Machine Generated Data
Tags
Amazon
created on 2022-06-04
Nature | 99.4 | |
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Landscape | 98.3 | |
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Outdoors | 98.3 | |
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Scenery | 95.1 | |
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Aerial View | 86.3 | |
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Person | 81.6 | |
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Human | 81.6 | |
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Spire | 77.3 | |
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Steeple | 77.3 | |
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Building | 77.3 | |
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Architecture | 77.3 | |
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Tower | 77.3 | |
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Urban | 71.2 | |
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Snow | 68.7 | |
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Road | 68.3 | |
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City | 63 | |
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Town | 63 | |
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Tarmac | 59.9 | |
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Asphalt | 59.9 | |
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Weather | 57.6 | |
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Winter | 57.3 | |
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Neighborhood | 56.9 | |
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High Rise | 56.8 | |
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Intersection | 56.7 | |
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Shelter | 56.6 | |
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Countryside | 56.6 | |
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Rural | 56.6 | |
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Office Building | 56.4 | |
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Ice | 55.7 | |
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Tree | 55.3 | |
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Plant | 55.3 | |
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Storm | 55 | |
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Imagga
created on 2022-06-04
Google
created on 2022-06-04
Building | 93.3 | |
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Black | 89.8 | |
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Rectangle | 88.5 | |
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Window | 87.1 | |
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World | 87 | |
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Black-and-white | 84.1 | |
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Line | 81.8 | |
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Urban design | 81.3 | |
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Font | 79.7 | |
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Tints and shades | 77.4 | |
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Art | 76.3 | |
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Landscape | 73.6 | |
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Space | 73.4 | |
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Monochrome photography | 70.3 | |
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Sky | 70.1 | |
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Darkness | 69.6 | |
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Monochrome | 69.5 | |
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City | 69.4 | |
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Tower block | 69 | |
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Pattern | 67.7 | |
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Microsoft
created on 2022-06-04
black and white | 94.2 | |
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text | 90.9 | |
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building | 86.4 | |
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old | 63.6 | |
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white | 62.9 | |
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skyscraper | 60.5 | |
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vintage | 26.9 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488811/398,616,14,12/full/0/native.jpg)
AWS Rekognition
Age | 20-28 |
Gender | Male, 98.1% |
Happy | 33% |
Calm | 27.7% |
Sad | 22.3% |
Fear | 10.8% |
Surprised | 10.1% |
Disgusted | 3.3% |
Angry | 1.5% |
Confused | 0.6% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488811/700,770,41,100/full/0/native.jpg)
Person | 81.6% | |
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Categories
Imagga
paintings art | 33.6% | |
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nature landscape | 30.2% | |
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interior objects | 15.6% | |
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streetview architecture | 4.9% | |
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sunrises sunsets | 4.9% | |
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beaches seaside | 4.5% | |
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food drinks | 2% | |
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events parties | 1.4% | |
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text visuals | 1% | |
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Captions
Microsoft
created on 2022-06-04
a vintage photo of an old building | 72.4% | |
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a vintage photo of a large building | 72.3% | |
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a vintage photo of a building | 72.2% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488811/233,982,47,13/full/0/native.jpg)
FROM
![](https://ids.lib.harvard.edu/ids/iiif/20488811/51,977,83,22/full/0/native.jpg)
LOOKING
![](https://ids.lib.harvard.edu/ids/iiif/20488811/130,975,99,25/full/0/native.jpg)
NORTHERLY
![](https://ids.lib.harvard.edu/ids/iiif/20488811/51,973,362,29/full/0/native.jpg)
LOOKING NORTHERLY FROM HOTELPELHAM.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/683,975,81,20/full/0/native.jpg)
TIME2.01.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/580,972,183,24/full/0/native.jpg)
JULY15'95. TIME2.01.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/581,974,98,21/full/0/native.jpg)
JULY15'95.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/279,974,134,26/full/0/native.jpg)
HOTELPELHAM.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/52,977,718,24/full/0/native.jpg)
LOOKING NORTHERLY FROM HOTEL PELHAM.
JULY 1595. TIME2.01.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/52,979,83,22/full/0/native.jpg)
LOOKING
![](https://ids.lib.harvard.edu/ids/iiif/20488811/132,979,101,22/full/0/native.jpg)
NORTHERLY
![](https://ids.lib.harvard.edu/ids/iiif/20488811/236,979,49,22/full/0/native.jpg)
FROM
![](https://ids.lib.harvard.edu/ids/iiif/20488811/284,979,62,22/full/0/native.jpg)
HOTEL
![](https://ids.lib.harvard.edu/ids/iiif/20488811/339,979,72,22/full/0/native.jpg)
PELHAM
![](https://ids.lib.harvard.edu/ids/iiif/20488811/406,979,12,22/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/580,978,53,19/full/0/native.jpg)
JULY
![](https://ids.lib.harvard.edu/ids/iiif/20488811/628,978,57,19/full/0/native.jpg)
1595.
![](https://ids.lib.harvard.edu/ids/iiif/20488811/688,978,75,19/full/0/native.jpg)
TIME2.01