Machine Generated Data
Tags
Clarifai
created on 2018-10-06
illustration | 97.2 | |
| ||
horizontal | 93.6 | |
| ||
no person | 92.4 | |
| ||
vector | 91.5 | |
| ||
technology | 91 | |
| ||
indoors | 90.2 | |
| ||
business | 88.3 | |
| ||
people | 87.9 | |
| ||
collage | 87.4 | |
| ||
vertical | 86.9 | |
| ||
desktop | 84.4 | |
| ||
monochrome | 83.6 | |
| ||
medicine | 83 | |
| ||
picture frame | 82.5 | |
| ||
radiography | 82.2 | |
| ||
negative | 82 | |
| ||
square | 81.9 | |
| ||
movie | 81.4 | |
| ||
side view | 80.9 | |
| ||
industry | 80.9 | |
|
Imagga
created on 2018-10-06
Google
created on 2018-10-06
photograph | 96.2 | |
| ||
white | 96.1 | |
| ||
black | 95.7 | |
| ||
black and white | 94.8 | |
| ||
monochrome photography | 87.5 | |
| ||
photography | 86.1 | |
| ||
snapshot | 81.8 | |
| ||
monochrome | 74.7 | |
| ||
design | 65.6 | |
| ||
product | 64.4 | |
| ||
font | 56.6 | |
|
Microsoft
created on 2018-10-06
indoor | 86.7 | |
| ||
electronics | 79.9 | |
| ||
computer | 34.6 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979176/612,90,90,75/full/0/native.jpg)
Person | 62.7% | |
|
Categories
Imagga
interior objects | 99% | |
| ||
text visuals | 0.8% | |
| ||
pets animals | 0.1% | |
|
Captions
Microsoft
created on 2018-10-06
a screen shot of a computer | 78.8% | |
| ||
a screen shot of a video game | 26.8% | |
| ||
a screen shot of a computer monitor | 26.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979176/459,11,38,7/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979176/208,182,13,8/full/0/native.jpg)
15
![](https://ids.lib.harvard.edu/ids/iiif/38979176/408,183,12,7/full/0/native.jpg)
16
![](https://ids.lib.harvard.edu/ids/iiif/38979176/8,183,8,7/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/38979176/690,181,22,8/full/0/native.jpg)
17A
![](https://ids.lib.harvard.edu/ids/iiif/38979176/598,182,10,7/full/0/native.jpg)
17
![](https://ids.lib.harvard.edu/ids/iiif/38979176/900,181,22,8/full/0/native.jpg)
18A
![](https://ids.lib.harvard.edu/ids/iiif/38979176/101,182,24,10/full/0/native.jpg)
14A
![](https://ids.lib.harvard.edu/ids/iiif/38979176/411,10,86,8/full/0/native.jpg)
KODAK TRI x
![](https://ids.lib.harvard.edu/ids/iiif/38979176/411,11,6,7/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/38979176/430,11,20,7/full/0/native.jpg)
TRI
![](https://ids.lib.harvard.edu/ids/iiif/38979176/889,10,60,8/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979176/889,9,102,10/full/0/native.jpg)
KODAY SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979176/946,10,45,8/full/0/native.jpg)
KODAY
![](https://ids.lib.harvard.edu/ids/iiif/38979176/839,13,31,4/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/38979176/799,183,11,4/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/38979176/305,184,19,5/full/0/native.jpg)
1.5.0
![](https://ids.lib.harvard.edu/ids/iiif/38979176/9,181,1003,15/full/0/native.jpg)
4
14 A
17
18 A
1S
![](https://ids.lib.harvard.edu/ids/iiif/38979176/9,183,11,11/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/38979176/103,184,16,12/full/0/native.jpg)
14
![](https://ids.lib.harvard.edu/ids/iiif/38979176/117,183,12,12/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/38979176/691,181,15,11/full/0/native.jpg)
17
![](https://ids.lib.harvard.edu/ids/iiif/38979176/900,181,17,13/full/0/native.jpg)
18
![](https://ids.lib.harvard.edu/ids/iiif/38979176/1000,182,12,12/full/0/native.jpg)
1S