Machine Generated Data
Tags
Clarifai
created on 2023-10-29
Imagga
created on 2022-06-17
knife | 100 | |
| ||
letter opener | 59 | |
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blade | 54 | |
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dagger | 52 | |
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knife blade | 46.6 | |
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edge tool | 44.2 | |
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cutting implement | 43.4 | |
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weapon | 39.7 | |
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tool | 33.6 | |
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cutter | 32.4 | |
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pen | 24.7 | |
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object | 20.5 | |
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scabbard | 20 | |
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metal | 18.5 | |
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sharp | 18.1 | |
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closeup | 17.5 | |
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steel | 16.9 | |
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close | 16.6 | |
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paper | 15.7 | |
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black | 15.6 | |
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cigarette | 15.6 | |
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danger | 15.5 | |
| ||
sheath | 15.4 | |
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cleaver | 15.4 | |
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equipment | 14.7 | |
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silver | 13.3 | |
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cut | 11.7 | |
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stainless | 11.6 | |
| ||
addiction | 11.6 | |
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handle | 11.5 | |
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business | 10.9 | |
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protective covering | 10.8 | |
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tobacco | 10.8 | |
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smoking | 10.8 | |
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pencil | 10.7 | |
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smoke | 10.2 | |
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work | 10.2 | |
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single | 9.9 | |
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office | 9.6 | |
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metallic | 9.2 | |
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wood | 9.2 | |
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kitchen | 9 | |
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risk | 8.6 | |
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iron | 8.4 | |
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old | 8.4 | |
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sign | 8.3 | |
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shiny | 7.9 | |
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filter | 7.9 | |
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cutting | 7.7 | |
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edge | 7.7 | |
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health | 7.6 | |
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dangerous | 7.6 | |
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finance | 7.6 | |
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chrome | 7.5 | |
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write | 7.5 | |
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art | 7.2 | |
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covering | 7.2 | |
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medicine | 7 | |
|
Google
created on 2022-06-17
Rectangle | 87.5 | |
| ||
Font | 79.8 | |
| ||
Metal | 65.5 | |
| ||
Fashion accessory | 64.8 | |
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Titanium | 62.1 | |
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Drawing | 60.6 | |
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Illustration | 58.4 | |
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Monochrome photography | 58.2 | |
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Still life photography | 56.6 | |
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Science | 56.3 | |
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Art | 55.6 | |
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Tool | 53.4 | |
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Office supplies | 52 | |
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Monochrome | 50.4 | |
|
Color Analysis
Categories
Imagga
text visuals | 78.6% | |
| ||
nature landscape | 14.7% | |
| ||
beaches seaside | 2.6% | |
| ||
cars vehicles | 1.1% | |
|
Captions
Microsoft
created on 2022-06-17
a vintage photo of a knife | 59.2% | |
| ||
an old photo of a knife | 59.1% | |
| ||
old photo of a knife | 51.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20682400/688,600,18,8/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/20682400/559,604,12,7/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/20682400/389,606,8,7/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/20682400/291,610,5,4/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/20682400/625,603,13,7/full/0/native.jpg)
12
![](https://ids.lib.harvard.edu/ids/iiif/20682400/520,605,10,7/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/20682400/357,608,8,7/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/20682400/559,600,147,11/full/0/native.jpg)
10 11 12 13 14
![](https://ids.lib.harvard.edu/ids/iiif/20682400/657,601,15,9/full/0/native.jpg)
13
![](https://ids.lib.harvard.edu/ids/iiif/20682400/487,606,9,7/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/20682400/421,606,10,7/full/0/native.jpg)
6
![](https://ids.lib.harvard.edu/ids/iiif/20682400/453,606,43,7/full/0/native.jpg)
71 8
![](https://ids.lib.harvard.edu/ids/iiif/20682400/324,610,5,3/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20682400/592,603,9,7/full/0/native.jpg)
11
![](https://ids.lib.harvard.edu/ids/iiif/20682400/453,606,11,7/full/0/native.jpg)
71
![](https://ids.lib.harvard.edu/ids/iiif/20682400/725,600,9,7/full/0/native.jpg)
IC
![](https://ids.lib.harvard.edu/ids/iiif/20682400/138,342,207,92/full/0/native.jpg)
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