Machine Generated Data
Tags
Amazon
created on 2023-10-24
Clarifai
created on 2019-02-27
Imagga
created on 2019-02-27
mammal | 78.5 | |
| ||
placental | 66 | |
| ||
bat | 58.2 | |
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swine | 45.8 | |
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ungulate | 32.2 | |
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wildlife | 31.2 | |
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wild | 29.6 | |
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even-toed ungulate | 29.3 | |
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boar | 29 | |
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tarantula | 22.8 | |
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vertebrate | 21.6 | |
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spider | 19.5 | |
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animals | 19.4 | |
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peccary | 18.5 | |
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rodent | 17.3 | |
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fur | 16.7 | |
| ||
pet | 15.6 | |
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cute | 15.1 | |
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brown | 14.7 | |
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hair | 14.3 | |
| ||
arachnid | 14.1 | |
| ||
warthog | 13.1 | |
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wild boar | 12.8 | |
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arthropod | 12.7 | |
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domestic | 12.7 | |
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head | 12.6 | |
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animal | 12.2 | |
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close | 12 | |
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sand | 11.6 | |
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safari | 11.5 | |
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black | 10.8 | |
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hairy | 10.7 | |
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farm | 10.7 | |
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water | 10.7 | |
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mouse | 10.4 | |
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eyes | 10.3 | |
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zoo | 9.7 | |
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pig | 9.6 | |
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resting | 9.5 | |
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invertebrate | 9.3 | |
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beach | 9.3 | |
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park | 9.1 | |
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hog | 9 | |
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portrait | 8.4 | |
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outdoor | 8.4 | |
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outdoors | 8.2 | |
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eye | 8 | |
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natural | 8 | |
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grass | 7.9 | |
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cat | 7.8 | |
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travel | 7.7 | |
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tree | 7.7 | |
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south | 7.5 | |
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dog | 7.4 | |
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monkey | 7.2 | |
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face | 7.1 | |
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summer | 7.1 | |
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life | 7 | |
|
Google
created on 2019-02-27
Art | 82.4 | |
| ||
Visual arts | 78.9 | |
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Illustration | 75.9 | |
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Drawing | 72.9 | |
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Stock photography | 72.5 | |
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Photography | 72.5 | |
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Painting | 70.9 | |
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Still life photography | 66.5 | |
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Artwork | 59.1 | |
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Modern art | 57.4 | |
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Black-and-white | 56.4 | |
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Rock | 54.2 | |
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Printmaking | 51.9 | |
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Still life | 51.2 | |
|
Microsoft
created on 2019-02-27
animal | 23 | |
| ||
dog | 12.2 | |
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donkey | 5.4 | |
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wolf | 4.5 | |
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black and white | 3.6 | |
|
Color Analysis
Feature analysis
Categories
Imagga
pets animals | 96.2% | |
| ||
nature landscape | 3.7% | |
|
Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20460301/545,806,58,9/full/0/native.jpg)
VERNON
![](https://ids.lib.harvard.edu/ids/iiif/20460301/421,773,65,14/full/0/native.jpg)
DEATH
![](https://ids.lib.harvard.edu/ids/iiif/20460301/496,773,24,13/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/20460301/531,772,39,14/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20460301/425,806,59,9/full/0/native.jpg)
PICTURE
![](https://ids.lib.harvard.edu/ids/iiif/20460301/610,803,67,13/full/0/native.jpg)
GALLERY
![](https://ids.lib.harvard.edu/ids/iiif/20460301/68,732,50,9/full/0/native.jpg)
LANDSEER
![](https://ids.lib.harvard.edu/ids/iiif/20460301/341,806,40,10/full/0/native.jpg)
FROM
![](https://ids.lib.harvard.edu/ids/iiif/20460301/368,772,271,17/full/0/native.jpg)
THE DEATH OF THE STAG.
![](https://ids.lib.harvard.edu/ids/iiif/20460301/341,803,336,16/full/0/native.jpg)
FROM THE PICTURE IN THE VERNON GALLERY
![](https://ids.lib.harvard.edu/ids/iiif/20460301/583,772,57,13/full/0/native.jpg)
STAG.
![](https://ids.lib.harvard.edu/ids/iiif/20460301/489,807,14,8/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/20460301/62,732,107,9/full/0/native.jpg)
1. LANDSEER НА PADITED
![](https://ids.lib.harvard.edu/ids/iiif/20460301/140,734,29,5/full/0/native.jpg)
PADITED
![](https://ids.lib.harvard.edu/ids/iiif/20460301/520,836,15,6/full/0/native.jpg)
SHE
![](https://ids.lib.harvard.edu/ids/iiif/20460301/121,734,18,6/full/0/native.jpg)
НА
![](https://ids.lib.harvard.edu/ids/iiif/20460301/403,834,195,9/full/0/native.jpg)
SCORE SHE
![](https://ids.lib.harvard.edu/ids/iiif/20460301/77,821,14,6/full/0/native.jpg)
VITE
![](https://ids.lib.harvard.edu/ids/iiif/20460301/77,821,26,6/full/0/native.jpg)
VITE OF
![](https://ids.lib.harvard.edu/ids/iiif/20460301/62,735,4,4/full/0/native.jpg)
1.
![](https://ids.lib.harvard.edu/ids/iiif/20460301/76,830,87,8/full/0/native.jpg)
BE
![](https://ids.lib.harvard.edu/ids/iiif/20460301/108,821,46,6/full/0/native.jpg)
una
![](https://ids.lib.harvard.edu/ids/iiif/20460301/499,836,17,6/full/0/native.jpg)
SCORE