Machine Generated Data
Tags
Amazon
created on 2019-05-31
Clarifai
created on 2019-05-31
illustration | 98.6 | |
| ||
no person | 96.2 | |
| ||
95.6 | ||
| ||
modern | 94.9 | |
| ||
technology | 94.5 | |
| ||
architecture | 94.5 | |
| ||
house | 93.9 | |
| ||
contemporary | 93.7 | |
| ||
industry | 92.9 | |
| ||
expression | 92.1 | |
| ||
desktop | 91.1 | |
| ||
paper | 89.6 | |
| ||
shelf | 89.1 | |
| ||
business | 89 | |
| ||
design | 87.6 | |
| ||
power | 87.2 | |
| ||
inside | 86 | |
| ||
transportation system | 85.3 | |
| ||
building | 85 | |
| ||
construction | 84.6 | |
|
Imagga
created on 2019-05-31
Google
created on 2019-05-31
Microsoft
created on 2019-05-31
fog | 98.1 | |
| ||
text | 94.7 | |
| ||
bridge | 87.2 | |
| ||
black and white | 58.7 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18742491/792,276,12,17/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Angry | 49.5% |
Confused | 49.5% |
Surprised | 49.6% |
Happy | 49.6% |
Sad | 49.7% |
Calm | 50% |
Disgusted | 49.6% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18742491/672,272,32,79/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18742491/766,269,60,81/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18742491/245,286,24,65/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18742491/511,275,11,28/full/0/native.jpg)
Person | 99.4% | |
|
Categories
Imagga
text visuals | 62.8% | |
| ||
paintings art | 36% | |
|
Captions
Microsoft
created on 2019-05-31
a close up of text on a white surface | 39.2% | |
| ||
a close up of text on a white background | 39.1% | |
| ||
a display in a store | 39% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18742491/907,61,76,48/full/0/native.jpg)
7%
![](https://ids.lib.harvard.edu/ids/iiif/18742491/893,493,79,41/full/0/native.jpg)
out
![](https://ids.lib.harvard.edu/ids/iiif/18742491/873,434,138,55/full/0/native.jpg)
Arbnsh
![](https://ids.lib.harvard.edu/ids/iiif/18742491/879,541,83,51/full/0/native.jpg)
this
![](https://ids.lib.harvard.edu/ids/iiif/18742491/880,600,91,50/full/0/native.jpg)
line
![](https://ids.lib.harvard.edu/ids/iiif/18742491/949,50,65,19/full/0/native.jpg)
PERCENT.
![](https://ids.lib.harvard.edu/ids/iiif/18742491/921,16,98,50/full/0/native.jpg)
SHooT somE SPPERCENT PERCENT.
![](https://ids.lib.harvard.edu/ids/iiif/18742491/921,24,57,17/full/0/native.jpg)
SHooT
![](https://ids.lib.harvard.edu/ids/iiif/18742491/929,46,86,22/full/0/native.jpg)
SPPERCENT
![](https://ids.lib.harvard.edu/ids/iiif/18742491/922,42,58,14/full/0/native.jpg)
somE
![](https://ids.lib.harvard.edu/ids/iiif/18742491/-4,136,131,69/full/0/native.jpg)
pryese A
![](https://ids.lib.harvard.edu/ids/iiif/18742491/885,67,96,537/full/0/native.jpg)
74%
Out
this
uS
![](https://ids.lib.harvard.edu/ids/iiif/18742491/953,67,28,44/full/0/native.jpg)
%
![](https://ids.lib.harvard.edu/ids/iiif/18742491/918,557,48,41/full/0/native.jpg)
uS
![](https://ids.lib.harvard.edu/ids/iiif/18742491/910,67,47,48/full/0/native.jpg)
74
![](https://ids.lib.harvard.edu/ids/iiif/18742491/897,495,79,46/full/0/native.jpg)
Out
![](https://ids.lib.harvard.edu/ids/iiif/18742491/885,543,74,61/full/0/native.jpg)
this