Machine Generated Data
Tags
Clarifai
created on 2019-10-16
Imagga
created on 2019-10-16
ingot | 100 | |
| ||
block | 100 | |
| ||
money | 77.5 | |
| ||
currency | 76.4 | |
| ||
coin | 75.5 | |
| ||
coins | 66.7 | |
| ||
finance | 60.1 | |
| ||
cash | 57.7 | |
| ||
banking | 53.4 | |
| ||
bank | 49.3 | |
| ||
financial | 42.8 | |
| ||
wealth | 38.7 | |
| ||
pay | 36.5 | |
| ||
metal | 34.6 | |
| ||
business | 31 | |
| ||
economy | 28.8 | |
| ||
change | 27 | |
| ||
exchange | 25.8 | |
| ||
close | 25.1 | |
| ||
gold | 23.9 | |
| ||
object | 22.7 | |
| ||
one | 22.4 | |
| ||
savings | 22.4 | |
| ||
payment | 22.1 | |
| ||
finances | 21.2 | |
| ||
investment | 21.1 | |
| ||
retro | 20.5 | |
| ||
old | 20.2 | |
| ||
cent | 19.7 | |
| ||
pound | 19.3 | |
| ||
silver | 17.7 | |
| ||
dollar | 17.7 | |
| ||
monetary | 17.6 | |
| ||
collection | 17.1 | |
| ||
commerce | 16.8 | |
| ||
historical | 16 | |
| ||
buy | 16 | |
| ||
vintage | 15.9 | |
| ||
rich | 14.9 | |
| ||
penny | 14.8 | |
| ||
collect | 14.8 | |
| ||
value | 14.6 | |
| ||
treasure | 14.5 | |
| ||
numismatics | 13.9 | |
| ||
copper | 13.8 | |
| ||
symbol | 13.5 | |
| ||
market | 13.3 | |
| ||
round | 13 | |
| ||
closeup | 12.8 | |
| ||
shiny | 12.7 | |
| ||
dollars | 12.6 | |
| ||
success | 12.1 | |
| ||
two | 11.9 | |
| ||
stock | 11.2 | |
| ||
golden | 11.2 | |
| ||
credit | 10.6 | |
| ||
england | 10.5 | |
| ||
antique | 10.4 | |
| ||
ancient | 10.4 | |
| ||
coinage | 9.9 | |
| ||
funds | 9.8 | |
| ||
us | 9.7 | |
| ||
clock | 9.5 | |
| ||
note | 9.2 | |
| ||
currencies | 8.9 | |
| ||
spend | 8.8 | |
| ||
crisis | 8.7 | |
| ||
debt | 8.7 | |
| ||
pounds | 7.9 | |
| ||
bills | 7.8 | |
| ||
states | 7.7 | |
| ||
invest | 7.7 | |
| ||
union | 7.7 | |
| ||
rust | 7.7 | |
| ||
price | 7.7 | |
|
Google
created on 2019-10-16
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/445757893/1385,96,817,834/full/0/native.jpg)
Rug | 72% | |
|
Categories
Imagga
food drinks | 64% | |
| ||
paintings art | 36% | |
|
Captions
Microsoft
created on 2019-10-16
a close up of a coin | 89.6% | |
| ||
a coin on a table | 77.2% | |
| ||
close up of a coin | 77.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/445757893/1689,470,5,4/full/0/native.jpg)
T
![](https://ids.lib.harvard.edu/ids/iiif/445757893/946,459,13,3/full/0/native.jpg)
SEPA
![](https://ids.lib.harvard.edu/ids/iiif/445757893/367,494,1,0/full/0/native.jpg)
be
![](https://ids.lib.harvard.edu/ids/iiif/445757893/455,293,97,34/full/0/native.jpg)
so
![](https://ids.lib.harvard.edu/ids/iiif/445757893/881,701,59,15/full/0/native.jpg)
aeone
![](https://ids.lib.harvard.edu/ids/iiif/445757893/1589,755,288,62/full/0/native.jpg)
ASE
![](https://ids.lib.harvard.edu/ids/iiif/445757893/1972,335,68,36/full/0/native.jpg)
10:
![](https://ids.lib.harvard.edu/ids/iiif/445757893/257,6,2296,993/full/0/native.jpg)
ВЕ
сесEо
ВSEРA
Мeотвеа,
КEАРА
рб
ЗА
Ост
1cm
2cm
ШП
![](https://ids.lib.harvard.edu/ids/iiif/445757893/279,496,91,125/full/0/native.jpg)
ВЕ
![](https://ids.lib.harvard.edu/ids/iiif/445757893/257,132,250,261/full/0/native.jpg)
сесEо
![](https://ids.lib.harvard.edu/ids/iiif/445757893/843,306,96,358/full/0/native.jpg)
ВSEРA
![](https://ids.lib.harvard.edu/ids/iiif/445757893/925,350,71,222/full/0/native.jpg)
Мeотвеа,
![](https://ids.lib.harvard.edu/ids/iiif/445757893/1497,683,115,127/full/0/native.jpg)
КEАРА
![](https://ids.lib.harvard.edu/ids/iiif/445757893/1464,287,177,250/full/0/native.jpg)
рб
![](https://ids.lib.harvard.edu/ids/iiif/445757893/1977,331,155,326/full/0/native.jpg)
ЗА
![](https://ids.lib.harvard.edu/ids/iiif/445757893/2416,963,14,35/full/0/native.jpg)
Ост
![](https://ids.lib.harvard.edu/ids/iiif/445757893/2415,579,16,34/full/0/native.jpg)
1cm
![](https://ids.lib.harvard.edu/ids/iiif/445757893/2415,190,16,35/full/0/native.jpg)
2cm
![](https://ids.lib.harvard.edu/ids/iiif/445757893/2431,6,122,249/full/0/native.jpg)
ШП