Machine Generated Data
Tags
Amazon
created on 2022-07-09
Electronics | 92.2 | |
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Screen | 92.2 | |
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Display | 92.2 | |
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Monitor | 92.2 | |
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Art | 87.4 | |
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Painting | 87.4 | |
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Plant | 80.1 | |
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Medical Imaging X-Ray Film | 69.6 | |
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X-Ray | 69.6 | |
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Ct Scan | 69.6 | |
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LCD Screen | 58.7 | |
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Canvas | 55.2 | |
|
Clarifai
created on 2023-10-31
Imagga
created on 2022-07-09
Google
created on 2022-07-09
Jaw | 87.7 | |
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Art | 81.9 | |
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Rectangle | 77.5 | |
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Painting | 69 | |
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Visual arts | 64.8 | |
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Event | 64.5 | |
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Jewellery | 62.8 | |
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Monochrome photography | 61.2 | |
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Still life photography | 59.8 | |
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Circle | 59.1 | |
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Monochrome | 58.5 | |
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Room | 56.7 | |
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Artwork | 54.7 | |
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Still life | 53.6 | |
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Chest | 50.8 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/45763240/120,268,348,281/full/0/native.jpg)
AWS Rekognition
Age | 6-16 |
Gender | Female, 99.7% |
Calm | 85.3% |
Sad | 13.4% |
Surprised | 6.3% |
Fear | 5.9% |
Happy | 0.5% |
Confused | 0.2% |
Disgusted | 0.1% |
Angry | 0.1% |
Feature analysis
Categories
Imagga
paintings art | 76.4% | |
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food drinks | 20.6% | |
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interior objects | 1.4% | |
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Captions
Microsoft
created on 2022-07-09
an old photo of a person | 36.4% | |
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an old photo | 32.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/45763240/211,847,11,17/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/45763240/608,844,11,17/full/0/native.jpg)
6
![](https://ids.lib.harvard.edu/ids/iiif/45763240/806,843,11,17/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/45763240/407,846,11,17/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/45763240/904,843,11,17/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/45763240/507,845,11,17/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/45763240/35,850,25,12/full/0/native.jpg)
Inch
![](https://ids.lib.harvard.edu/ids/iiif/45763240/77,850,26,12/full/0/native.jpg)
1/32"
![](https://ids.lib.harvard.edu/ids/iiif/45763240/28,33,23,41/full/0/native.jpg)
417
![](https://ids.lib.harvard.edu/ids/iiif/45763240/706,844,11,17/full/0/native.jpg)
7
![](https://ids.lib.harvard.edu/ids/iiif/45763240/310,847,11,17/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/45763240/76,846,45,18/full/0/native.jpg)
1/32" 1
![](https://ids.lib.harvard.edu/ids/iiif/45763240/112,848,8,16/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/45763240/30,33,888,841/full/0/native.jpg)
LIh
O
∞
(O
LO
♡
~
![](https://ids.lib.harvard.edu/ids/iiif/45763240/31,33,24,46/full/0/native.jpg)
LIh
![](https://ids.lib.harvard.edu/ids/iiif/45763240/906,844,13,17/full/0/native.jpg)
O
![](https://ids.lib.harvard.edu/ids/iiif/45763240/610,845,13,12/full/0/native.jpg)
(
![](https://ids.lib.harvard.edu/ids/iiif/45763240/509,844,14,21/full/0/native.jpg)
LO
![](https://ids.lib.harvard.edu/ids/iiif/45763240/312,847,14,22/full/0/native.jpg)
♡
![](https://ids.lib.harvard.edu/ids/iiif/45763240/808,844,13,16/full/0/native.jpg)
∞
![](https://ids.lib.harvard.edu/ids/iiif/45763240/213,847,15,27/full/0/native.jpg)
~