| ||
Sitting | 70.9 | |
| ||
Knee | 70.3 | |
| ||
Pattern | 69.3 | |
| ||
Font | 67.3 | |
| ||
Visual arts | 66.1 | |
| ||
Stock photography | 64.1 | |
| ||
Grass | 63.5 | |
| ||
Vintage clothing | 60.2 | |
| ||
Illustration | 59.7 | |
|
Microsoft
created on 2022-01-09
text | 98 | |
| ||
person | 95.9 | |
| ||
black and white | 90 | |
| ||
human face | 77.7 | |
| ||
clothing | 67.9 | |
| ||
arm | 15.5 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18788737/192,182,108,131/full/0/native.jpg)
AWS Rekognition
Age | 29-39 |
Gender | Female, 99.5% |
Calm | 99.8% |
Sad | 0.1% |
Happy | 0.1% |
Surprised | 0% |
Fear | 0% |
Disgusted | 0% |
Confused | 0% |
Angry | 0% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18788737/77,103,730,872/full/0/native.jpg)
Person | 88.5% | |
|
Categories
Imagga
streetview architecture | 76.2% | |
| ||
paintings art | 23.7% | |
|
Captions
Microsoft
created on 2022-01-09
a person posing for the camera | 78.2% | |
| ||
a woman posing for a picture | 78.1% | |
| ||
a woman posing for a photo | 67.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18788737/418,416,85,68/full/0/native.jpg)
TOLL
![](https://ids.lib.harvard.edu/ids/iiif/18788737/417,405,166,105/full/0/native.jpg)
TOLL HIGHES
![](https://ids.lib.harvard.edu/ids/iiif/18788737/408,468,47,50/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/18788737/393,363,48,30/full/0/native.jpg)
BRAD
![](https://ids.lib.harvard.edu/ids/iiif/18788737/501,443,79,51/full/0/native.jpg)
HIGHES
![](https://ids.lib.harvard.edu/ids/iiif/18788737/407,441,166,125/full/0/native.jpg)
IN 25 YEARS
![](https://ids.lib.harvard.edu/ids/iiif/18788737/488,490,80,45/full/0/native.jpg)
YEARS
![](https://ids.lib.harvard.edu/ids/iiif/18788737/447,481,50,52/full/0/native.jpg)
25
![](https://ids.lib.harvard.edu/ids/iiif/18788737/404,337,21,20/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/18788737/441,342,15,14/full/0/native.jpg)
г
![](https://ids.lib.harvard.edu/ids/iiif/18788737/4,288,30,142/full/0/native.jpg)
1996
![](https://ids.lib.harvard.edu/ids/iiif/18788737/343,993,76,11/full/0/native.jpg)
EVEETA
![](https://ids.lib.harvard.edu/ids/iiif/18788737/771,496,37,159/full/0/native.jpg)
96611
![](https://ids.lib.harvard.edu/ids/iiif/18788737/454,366,135,94/full/0/native.jpg)
ICE-STORIS
![](https://ids.lib.harvard.edu/ids/iiif/18788737/446,993,61,11/full/0/native.jpg)
RODVA
![](https://ids.lib.harvard.edu/ids/iiif/18788737/504,352,88,46/full/0/native.jpg)
DAILYRADIS
![](https://ids.lib.harvard.edu/ids/iiif/18788737/222,993,94,13/full/0/native.jpg)
Everyvn
![](https://ids.lib.harvard.edu/ids/iiif/18788737/407,339,23,20/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/18788737/447,345,24,23/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/18788737/567,373,26,24/full/0/native.jpg)
NENS
![](https://ids.lib.harvard.edu/ids/iiif/18788737/422,420,82,66/full/0/native.jpg)
TOLL
![](https://ids.lib.harvard.edu/ids/iiif/18788737/450,487,50,48/full/0/native.jpg)
25
![](https://ids.lib.harvard.edu/ids/iiif/18788737/490,489,90,63/full/0/native.jpg)
YEARS
![](https://ids.lib.harvard.edu/ids/iiif/18788737/396,364,49,35/full/0/native.jpg)
BRAD
![](https://ids.lib.harvard.edu/ids/iiif/18788737/396,339,200,213/full/0/native.jpg)
2 I 2 DAILY NENS
ICE-STORS
TOLL HIGHES
IN 25 YEARS
BRAD
![](https://ids.lib.harvard.edu/ids/iiif/18788737/514,361,53,30/full/0/native.jpg)
DAILY
![](https://ids.lib.harvard.edu/ids/iiif/18788737/444,371,152,96/full/0/native.jpg)
ICE-STORS
![](https://ids.lib.harvard.edu/ids/iiif/18788737/502,441,87,72/full/0/native.jpg)
HIGHES
![](https://ids.lib.harvard.edu/ids/iiif/18788737/410,473,48,50/full/0/native.jpg)
IN