Machine Generated Data
Tags
Amazon
created on 2022-05-28
Clarifai
created on 2023-10-30
Imagga
created on 2022-05-28
chair | 36 | |
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device | 25.5 | |
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seat | 25.2 | |
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fastener | 24.6 | |
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dowel | 24.3 | |
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board | 22.8 | |
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folding chair | 22.8 | |
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furniture | 21.4 | |
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restraint | 18.4 | |
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structure | 18.3 | |
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blank | 15.4 | |
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turnstile | 14.9 | |
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support | 14.5 | |
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wood | 14.2 | |
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paper | 14.1 | |
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empty | 13.7 | |
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gate | 13.6 | |
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old | 13.2 | |
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wooden | 12.3 | |
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work | 11.2 | |
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texture | 11.1 | |
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information | 10.6 | |
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close | 10.3 | |
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symbol | 10.1 | |
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message | 10 | |
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interior | 9.7 | |
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brown | 9.6 | |
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beach | 9.3 | |
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business | 9.1 | |
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movable barrier | 9 | |
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home | 8.8 | |
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antique | 8.6 | |
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nobody | 8.5 | |
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barrier | 8.5 | |
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travel | 8.4 | |
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vintage | 8.3 | |
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sand | 8 | |
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light | 8 | |
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joinery | 7.9 | |
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text | 7.8 | |
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sea | 7.8 | |
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black | 7.8 | |
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education | 7.8 | |
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3d | 7.7 | |
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grunge | 7.7 | |
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outdoor | 7.6 | |
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pattern | 7.5 | |
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house of cards | 7.5 | |
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outdoors | 7.5 | |
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page | 7.4 | |
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vacation | 7.4 | |
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art | 7.3 | |
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product | 7.3 | |
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room | 7.3 | |
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metal | 7.2 | |
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holiday | 7.2 | |
|
Google
created on 2022-05-28
Rectangle | 88.8 | |
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Wood | 87.5 | |
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Grey | 84.2 | |
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Font | 83.3 | |
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Tints and shades | 76.5 | |
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Cross | 75.8 | |
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Parallel | 75.6 | |
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Pattern | 72.4 | |
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Monochrome photography | 72.3 | |
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Monochrome | 72.3 | |
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Chair | 70.3 | |
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Symbol | 70.1 | |
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Symmetry | 63.8 | |
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Logo | 61.3 | |
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Darkness | 60.8 | |
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Still life photography | 60.3 | |
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Circle | 59.4 | |
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Number | 56.3 | |
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Brand | 54.6 | |
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Room | 51.1 | |
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Microsoft
created on 2022-05-28
black and white | 89.7 | |
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outdoor | 89.1 | |
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text | 84 | |
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shadow | 73.6 | |
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monochrome | 60.8 | |
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seat | 40.2 | |
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table | 31.3 | |
|
Color Analysis
Categories
Imagga
interior objects | 95.4% | |
| ||
paintings art | 2.3% | |
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streetview architecture | 1.1% | |
|
Captions
Microsoft
created on 2022-05-28
a wooden bench | 68.8% | |
| ||
a wooden bench in front of a building | 42.9% | |
| ||
a wooden bench sitting in front of a building | 37.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18482571/853,945,23,16/full/0/native.jpg)
28
![](https://ids.lib.harvard.edu/ids/iiif/18482571/988,944,17,19/full/0/native.jpg)
69
![](https://ids.lib.harvard.edu/ids/iiif/18482571/887,947,22,12/full/0/native.jpg)
80
![](https://ids.lib.harvard.edu/ids/iiif/18482571/853,941,153,22/full/0/native.jpg)
28 80 Richar 69
![](https://ids.lib.harvard.edu/ids/iiif/18482571/928,941,63,21/full/0/native.jpg)
Richar
![](https://ids.lib.harvard.edu/ids/iiif/18482571/853,940,157,29/full/0/native.jpg)
28 80 релка 69
![](https://ids.lib.harvard.edu/ids/iiif/18482571/889,943,22,25/full/0/native.jpg)
80
![](https://ids.lib.harvard.edu/ids/iiif/18482571/991,940,19,26/full/0/native.jpg)
69
![](https://ids.lib.harvard.edu/ids/iiif/18482571/853,943,20,26/full/0/native.jpg)
28
![](https://ids.lib.harvard.edu/ids/iiif/18482571/930,941,57,26/full/0/native.jpg)
релка