Machine Generated Data
Tags
Amazon
created on 2023-10-05
City | 100 | |
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Road | 100 | |
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Street | 100 | |
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Urban | 100 | |
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Neighborhood | 99.4 | |
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Freeway | 98.2 | |
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Highway | 98.2 | |
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Utility Pole | 94.9 | |
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Suburb | 85 | |
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Tarmac | 76.6 | |
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Outdoors | 76.1 | |
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Bench | 71.7 | |
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Furniture | 71.7 | |
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Nature | 70.3 | |
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Plant | 64.9 | |
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Tree | 64.9 | |
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Person | 64.7 | |
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Road Sign | 60.4 | |
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Sign | 60.4 | |
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Symbol | 60.4 | |
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Intersection | 57.9 | |
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Machine | 57.7 | |
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Path | 56.5 | |
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Sidewalk | 56.5 | |
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Architecture | 56.2 | |
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Building | 56.2 | |
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Clock Tower | 56.2 | |
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Tower | 56.2 | |
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Countryside | 55.8 | |
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Hut | 55.8 | |
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Rural | 55.8 | |
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Bus Stop | 55.7 | |
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Shelter | 55.6 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-05
Google
created on 2018-05-11
road | 96.9 | |
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residential area | 94.4 | |
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lane | 93.8 | |
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town | 91.6 | |
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asphalt | 91.1 | |
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house | 91 | |
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suburb | 89.4 | |
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infrastructure | 88.4 | |
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car | 87.2 | |
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black and white | 85.7 | |
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street | 76.8 | |
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neighbourhood | 74.4 | |
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home | 73.4 | |
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sky | 71.2 | |
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monochrome | 68.8 | |
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history | 66.6 | |
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line | 66.5 | |
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road surface | 66.1 | |
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monochrome photography | 65.5 | |
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street light | 54 | |
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Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 91.8% | |
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nature landscape | 3.7% | |
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streetview architecture | 2.8% | |
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beaches seaside | 1.2% | |
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Captions
Microsoft
created on 2018-05-11
a black and white photo of a house | 93% | |
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a sign on the side of a road | 92.4% | |
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a black sign with white text on a road | 89.6% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43158646/532,220,53,18/full/0/native.jpg)
SOHIO
![](https://ids.lib.harvard.edu/ids/iiif/43158646/523,353,28,9/full/0/native.jpg)
COTTIE
![](https://ids.lib.harvard.edu/ids/iiif/43158646/505,316,15,69/full/0/native.jpg)
EATS
![](https://ids.lib.harvard.edu/ids/iiif/43158646/710,354,38,19/full/0/native.jpg)
Coca-Cola
![](https://ids.lib.harvard.edu/ids/iiif/43158646/531,251,29,9/full/0/native.jpg)
STANDARD
![](https://ids.lib.harvard.edu/ids/iiif/43158646/539,350,9,4/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/43158646/571,254,18,6/full/0/native.jpg)
DEALER
![](https://ids.lib.harvard.edu/ids/iiif/43158646/523,347,29,15/full/0/native.jpg)
AS COTTIE -
![](https://ids.lib.harvard.edu/ids/iiif/43158646/523,348,13,6/full/0/native.jpg)
AS
![](https://ids.lib.harvard.edu/ids/iiif/43158646/531,251,58,10/full/0/native.jpg)
STANDARD OC DEALER
![](https://ids.lib.harvard.edu/ids/iiif/43158646/561,253,8,7/full/0/native.jpg)
OC
![](https://ids.lib.harvard.edu/ids/iiif/43158646/689,353,64,27/full/0/native.jpg)
Coca Cola
![](https://ids.lib.harvard.edu/ids/iiif/43158646/689,353,44,26/full/0/native.jpg)
Coca
![](https://ids.lib.harvard.edu/ids/iiif/43158646/731,356,22,24/full/0/native.jpg)
Cola