Machine Generated Data
Tags
Amazon
created on 2020-05-03
Clarifai
created on 2020-05-03
Imagga
created on 2020-05-03
Google
created on 2020-05-03
Painting | 89.1 | |
| ||
Portrait | 88.3 | |
| ||
Picture frame | 84.1 | |
| ||
Cheek | 83.8 | |
| ||
Hairstyle | 82.9 | |
| ||
Forehead | 78.2 | |
| ||
Lip | 75.4 | |
| ||
Visual arts | 75.3 | |
| ||
Art | 72.1 | |
| ||
Self-portrait | 65.6 | |
| ||
Photography | 62.4 | |
| ||
Watercolor paint | 60.7 | |
| ||
Brown hair | 53.1 | |
| ||
Artwork | 51.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20673692/205,279,206,244/full/0/native.jpg)
AWS Rekognition
Age | 18-30 |
Gender | Male, 81.2% |
Fear | 0.3% |
Calm | 90.6% |
Happy | 0.3% |
Surprised | 1% |
Disgusted | 0.4% |
Confused | 1.7% |
Sad | 2.9% |
Angry | 2.7% |
![](https://ids.lib.harvard.edu/ids/iiif/20673692/186,327,207,207/full/0/native.jpg)
Microsoft Cognitive Services
Age | 22 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/20673692/180,190,302,350/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
pets animals | 60.8% | |
| ||
paintings art | 29.4% | |
| ||
people portraits | 6.1% | |
| ||
food drinks | 2.5% | |
|
Captions
Microsoft
created on 2020-05-03
a flat screen television | 65.1% | |
| ||
a flat screen tv | 65% | |
| ||
a flat screen monitor | 63.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20673692/615,988,30,13/full/0/native.jpg)
ueko
![](https://ids.lib.harvard.edu/ids/iiif/20673692/403,988,25,11/full/0/native.jpg)
pey
![](https://ids.lib.harvard.edu/ids/iiif/20673692/321,986,46,12/full/0/native.jpg)
quebew
![](https://ids.lib.harvard.edu/ids/iiif/20673692/474,1003,43,13/full/0/native.jpg)
JO1OA
![](https://ids.lib.harvard.edu/ids/iiif/20673692/181,986,38,12/full/0/native.jpg)
uMOg
![](https://ids.lib.harvard.edu/ids/iiif/20673692/182,984,537,14/full/0/native.jpg)
uMOg uM quebew pey MOLIOA ueig ueko 0ng
![](https://ids.lib.harvard.edu/ids/iiif/20673692/354,1002,63,13/full/0/native.jpg)
soumnnd
![](https://ids.lib.harvard.edu/ids/iiif/20673692/355,1001,222,14/full/0/native.jpg)
soumnnd 10n000 JO1OA VHNON
![](https://ids.lib.harvard.edu/ids/iiif/20673692/542,989,34,11/full/0/native.jpg)
ueig
![](https://ids.lib.harvard.edu/ids/iiif/20673692/469,988,37,12/full/0/native.jpg)
MOLIOA
![](https://ids.lib.harvard.edu/ids/iiif/20673692/690,990,29,12/full/0/native.jpg)
0ng
![](https://ids.lib.harvard.edu/ids/iiif/20673692/517,1003,58,13/full/0/native.jpg)
VHNON
![](https://ids.lib.harvard.edu/ids/iiif/20673692/417,1003,56,13/full/0/native.jpg)
10n000
![](https://ids.lib.harvard.edu/ids/iiif/20673692/256,986,32,12/full/0/native.jpg)
uM
![](https://ids.lib.harvard.edu/ids/iiif/20673692/116,748,709,274/full/0/native.jpg)
KODAK Coior Controi Patcnes ctnan Koda Company. 1977
Blue
Cyan
Green
Yellow
Magenta
White
Brown
Black
pay
1810.
......
![](https://ids.lib.harvard.edu/ids/iiif/20673692/522,1007,56,15/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/20673692/478,1007,41,14/full/0/native.jpg)
Coior
![](https://ids.lib.harvard.edu/ids/iiif/20673692/421,1006,55,16/full/0/native.jpg)
Controi
![](https://ids.lib.harvard.edu/ids/iiif/20673692/359,1006,60,14/full/0/native.jpg)
Patcnes
![](https://ids.lib.harvard.edu/ids/iiif/20673692/325,1005,32,15/full/0/native.jpg)
ctnan
![](https://ids.lib.harvard.edu/ids/iiif/20673692/310,1004,18,15/full/0/native.jpg)
Koda
![](https://ids.lib.harvard.edu/ids/iiif/20673692/275,1004,33,15/full/0/native.jpg)
Company.
![](https://ids.lib.harvard.edu/ids/iiif/20673692/260,1003,18,15/full/0/native.jpg)
1977
![](https://ids.lib.harvard.edu/ids/iiif/20673692/694,995,25,12/full/0/native.jpg)
Blue
![](https://ids.lib.harvard.edu/ids/iiif/20673692/621,991,30,15/full/0/native.jpg)
Cyan
![](https://ids.lib.harvard.edu/ids/iiif/20673692/546,992,33,13/full/0/native.jpg)
Green
![](https://ids.lib.harvard.edu/ids/iiif/20673692/474,992,35,12/full/0/native.jpg)
Yellow
![](https://ids.lib.harvard.edu/ids/iiif/20673692/326,989,44,14/full/0/native.jpg)
Magenta
![](https://ids.lib.harvard.edu/ids/iiif/20673692/260,990,31,12/full/0/native.jpg)
White
![](https://ids.lib.harvard.edu/ids/iiif/20673692/186,991,34,12/full/0/native.jpg)
Brown
![](https://ids.lib.harvard.edu/ids/iiif/20673692/116,989,30,14/full/0/native.jpg)
Black
![](https://ids.lib.harvard.edu/ids/iiif/20673692/408,992,22,12/full/0/native.jpg)
pay
![](https://ids.lib.harvard.edu/ids/iiif/20673692/184,748,40,17/full/0/native.jpg)
1810.
![](https://ids.lib.harvard.edu/ids/iiif/20673692/817,896,8,33/full/0/native.jpg)
......