Machine Generated Data
Tags
Amazon
created on 2022-05-27
Clarifai
created on 2023-10-30
Imagga
created on 2022-05-27
beam | 38.4 | |
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construction | 25.7 | |
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wall | 25 | |
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structure | 24.8 | |
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building | 24.5 | |
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architecture | 24.4 | |
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old | 23.7 | |
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industrial | 20 | |
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grunge | 18.7 | |
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industry | 17.9 | |
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wood | 17.5 | |
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texture | 17.4 | |
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urban | 15.7 | |
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steel | 15 | |
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pattern | 14.4 | |
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city | 14.1 | |
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vintage | 14.1 | |
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brown | 14 | |
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metal | 13.7 | |
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dirty | 13.5 | |
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ancient | 13 | |
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art | 12.9 | |
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machine | 12.4 | |
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frame | 11.9 | |
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parquet | 11.8 | |
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rough | 11.8 | |
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design | 11.8 | |
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aged | 11.8 | |
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antique | 11.2 | |
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iron | 11.2 | |
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exterior | 11.1 | |
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modern | 10.5 | |
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device | 10.5 | |
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power | 10.1 | |
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house | 10 | |
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landmark | 9.9 | |
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support | 9.9 | |
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tower | 9.8 | |
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material | 9.8 | |
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rust | 9.6 | |
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home | 9.6 | |
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stone | 9.3 | |
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historic | 9.2 | |
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travel | 9.1 | |
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negative | 8.9 | |
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timber | 8.8 | |
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brick | 8.8 | |
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wallpaper | 8.4 | |
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factory | 8.2 | |
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work | 8.2 | |
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backgrounds | 8.1 | |
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history | 8 | |
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roof | 8 | |
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film | 8 | |
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wooden | 7.9 | |
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textured | 7.9 | |
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artistic | 7.8 | |
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barrier | 7.7 | |
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culture | 7.7 | |
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heavy | 7.6 | |
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damaged | 7.6 | |
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weathered | 7.6 | |
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paper | 7.4 | |
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oil | 7.4 | |
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town | 7.4 | |
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retro | 7.4 | |
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new | 7.3 | |
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step | 7.2 | |
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equipment | 7.1 | |
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river | 7.1 | |
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pipe | 7.1 | |
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sky | 7 | |
|
Google
created on 2022-05-27
Wood | 87.4 | |
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Water | 76.3 | |
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Monochrome | 69 | |
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Urban design | 67.6 | |
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Art | 66.3 | |
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Landscape | 65.1 | |
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History | 63.8 | |
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Metal | 59.2 | |
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Lumber | 57.5 | |
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Monochrome photography | 56.5 | |
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Transport | 56.3 | |
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Steel | 52.7 | |
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Rectangle | 52 | |
|
Microsoft
created on 2022-05-27
construction | 89.7 | |
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factory | 88.9 | |
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building | 85 | |
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railroad | 77.2 | |
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black and white | 58.8 | |
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several | 10 | |
|
Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 41.6% | |
| ||
paintings art | 33.9% | |
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beaches seaside | 10.2% | |
| ||
nature landscape | 8.6% | |
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macro flowers | 3% | |
| ||
interior objects | 1.1% | |
|
Captions
Microsoft
created on 2022-05-27
a factory next to a building | 70.5% | |
| ||
a close up of a factory | 70.4% | |
| ||
a factory by a building | 70.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/17817283/153,999,18,17/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/17817283/289,999,20,14/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/17817283/315,988,91,26/full/0/native.jpg)
BOYLSTON
![](https://ids.lib.harvard.edu/ids/iiif/17817283/246,791,49,34/full/0/native.jpg)
GAS
![](https://ids.lib.harvard.edu/ids/iiif/17817283/423,987,83,26/full/0/native.jpg)
TREMONT
![](https://ids.lib.harvard.edu/ids/iiif/17817283/404,991,23,18/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/17817283/217,784,78,55/full/0/native.jpg)
8° GAS
![](https://ids.lib.harvard.edu/ids/iiif/17817283/249,999,36,17/full/0/native.jpg)
COR.
![](https://ids.lib.harvard.edu/ids/iiif/17817283/217,801,30,27/full/0/native.jpg)
8°
![](https://ids.lib.harvard.edu/ids/iiif/17817283/176,991,68,25/full/0/native.jpg)
8"PIPE,
![](https://ids.lib.harvard.edu/ids/iiif/17817283/15,986,537,37/full/0/native.jpg)
*747 BREAK IN 8"PIPE, COR. OF BOYLSTON & TREMONT Srs.
![](https://ids.lib.harvard.edu/ids/iiif/17817283/88,996,62,23/full/0/native.jpg)
BREAK
![](https://ids.lib.harvard.edu/ids/iiif/17817283/513,986,39,22/full/0/native.jpg)
Srs.
![](https://ids.lib.harvard.edu/ids/iiif/17817283/664,981,93,38/full/0/native.jpg)
MAR.497.
![](https://ids.lib.harvard.edu/ids/iiif/17817283/15,989,64,34/full/0/native.jpg)
*747
![](https://ids.lib.harvard.edu/ids/iiif/17817283/0,775,763,286/full/0/native.jpg)
8 GAS
*747. BREAK IN 8" PIPE, COR. OF BOYLSTON & TREMONT STS.
MAR-497.
![](https://ids.lib.harvard.edu/ids/iiif/17817283/220,806,24,25/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/17817283/250,797,49,29/full/0/native.jpg)
GAS
![](https://ids.lib.harvard.edu/ids/iiif/17817283/18,997,21,26/full/0/native.jpg)
*
![](https://ids.lib.harvard.edu/ids/iiif/17817283/35,995,42,27/full/0/native.jpg)
747
![](https://ids.lib.harvard.edu/ids/iiif/17817283/70,995,11,26/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/17817283/89,994,62,27/full/0/native.jpg)
BREAK
![](https://ids.lib.harvard.edu/ids/iiif/17817283/153,993,21,27/full/0/native.jpg)
IN
![](https://ids.lib.harvard.edu/ids/iiif/17817283/186,993,17,26/full/0/native.jpg)
"
![](https://ids.lib.harvard.edu/ids/iiif/17817283/198,991,42,28/full/0/native.jpg)
PIPE
![](https://ids.lib.harvard.edu/ids/iiif/17817283/237,992,11,26/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/17817283/248,990,37,28/full/0/native.jpg)
COR
![](https://ids.lib.harvard.edu/ids/iiif/17817283/289,990,25,27/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/17817283/316,988,91,28/full/0/native.jpg)
BOYLSTON
![](https://ids.lib.harvard.edu/ids/iiif/17817283/408,988,20,26/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/17817283/428,985,83,29/full/0/native.jpg)
TREMONT
![](https://ids.lib.harvard.edu/ids/iiif/17817283/514,984,38,28/full/0/native.jpg)
STS
![](https://ids.lib.harvard.edu/ids/iiif/17817283/666,987,47,28/full/0/native.jpg)
MAR
![](https://ids.lib.harvard.edu/ids/iiif/17817283/703,989,15,25/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/17817283/708,989,48,27/full/0/native.jpg)
497