Machine Generated Data
Tags
Amazon
created on 2019-06-04
Building | 96.8 | |
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Housing | 95.2 | |
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Nature | 92.8 | |
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Poster | 92.8 | |
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Advertisement | 92.8 | |
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Outdoors | 92.1 | |
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Person | 90.5 | |
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Human | 90.5 | |
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Countryside | 90.2 | |
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Rural | 90.2 | |
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Shelter | 90.2 | |
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Person | 89.2 | |
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Person | 86.5 | |
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Person | 85.4 | |
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House | 82.4 | |
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Flyer | 82.1 | |
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Brochure | 82.1 | |
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Paper | 82.1 | |
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Cottage | 75.5 | |
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Person | 70.4 | |
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Urban | 70.4 | |
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Villa | 68 | |
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Person | 64.9 | |
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Person | 63.6 | |
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Indoors | 63.2 | |
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Interior Design | 63.2 | |
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Text | 62.2 | |
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Person | 60.8 | |
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Neighborhood | 58.9 | |
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Spire | 56.1 | |
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Tower | 56.1 | |
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Architecture | 56.1 | |
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Steeple | 56.1 | |
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Diagram | 55.5 | |
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Plan | 55.5 | |
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Plot | 55.5 | |
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Person | 48.3 | |
|
Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
Google
created on 2019-06-04
Home | 96.1 | |
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Photograph | 95.6 | |
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House | 94.5 | |
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Property | 93 | |
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Building | 78.8 | |
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Real estate | 71.4 | |
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Residential area | 68.8 | |
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Adaptation | 67 | |
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Estate | 66.3 | |
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Room | 65.7 | |
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Architecture | 65.5 | |
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Cottage | 62.5 | |
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Paper product | 60.9 | |
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History | 57.6 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20576639/817,388,13,24/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/800,384,10,29/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/626,386,17,27/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/676,388,15,31/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/713,389,16,28/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/838,387,16,25/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/591,386,12,23/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/927,396,11,28/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/20576639/744,389,19,27/full/0/native.jpg)
Person | 90.5% | |
|
Categories
Imagga
paintings art | 53.5% | |
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text visuals | 26.4% | |
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streetview architecture | 7.9% | |
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interior objects | 3.6% | |
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nature landscape | 3.6% | |
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food drinks | 3.3% | |
|
Captions
Microsoft
created on 2019-06-04
a sign in front of a house | 90.7% | |
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a house that has a sign on the side of a building | 90% | |
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a white sign in front of a house | 86.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20576639/457,25,60,13/full/0/native.jpg)
Industrial
![](https://ids.lib.harvard.edu/ids/iiif/20576639/457,25,145,13/full/0/native.jpg)
Industrial Welfare Work
![](https://ids.lib.harvard.edu/ids/iiif/20576639/518,25,47,13/full/0/native.jpg)
Welfare
![](https://ids.lib.harvard.edu/ids/iiif/20576639/567,25,35,13/full/0/native.jpg)
Work
![](https://ids.lib.harvard.edu/ids/iiif/20576639/574,540,15,8/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/20576639/438,562,57,10/full/0/native.jpg)
Dipensary.
![](https://ids.lib.harvard.edu/ids/iiif/20576639/559,540,11,6/full/0/native.jpg)
an
![](https://ids.lib.harvard.edu/ids/iiif/20576639/459,537,36,9/full/0/native.jpg)
village
![](https://ids.lib.harvard.edu/ids/iiif/20576639/459,515,34,8/full/0/native.jpg)
ILARCUS
![](https://ids.lib.harvard.edu/ids/iiif/20576639/421,560,17,11/full/0/native.jpg)
IT.
![](https://ids.lib.harvard.edu/ids/iiif/20576639/535,505,37,11/full/0/native.jpg)
COP ATY
![](https://ids.lib.harvard.edu/ids/iiif/20576639/459,537,130,10/full/0/native.jpg)
village 18 an the
![](https://ids.lib.harvard.edu/ids/iiif/20576639/458,508,120,20/full/0/native.jpg)
ILARCUS VIBCOSR PROINSYLVANTA COP ATY
![](https://ids.lib.harvard.edu/ids/iiif/20576639/498,507,36,8/full/0/native.jpg)
VIBCOSR
![](https://ids.lib.harvard.edu/ids/iiif/20576639/519,514,60,11/full/0/native.jpg)
PROINSYLVANTA
![](https://ids.lib.harvard.edu/ids/iiif/20576639/527,539,12,8/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/20576639/425,4,593,574/full/0/native.jpg)
3 n 249.9. .
Industrial Welfare Work
coPASY
MAD
Th
T
E run an tive go-
I1. Diepenaary.
![](https://ids.lib.harvard.edu/ids/iiif/20576639/935,4,10,12/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/20576639/944,4,15,11/full/0/native.jpg)
n
![](https://ids.lib.harvard.edu/ids/iiif/20576639/961,4,41,12/full/0/native.jpg)
249.9.
![](https://ids.lib.harvard.edu/ids/iiif/20576639/1000,4,18,14/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20576639/463,30,55,13/full/0/native.jpg)
Industrial
![](https://ids.lib.harvard.edu/ids/iiif/20576639/521,30,46,13/full/0/native.jpg)
Welfare
![](https://ids.lib.harvard.edu/ids/iiif/20576639/571,30,33,12/full/0/native.jpg)
Work
![](https://ids.lib.harvard.edu/ids/iiif/20576639/537,511,37,14/full/0/native.jpg)
coPASY
![](https://ids.lib.harvard.edu/ids/iiif/20576639/462,513,27,13/full/0/native.jpg)
MAD
![](https://ids.lib.harvard.edu/ids/iiif/20576639/444,541,12,10/full/0/native.jpg)
Th
![](https://ids.lib.harvard.edu/ids/iiif/20576639/425,542,7,8/full/0/native.jpg)
T
![](https://ids.lib.harvard.edu/ids/iiif/20576639/489,546,7,11/full/0/native.jpg)
E
![](https://ids.lib.harvard.edu/ids/iiif/20576639/546,541,13,12/full/0/native.jpg)
run
![](https://ids.lib.harvard.edu/ids/iiif/20576639/562,541,12,11/full/0/native.jpg)
an
![](https://ids.lib.harvard.edu/ids/iiif/20576639/576,540,17,11/full/0/native.jpg)
tive
![](https://ids.lib.harvard.edu/ids/iiif/20576639/596,540,13,11/full/0/native.jpg)
go-
![](https://ids.lib.harvard.edu/ids/iiif/20576639/425,565,16,11/full/0/native.jpg)
I1.
![](https://ids.lib.harvard.edu/ids/iiif/20576639/444,565,54,13/full/0/native.jpg)
Diepenaary.