Machine Generated Data
Tags
Clarifai
created on 2023-10-29
Imagga
created on 2022-06-17
knife | 73 | |
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dagger | 65.2 | |
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weapon | 47.3 | |
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tool | 32.6 | |
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blade | 32.3 | |
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object | 25.7 | |
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knife blade | 23.4 | |
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quill | 20 | |
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close | 19.4 | |
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cutting implement | 18.8 | |
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pen | 18.6 | |
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equipment | 17.6 | |
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black | 16.8 | |
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sharp | 16.2 | |
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metal | 15.3 | |
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handle | 15.3 | |
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letter opener | 14.8 | |
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edge tool | 13.5 | |
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silver | 13.3 | |
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steel | 12.6 | |
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writing implement | 12.1 | |
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food | 12.1 | |
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fish | 11.9 | |
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kitchen | 11.6 | |
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closeup | 11.5 | |
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detail | 11.3 | |
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cutter | 11.1 | |
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animal | 9.9 | |
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hand | 9.9 | |
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single | 9.9 | |
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construction | 9.4 | |
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water | 8.7 | |
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scabbard | 8.4 | |
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sword | 8.4 | |
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old | 8.4 | |
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health | 8.3 | |
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metallic | 8.3 | |
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healthy | 8.2 | |
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utensil | 7.8 | |
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stainless | 7.8 | |
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cleaver | 7.7 | |
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line | 7.7 | |
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edge | 7.7 | |
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yellow | 7.3 | |
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danger | 7.3 | |
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diet | 7.3 | |
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home | 7.2 | |
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work | 7.1 | |
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Google
created on 2022-06-17
Plant | 96.2 | |
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Knife | 71.7 | |
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Wood | 70.3 | |
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Blade | 69.2 | |
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Metal | 68.7 | |
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Font | 66 | |
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Rectangle | 64.1 | |
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Still life photography | 63.6 | |
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Hunting knife | 56.4 | |
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Monochrome photography | 56 | |
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Illustration | 55.1 | |
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Artifact | 53.4 | |
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Stone tool | 51.6 | |
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Microsoft
created on 2022-06-17
text | 99 | |
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sky | 98.5 | |
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black and white | 82.8 | |
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old | 40.7 | |
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Color Analysis
Categories
Imagga
nature landscape | 63.5% | |
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cars vehicles | 18.3% | |
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beaches seaside | 10.7% | |
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text visuals | 3.7% | |
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interior objects | 1.6% | |
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Captions
Microsoft
created on 2022-06-17
a vintage photo of a plane | 38.7% | |
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a vintage photo of a bird flying in the sky | 30.6% | |
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a vintage photo of a bird | 30.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20682340/334,663,10,7/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/20682340/538,663,11,8/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/20682340/375,663,10,7/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/20682340/748,660,16,9/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/20682340/252,663,10,9/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/20682340/497,663,11,7/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/20682340/666,662,16,9/full/0/native.jpg)
12
![](https://ids.lib.harvard.edu/ids/iiif/20682340/626,663,11,8/full/0/native.jpg)
1/1
![](https://ids.lib.harvard.edu/ids/iiif/20682340/538,661,186,10/full/0/native.jpg)
9 10 1/1 12 13
![](https://ids.lib.harvard.edu/ids/iiif/20682340/293,664,10,7/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/20682340/456,663,51,8/full/0/native.jpg)
7 8
![](https://ids.lib.harvard.edu/ids/iiif/20682340/584,662,16,9/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/20682340/416,663,11,8/full/0/native.jpg)
61
![](https://ids.lib.harvard.edu/ids/iiif/20682340/708,661,16,9/full/0/native.jpg)
13
![](https://ids.lib.harvard.edu/ids/iiif/20682340/456,663,11,8/full/0/native.jpg)
7
![](https://ids.lib.harvard.edu/ids/iiif/20682340/215,663,7,7/full/0/native.jpg)
11
![](https://ids.lib.harvard.edu/ids/iiif/20682340/791,662,10,7/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/20682340/181,663,20,9/full/0/native.jpg)
METRIC