Machine Generated Data
Tags
Amazon
created on 2023-10-25
Clarifai
created on 2018-10-06
Imagga
created on 2018-10-06
fastener | 44.3 | |
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device | 41.3 | |
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restraint | 31.2 | |
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catch | 27 | |
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metal | 22.5 | |
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latch | 20.8 | |
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locker | 20.1 | |
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lock | 17.8 | |
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equipment | 15.5 | |
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technology | 14.1 | |
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water | 14 | |
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padlock | 13.7 | |
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wall | 13.7 | |
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industry | 13.7 | |
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steel | 13.3 | |
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old | 13.2 | |
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close | 13.1 | |
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closeup | 12.8 | |
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digital | 12.1 | |
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hasp | 11.9 | |
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plug | 11.6 | |
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iron | 11.2 | |
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safety | 11 | |
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light | 10.7 | |
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ice | 10.7 | |
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door | 10.5 | |
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protection | 10 | |
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tool | 9.9 | |
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computer | 9.6 | |
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construction | 9.4 | |
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power | 9.2 | |
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house | 9.2 | |
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security | 9.2 | |
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industrial | 9.1 | |
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drop | 9.1 | |
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solid | 8.9 | |
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liquid | 8.7 | |
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work | 8.6 | |
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black | 8.4 | |
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electrical device | 8.4 | |
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object | 8.1 | |
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silver | 8 | |
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building | 7.9 | |
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pencil sharpener | 7.9 | |
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business | 7.9 | |
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cable | 7.9 | |
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cold | 7.7 | |
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crystal | 7.7 | |
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electricity | 7.6 | |
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wood | 7.5 | |
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electric | 7.5 | |
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electronic | 7.5 | |
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machine | 7.4 | |
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safe | 7.4 | |
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connection | 7.3 | |
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dirty | 7.2 | |
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transparent | 7.2 | |
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wet | 7.2 | |
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cool | 7.1 | |
|
Google
created on 2018-10-06
black and white | 93.9 | |
| ||
photography | 83.2 | |
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monochrome photography | 83.1 | |
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monochrome | 65.7 | |
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font | 52.7 | |
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product | 51.8 | |
|
Microsoft
created on 2018-10-06
vending machine | 12.9 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/44806685/72,821,48,179/full/0/native.jpg)
Gun | 71.5% | |
|
Categories
Imagga
paintings art | 80.5% | |
| ||
food drinks | 11.8% | |
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streetview architecture | 4.1% | |
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pets animals | 0.8% | |
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people portraits | 0.7% | |
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text visuals | 0.7% | |
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interior objects | 0.6% | |
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macro flowers | 0.4% | |
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nature landscape | 0.2% | |
| ||
cars vehicles | 0.1% | |
|
Captions
Microsoft
created on 2018-10-06
a person standing in front of a door | 62.8% | |
| ||
a person standing next to a door | 47.9% | |
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a close up of a machine | 47.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,314,8,11/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/44806685/184,127,8,12/full/0/native.jpg)
15
![](https://ids.lib.harvard.edu/ids/iiif/44806685/14,775,7,39/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,720,6,11/full/0/native.jpg)
12
![](https://ids.lib.harvard.edu/ids/iiif/44806685/15,823,6,21/full/0/native.jpg)
TRI
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,18,8,22/full/0/native.jpg)
15A
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,521,8,13/full/0/native.jpg)
13
![](https://ids.lib.harvard.edu/ids/iiif/44806685/14,912,7,33/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,617,8,22/full/0/native.jpg)
12A
![](https://ids.lib.harvard.edu/ids/iiif/44806685/14,775,8,170/full/0/native.jpg)
KODAK TRI x PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,220,8,21/full/0/native.jpg)
14A
![](https://ids.lib.harvard.edu/ids/iiif/44806685/15,880,6,24/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/44806685/15,857,6,6/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/44806685/14,326,8,96/full/0/native.jpg)
SAFETY FILM
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,815,7,17/full/0/native.jpg)
11A
![](https://ids.lib.harvard.edu/ids/iiif/44806685/14,326,8,46/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,222,14,106/full/0/native.jpg)
14
14A
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,312,14,16/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/44806685/185,222,13,24/full/0/native.jpg)
14A