Machine Generated Data
Tags
Clarifai
created on 2023-10-29
Imagga
created on 2022-06-17
container | 24.6 | |
| ||
magnetic tape | 24.1 | |
| ||
cassette tape | 23.5 | |
| ||
paper | 23 | |
| ||
device | 22.2 | |
| ||
memory device | 22 | |
| ||
old | 21.6 | |
| ||
close | 20 | |
| ||
cassette | 19 | |
| ||
currency | 18.8 | |
| ||
videotape | 18.3 | |
| ||
money | 17 | |
| ||
business | 17 | |
| ||
dollar | 16.7 | |
| ||
finance | 16 | |
| ||
cash | 15.6 | |
| ||
rubber eraser | 14.2 | |
| ||
tape | 13.8 | |
| ||
bank | 13.4 | |
| ||
vintage | 13.2 | |
| ||
grunge | 12.8 | |
| ||
object | 12.5 | |
| ||
packet | 12.2 | |
| ||
banking | 11.9 | |
| ||
frame | 11.7 | |
| ||
financial | 11.6 | |
| ||
eraser | 11.5 | |
| ||
antique | 11.2 | |
| ||
texture | 11.1 | |
| ||
hundred | 10.6 | |
| ||
package | 10.5 | |
| ||
bill | 10.5 | |
| ||
technology | 10.4 | |
| ||
closeup | 10.1 | |
| ||
design | 10 | |
| ||
retro | 9.8 | |
| ||
one | 9.7 | |
| ||
memorial | 9.6 | |
| ||
equipment | 9.6 | |
| ||
number | 9.3 | |
| ||
pencil sharpener | 9.1 | |
| ||
aged | 9 | |
| ||
brass | 9 | |
| ||
black | 9 | |
| ||
exchange | 8.6 | |
| ||
hand | 8.3 | |
| ||
note | 8.3 | |
| ||
box | 8.2 | |
| ||
art | 8 | |
| ||
structure | 7.7 | |
| ||
post | 7.6 | |
| ||
blade | 7.6 | |
| ||
sign | 7.5 | |
| ||
pattern | 7.5 | |
| ||
savings | 7.5 | |
| ||
rich | 7.4 | |
| ||
symbol | 7.4 | |
| ||
video recording | 7.3 | |
| ||
sharpener | 7.3 | |
| ||
dirty | 7.2 | |
|
Google
created on 2022-06-17
Rectangle | 88.7 | |
| ||
Jaw | 88 | |
| ||
Wood | 81.5 | |
| ||
Font | 77.1 | |
| ||
Brick | 73.5 | |
| ||
Artifact | 73.3 | |
| ||
Monochrome photography | 67.1 | |
| ||
Paper | 64.3 | |
| ||
Still life photography | 63.7 | |
| ||
Stock photography | 62.9 | |
| ||
Monochrome | 62.8 | |
| ||
Art | 62 | |
| ||
Visual arts | 62 | |
| ||
History | 61.3 | |
| ||
Paper product | 60.3 | |
| ||
Rock | 60.2 | |
| ||
Room | 60.2 | |
| ||
Square | 59.2 | |
| ||
Illustration | 56.5 | |
| ||
Soil | 52.8 | |
|
Color Analysis
Categories
Imagga
paintings art | 97.8% | |
|
Captions
Microsoft
created on 2022-06-17
a close up of food | 30.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20681565/466,231,12,12/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/20681565/609,234,12,8/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/20681565/905,232,20,9/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/20681565/240,231,24,12/full/0/native.jpg)
METRIC
![](https://ids.lib.harvard.edu/ids/iiif/20681565/659,234,12,8/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/20681565/323,232,13,11/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/20681565/762,233,12,11/full/0/native.jpg)
1/1
![](https://ids.lib.harvard.edu/ids/iiif/20681565/955,233,13,11/full/0/native.jpg)
15
![](https://ids.lib.harvard.edu/ids/iiif/20681565/418,232,14,10/full/0/native.jpg)
41
![](https://ids.lib.harvard.edu/ids/iiif/20681565/323,231,155,12/full/0/native.jpg)
2 3 41 5
![](https://ids.lib.harvard.edu/ids/iiif/20681565/515,231,13,12/full/0/native.jpg)
61
![](https://ids.lib.harvard.edu/ids/iiif/20681565/370,232,12,11/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/20681565/712,233,61,11/full/0/native.jpg)
10 1/1
![](https://ids.lib.harvard.edu/ids/iiif/20681565/515,231,107,12/full/0/native.jpg)
61 > 8
![](https://ids.lib.harvard.edu/ids/iiif/20681565/712,233,19,10/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/20681565/811,233,16,10/full/0/native.jpg)
1/2
![](https://ids.lib.harvard.edu/ids/iiif/20681565/281,232,8,10/full/0/native.jpg)
1
![](https://ids.lib.harvard.edu/ids/iiif/20681565/858,232,16,11/full/0/native.jpg)
1|3
![](https://ids.lib.harvard.edu/ids/iiif/20681565/562,231,13,12/full/0/native.jpg)
>