Machine Generated Data
Tags
Amazon
created on 2019-11-01
Clarifai
created on 2019-11-01
Imagga
created on 2019-11-01
dog | 57.6 | |
| ||
shepherd dog | 54.2 | |
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canine | 30.6 | |
| ||
terrier | 28.3 | |
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domestic animal | 27.4 | |
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hunting dog | 26 | |
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black | 15.6 | |
| ||
pet | 14.7 | |
| ||
cold | 13.8 | |
| ||
portrait | 12.3 | |
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outdoors | 11.9 | |
| ||
cat | 10.8 | |
| ||
person | 10.7 | |
| ||
smile | 10.7 | |
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face | 10.6 | |
| ||
old | 10.4 | |
| ||
television | 10.2 | |
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animals | 10.2 | |
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snow | 10.2 | |
| ||
man | 10.1 | |
| ||
male | 9.9 | |
| ||
park | 9.9 | |
| ||
landscape | 9.7 | |
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grass | 9.5 | |
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people | 9.5 | |
| ||
outdoor | 9.2 | |
| ||
sky | 8.9 | |
| ||
river | 8.9 | |
| ||
happy | 8.8 | |
| ||
water | 8.7 | |
| ||
art | 8.6 | |
| ||
cute | 8.6 | |
| ||
eyes | 8.6 | |
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close | 8.6 | |
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fur | 8.4 | |
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closeup | 8.1 | |
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hair | 7.9 | |
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day | 7.8 | |
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wild | 7.8 | |
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happiness | 7.8 | |
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adult | 7.8 | |
| ||
travel | 7.7 | |
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pets | 7.7 | |
| ||
winter | 7.7 | |
| ||
hound | 7.4 | |
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dirty | 7.2 | |
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holiday | 7.2 | |
| ||
summer | 7.1 | |
|
Google
created on 2019-11-01
Photograph | 95.4 | |
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Photographic paper | 88.8 | |
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Picture frame | 86.5 | |
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Snapshot | 83.3 | |
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Stock photography | 75.9 | |
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Art | 75.5 | |
| ||
Painting | 74.2 | |
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Photography | 67.8 | |
| ||
Room | 65.7 | |
| ||
Visual arts | 62.5 | |
| ||
Black-and-white | 56.4 | |
|
Color Analysis
Feature analysis
Categories
Imagga
pets animals | 92.6% | |
| ||
nature landscape | 2.7% | |
| ||
cars vehicles | 1.1% | |
|
Captions
Microsoft
created on 2019-11-01
a black and white photo of a person | 68.3% | |
| ||
an old photo of a person | 68.2% | |
| ||
a white sign with black smoke | 50.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20427661/858,595,48,16/full/0/native.jpg)
END
![](https://ids.lib.harvard.edu/ids/iiif/20427661/140,99,35,14/full/0/native.jpg)
LAST
![](https://ids.lib.harvard.edu/ids/iiif/20427661/139,100,86,14/full/0/native.jpg)
LAST SCne
![](https://ids.lib.harvard.edu/ids/iiif/20427661/186,98,40,11/full/0/native.jpg)
SCne
![](https://ids.lib.harvard.edu/ids/iiif/20427661/138,159,25,11/full/0/native.jpg)
re
![](https://ids.lib.harvard.edu/ids/iiif/20427661/889,500,42,15/full/0/native.jpg)
CHaieD
![](https://ids.lib.harvard.edu/ids/iiif/20427661/167,179,32,10/full/0/native.jpg)
fnts
![](https://ids.lib.harvard.edu/ids/iiif/20427661/196,169,31,11/full/0/native.jpg)
Dory)
![](https://ids.lib.harvard.edu/ids/iiif/20427661/137,158,129,13/full/0/native.jpg)
re V1AN org
![](https://ids.lib.harvard.edu/ids/iiif/20427661/225,158,42,13/full/0/native.jpg)
org
![](https://ids.lib.harvard.edu/ids/iiif/20427661/174,161,43,8/full/0/native.jpg)
V1AN
![](https://ids.lib.harvard.edu/ids/iiif/20427661/144,105,33,14/full/0/native.jpg)
L4ST
![](https://ids.lib.harvard.edu/ids/iiif/20427661/174,162,47,13/full/0/native.jpg)
RnLAN
![](https://ids.lib.harvard.edu/ids/iiif/20427661/170,180,31,15/full/0/native.jpg)
fats
![](https://ids.lib.harvard.edu/ids/iiif/20427661/244,288,43,15/full/0/native.jpg)
CHARSN
![](https://ids.lib.harvard.edu/ids/iiif/20427661/891,506,39,15/full/0/native.jpg)
CHdes
![](https://ids.lib.harvard.edu/ids/iiif/20427661/833,529,46,17/full/0/native.jpg)
STYX
![](https://ids.lib.harvard.edu/ids/iiif/20427661/844,567,34,12/full/0/native.jpg)
ety
![](https://ids.lib.harvard.edu/ids/iiif/20427661/861,600,47,17/full/0/native.jpg)
END
![](https://ids.lib.harvard.edu/ids/iiif/20427661/96,105,834,512/full/0/native.jpg)
L4ST
Tn RnLAN NDN9
fats
CHARSN
PERATM
CHdes
N STYX
ety
END
![](https://ids.lib.harvard.edu/ids/iiif/20427661/141,164,25,13/full/0/native.jpg)
Tn
![](https://ids.lib.harvard.edu/ids/iiif/20427661/228,161,42,14/full/0/native.jpg)
NDN9
![](https://ids.lib.harvard.edu/ids/iiif/20427661/96,329,47,14/full/0/native.jpg)
PERATM
![](https://ids.lib.harvard.edu/ids/iiif/20427661/796,525,17,19/full/0/native.jpg)
N