Machine Generated Data
Tags
Amazon
created on 2023-10-25
Clarifai
created on 2018-10-06
Imagga
created on 2018-10-06
business | 31 | |
| ||
pen | 30.9 | |
| ||
paper | 23.5 | |
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office | 21.7 | |
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envelope | 16.5 | |
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quill | 16.4 | |
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plan | 15.1 | |
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design | 14.6 | |
| ||
notebook | 14.4 | |
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container | 14 | |
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construction | 13.7 | |
| ||
finance | 13.5 | |
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work | 13.3 | |
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information | 13.3 | |
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success | 12.9 | |
| ||
money | 12.8 | |
| ||
architecture | 12.5 | |
| ||
financial | 12.5 | |
| ||
document | 12.1 | |
| ||
investment | 11.9 | |
| ||
technology | 11.9 | |
| ||
home appliance | 11.8 | |
| ||
iron | 11.8 | |
| ||
object | 11.7 | |
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diagram | 11.5 | |
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engineering | 11.4 | |
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equipment | 11.3 | |
| ||
pencil | 10.6 | |
| ||
graph | 10.6 | |
| ||
growth | 10.5 | |
| ||
drawing | 10.5 | |
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device | 10.4 | |
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home | 10.4 | |
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appliance | 9.9 | |
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computer | 9.8 | |
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book | 9.8 | |
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report | 9.7 | |
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project | 9.6 | |
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writing implement | 9.6 | |
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chart | 9.6 | |
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negative | 9.3 | |
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professional | 9.3 | |
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close | 9.1 | |
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data | 9.1 | |
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wealth | 9 | |
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bank | 9 | |
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film | 8.9 | |
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working | 8.8 | |
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blueprint | 8.8 | |
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closeup | 8.8 | |
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architect | 8.7 | |
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industry | 8.5 | |
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writing | 8.5 | |
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commerce | 8.4 | |
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old | 8.4 | |
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rule | 8.2 | |
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symbol | 8.1 | |
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idea | 8 | |
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structure | 7.9 | |
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building | 7.9 | |
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sketch | 7.9 | |
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drafting | 7.9 | |
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decoration | 7.9 | |
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education | 7.8 | |
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contractor | 7.8 | |
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mechanical | 7.8 | |
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builder | 7.7 | |
| ||
engineer | 7.7 | |
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development | 7.6 | |
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communication | 7.6 | |
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house | 7.5 | |
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savings | 7.5 | |
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manager | 7.4 | |
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laptop | 7.4 | |
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page | 7.4 | |
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phone | 7.4 | |
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black | 7.2 | |
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science | 7.1 | |
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market | 7.1 | |
|
Google
created on 2018-10-06
black and white | 90.2 | |
| ||
monochrome photography | 65 | |
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monochrome | 59.8 | |
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font | 54.2 | |
|
Microsoft
created on 2023-10-30
text | 98.2 | |
| ||
screenshot | 91.8 | |
| ||
sketch | 61.7 | |
|
Color Analysis
Feature analysis
Categories
Imagga
paintings art | 96.1% | |
| ||
interior objects | 3% | |
| ||
food drinks | 0.8% | |
| ||
pets animals | 0.1% | |
|
Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979138/927,4268,42,63/full/0/native.jpg)
12
![](https://ids.lib.harvard.edu/ids/iiif/38979138/933,211,44,61/full/0/native.jpg)
16
![](https://ids.lib.harvard.edu/ids/iiif/38979138/931,1182,44,63/full/0/native.jpg)
15
![](https://ids.lib.harvard.edu/ids/iiif/38979138/933,2250,42,69/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/38979138/927,3277,44,61/full/0/native.jpg)
13
![](https://ids.lib.harvard.edu/ids/iiif/38979138/50,4569,36,207/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979138/55,4826,34,108/full/0/native.jpg)
TRI
![](https://ids.lib.harvard.edu/ids/iiif/38979138/925,4781,44,93/full/0/native.jpg)
11A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/55,2327,42,248/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979138/54,2327,43,497/full/0/native.jpg)
SAFETY FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979138/54,2661,41,163/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979138/933,664,44,101/full/0/native.jpg)
15A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/929,3731,44,112/full/0/native.jpg)
12A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/49,4569,42,573/full/0/native.jpg)
KODAK TRI x F
![](https://ids.lib.harvard.edu/ids/iiif/38979138/71,497,28,36/full/0/native.jpg)
F
![](https://ids.lib.harvard.edu/ids/iiif/38979138/923,2733,52,118/full/0/native.jpg)
13A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/933,1671,44,118/full/0/native.jpg)
14A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/55,4999,34,32/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/38979138/60,68,49,583/full/0/native.jpg)
TRI X PAN F LUM
![](https://ids.lib.harvard.edu/ids/iiif/38979138/63,337,43,125/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38979138/71,222,32,38/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/38979138/67,531,34,120/full/0/native.jpg)
LUM
![](https://ids.lib.harvard.edu/ids/iiif/38979138/63,78,922,4801/full/0/native.jpg)
81
11A
12
12 A
13
13 A
4
14 A
15
15A
16
![](https://ids.lib.harvard.edu/ids/iiif/38979138/60,80,46,89/full/0/native.jpg)
81
![](https://ids.lib.harvard.edu/ids/iiif/38979138/919,4785,57,91/full/0/native.jpg)
11A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/923,4261,55,72/full/0/native.jpg)
12
![](https://ids.lib.harvard.edu/ids/iiif/38979138/928,3730,44,41/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/923,3274,52,68/full/0/native.jpg)
13
![](https://ids.lib.harvard.edu/ids/iiif/38979138/934,2248,41,46/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/38979138/934,1721,44,65/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/38979138/930,1180,46,68/full/0/native.jpg)
15
![](https://ids.lib.harvard.edu/ids/iiif/38979138/928,665,57,105/full/0/native.jpg)
15A
![](https://ids.lib.harvard.edu/ids/iiif/38979138/928,208,52,70/full/0/native.jpg)
16