Machine Generated Data
Tags
Amazon
created on 2022-01-23
Human | 99.5 | |
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Person | 99.5 | |
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Person | 99.2 | |
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Building | 91.3 | |
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Person | 91 | |
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People | 87.6 | |
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Person | 87.4 | |
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Person | 85.5 | |
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Field | 83.5 | |
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Person | 83.3 | |
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Nature | 79.2 | |
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Person | 76.4 | |
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Outdoors | 73.8 | |
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Person | 70.2 | |
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Tree | 70 | |
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Plant | 70 | |
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Person | 70 | |
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Weather | 65.2 | |
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Person | 65.1 | |
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Arena | 61.8 | |
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Sport | 61.1 | |
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Sports | 61.1 | |
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Housing | 59.3 | |
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Team | 56.7 | |
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Team Sport | 56.7 | |
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Snow | 56.5 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
Google
created on 2022-01-23
Rectangle | 84 | |
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Tree | 83.6 | |
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Plant | 80.8 | |
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Grass | 80.4 | |
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Adaptation | 79.2 | |
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Font | 77.5 | |
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Tints and shades | 77.4 | |
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Snapshot | 74.3 | |
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Monochrome photography | 73.9 | |
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Landscape | 73.8 | |
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Monochrome | 71.7 | |
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Picture frame | 71.5 | |
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Pole | 67 | |
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Paper product | 66.9 | |
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Art | 65.5 | |
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Sport venue | 64.6 | |
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History | 64 | |
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Stock photography | 62.5 | |
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Room | 62.2 | |
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Visual arts | 58.2 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18835768/134,393,41,125/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/96,407,39,112/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/539,450,24,48/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/562,447,21,59/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/479,437,18,59/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/239,403,27,80/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/454,443,21,51/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/432,422,22,73/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/368,430,23,72/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18835768/266,430,18,41/full/0/native.jpg)
Person | 99.5% | |
|
Categories
Imagga
nature landscape | 76.1% | |
| ||
beaches seaside | 15.7% | |
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streetview architecture | 3.3% | |
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sunrises sunsets | 2% | |
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Captions
Microsoft
created on 2022-01-23
a vintage photo of a train | 65.3% | |
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a vintage photo of a field | 65.2% | |
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a vintage photo of some train tracks | 61.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18835768/430,777,171,27/full/0/native.jpg)
24065
![](https://ids.lib.harvard.edu/ids/iiif/18835768/740,437,180,29/full/0/native.jpg)
TOURIST
![](https://ids.lib.harvard.edu/ids/iiif/18835768/782,463,95,21/full/0/native.jpg)
HOME
![](https://ids.lib.harvard.edu/ids/iiif/18835768/811,486,35,7/full/0/native.jpg)
VACANCY
![](https://ids.lib.harvard.edu/ids/iiif/18835768/426,437,496,371/full/0/native.jpg)
TOURIST
HOME
VACANCY
24065
![](https://ids.lib.harvard.edu/ids/iiif/18835768/733,437,189,36/full/0/native.jpg)
TOURIST
![](https://ids.lib.harvard.edu/ids/iiif/18835768/783,465,97,24/full/0/native.jpg)
HOME
![](https://ids.lib.harvard.edu/ids/iiif/18835768/812,486,39,15/full/0/native.jpg)
VACANCY
![](https://ids.lib.harvard.edu/ids/iiif/18835768/426,777,189,31/full/0/native.jpg)
24065