Machine Generated Data
Tags
Amazon
created on 2023-10-23
Clarifai
created on 2023-10-15
Imagga
created on 2019-02-03
negative | 100 | |
| ||
film | 100 | |
| ||
photographic paper | 85.3 | |
| ||
photographic equipment | 56.9 | |
| ||
man | 18.2 | |
| ||
people | 16.7 | |
| ||
business | 15.8 | |
| ||
person | 15.5 | |
| ||
old | 15.3 | |
| ||
male | 14.2 | |
| ||
vintage | 12.4 | |
| ||
urban | 12.2 | |
| ||
art | 11.9 | |
| ||
symbol | 11.4 | |
| ||
grunge | 11.1 | |
| ||
sport | 10.7 | |
| ||
businessman | 10.6 | |
| ||
computer | 10.4 | |
| ||
city | 10 | |
| ||
adult | 9.7 | |
| ||
screen | 9.7 | |
| ||
black | 9.6 | |
| ||
design | 9.6 | |
| ||
finance | 9.3 | |
| ||
camera | 9.2 | |
| ||
silhouette | 9.1 | |
| ||
retro | 9 | |
| ||
financial | 8.9 | |
| ||
paper | 8.6 | |
| ||
statue | 8.6 | |
| ||
money | 8.5 | |
| ||
frame | 8.3 | |
| ||
sky | 8.3 | |
| ||
human | 8.2 | |
| ||
pattern | 8.2 | |
| ||
closeup | 8.1 | |
| ||
success | 8 | |
| ||
working | 7.9 | |
| ||
portrait | 7.8 | |
| ||
travel | 7.7 | |
| ||
bank | 7.7 | |
| ||
newspaper | 7.7 | |
| ||
one | 7.5 | |
| ||
outdoors | 7.5 | |
| ||
banking | 7.3 | |
| ||
laptop | 7.3 | |
| ||
lifestyle | 7.2 | |
| ||
team | 7.2 | |
|
Google
created on 2019-02-03
Photograph | 97.5 | |
| ||
White | 95.9 | |
| ||
Black-and-white | 92.4 | |
| ||
Text | 89 | |
| ||
Snapshot | 88.2 | |
| ||
Monochrome photography | 87 | |
| ||
Photography | 84.5 | |
| ||
Stock photography | 79.1 | |
| ||
Monochrome | 72.4 | |
| ||
Font | 68.6 | |
| ||
Negative | 65.8 | |
| ||
Style | 53.5 | |
| ||
Photo caption | 53.2 | |
| ||
Art | 50.2 | |
|
Microsoft
created on 2019-02-03
toy | 56.6 | |
| ||
black and white | 56.6 | |
| ||
monochrome | 22.5 | |
| ||
window | 9.9 | |
| ||
street | 9 | |
| ||
art | 8.5 | |
| ||
fence | 8.1 | |
|
Color Analysis
Feature analysis
Categories
Imagga
interior objects | 95.4% | |
| ||
people portraits | 3% | |
|
Captions
Microsoft
created on 2019-02-03
a man standing in front of a building | 41.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1437,987,140,25/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1146,987,79,23/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38998261/4387,30,66,36/full/0/native.jpg)
23
![](https://ids.lib.harvard.edu/ids/iiif/38998261/3169,987,166,25/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1019,985,92,30/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1099,34,73,43/full/0/native.jpg)
20
![](https://ids.lib.harvard.edu/ids/iiif/38998261/3291,32,75,43/full/0/native.jpg)
22
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1321,987,77,23/full/0/native.jpg)
TRI
![](https://ids.lib.harvard.edu/ids/iiif/38998261/3009,983,510,32/full/0/native.jpg)
KODAK SAFETY FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998261/2203,34,51,40/full/0/native.jpg)
21
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1019,985,558,30/full/0/native.jpg)
KODAK TRI x PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1261,987,28,23/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/38998261/21,36,73,45/full/0/native.jpg)
61
![](https://ids.lib.harvard.edu/ids/iiif/38998261/41,32,5443,986/full/0/native.jpg)
FILM
KODAK SAFE
KODAK TRIX PAN FILM
20
19
![](https://ids.lib.harvard.edu/ids/iiif/38998261/5385,977,96,32/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998261/3384,981,133,34/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38998261/3233,981,122,34/full/0/native.jpg)
SAFE
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1264,986,136,27/full/0/native.jpg)
TRIX
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1149,986,78,27/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38998261/1099,32,73,46/full/0/native.jpg)
20
![](https://ids.lib.harvard.edu/ids/iiif/38998261/43,39,44,39/full/0/native.jpg)
19