Machine Generated Data
Tags
Amazon
created on 2023-10-25
Clarifai
created on 2018-10-06
Imagga
created on 2018-10-06
sewage system | 100 | |
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facility | 85.8 | |
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old | 27.8 | |
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grunge | 27.2 | |
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frame | 26 | |
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pattern | 25.3 | |
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vintage | 22.3 | |
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blank | 21.4 | |
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design | 21.4 | |
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texture | 20.8 | |
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border | 19.9 | |
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wall | 19.8 | |
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paper | 19.6 | |
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art | 18.5 | |
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antique | 18.4 | |
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line | 18 | |
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retro | 17.2 | |
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rough | 16.4 | |
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empty | 15.4 | |
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dirty | 15.3 | |
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textured | 14.9 | |
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space | 14.7 | |
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material | 14.3 | |
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grungy | 14.2 | |
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surface | 14.1 | |
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graphic | 13.9 | |
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business | 13.4 | |
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construction | 12.8 | |
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paint | 12.7 | |
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aged | 12.7 | |
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black | 12.6 | |
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backdrop | 12.4 | |
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weathered | 12.3 | |
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backgrounds | 11.3 | |
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office | 11.2 | |
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note | 11 | |
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color | 10.6 | |
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damaged | 10.5 | |
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ancient | 10.4 | |
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page | 10.2 | |
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architecture | 10.1 | |
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wallpaper | 9.9 | |
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gray | 9.9 | |
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film | 9.3 | |
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number | 9.3 | |
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document | 9.3 | |
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letter | 9.2 | |
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negative | 9.2 | |
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modern | 9.1 | |
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decoration | 8.8 | |
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text | 8.7 | |
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edge | 8.6 | |
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drawing | 8.6 | |
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wreckage | 8.2 | |
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lines | 8.1 | |
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card | 7.7 | |
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rust | 7.7 | |
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industry | 7.7 | |
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sky | 7.6 | |
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rusty | 7.6 | |
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wood | 7.5 | |
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element | 7.4 | |
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style | 7.4 | |
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brown | 7.4 | |
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message | 7.3 | |
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digital | 7.3 | |
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industrial | 7.3 | |
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metal | 7.2 | |
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part | 7.1 | |
|
Google
created on 2018-10-06
black | 95.4 | |
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text | 89.2 | |
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black and white | 88.6 | |
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font | 66.2 | |
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monochrome | 60.8 | |
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monochrome photography | 60.3 | |
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angle | 56.7 | |
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pattern | 54.9 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979167/235,66,83,44/full/0/native.jpg)
Airplane | 87.6% | |
|
Categories
Imagga
streetview architecture | 55.3% | |
| ||
text visuals | 17% | |
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paintings art | 16% | |
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nature landscape | 4.1% | |
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pets animals | 3.5% | |
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beaches seaside | 2.8% | |
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interior objects | 1% | |
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people portraits | 0.1% | |
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food drinks | 0.1% | |
|
Captions
Microsoft
created on 2018-10-06
a close up of a white building | 40.2% | |
| ||
a black and white photo of a building | 35.4% | |
| ||
a close up of a building | 35.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979167/8,9,38,7/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979167/558,9,31,8/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/38979167/705,184,6,7/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/38979167/199,180,18,9/full/0/native.jpg)
2A
![](https://ids.lib.harvard.edu/ids/iiif/38979167/799,181,15,8/full/0/native.jpg)
5A
![](https://ids.lib.harvard.edu/ids/iiif/38979167/616,10,25,8/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38979167/401,180,15,8/full/0/native.jpg)
ЗА
![](https://ids.lib.harvard.edu/ids/iiif/38979167/104,180,7,8/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/38979167/598,182,19,9/full/0/native.jpg)
4A
![](https://ids.lib.harvard.edu/ids/iiif/38979167/904,183,6,6/full/0/native.jpg)
6
![](https://ids.lib.harvard.edu/ids/iiif/38979167/64,8,46,7/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979167/510,8,170,10/full/0/native.jpg)
KODAK PLUS x PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979167/998,183,16,7/full/0/native.jpg)
60
![](https://ids.lib.harvard.edu/ids/iiif/38979167/998,9,10,9/full/0/native.jpg)
S'
![](https://ids.lib.harvard.edu/ids/iiif/38979167/600,10,6,7/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/38979167/944,9,65,10/full/0/native.jpg)
KODAK S'
![](https://ids.lib.harvard.edu/ids/iiif/38979167/646,11,34,7/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979167/504,183,5,3/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/38979167/10,7,1006,190/full/0/native.jpg)
KODAK SAFETY HLM
KODAK PLUS X PA
→2A
3A.
264
![](https://ids.lib.harvard.edu/ids/iiif/38979167/10,8,39,13/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979167/51,8,62,13/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979167/117,8,46,13/full/0/native.jpg)
HLM
![](https://ids.lib.harvard.edu/ids/iiif/38979167/559,7,35,14/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/38979167/597,9,13,11/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/38979167/616,10,19,11/full/0/native.jpg)
PA
![](https://ids.lib.harvard.edu/ids/iiif/38979167/182,180,20,12/full/0/native.jpg)
→
![](https://ids.lib.harvard.edu/ids/iiif/38979167/200,180,21,13/full/0/native.jpg)
2A
![](https://ids.lib.harvard.edu/ids/iiif/38979167/400,181,19,13/full/0/native.jpg)
3A
![](https://ids.lib.harvard.edu/ids/iiif/38979167/415,181,9,13/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/38979167/980,183,36,14/full/0/native.jpg)
264