Machine Generated Data
Tags
Amazon
created on 2023-10-25
Clarifai
created on 2018-10-06
Imagga
created on 2018-10-06
Google
created on 2018-10-06
black | 95.4 | |
| ||
black and white | 94.5 | |
| ||
monochrome photography | 88.3 | |
| ||
photography | 83.5 | |
| ||
monochrome | 70.4 | |
| ||
font | 52.2 | |
|
Microsoft
created on 2018-10-06
text | 87.8 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979118/655,1828,109,184/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979118/563,1833,88,227/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979118/701,798,113,206/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979118/613,807,89,228/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979118/686,2868,107,174/full/0/native.jpg)
Person | 83.9% | |
|
Categories
Imagga
streetview architecture | 55.2% | |
| ||
paintings art | 22.6% | |
| ||
interior objects | 8.5% | |
| ||
food drinks | 8.5% | |
| ||
text visuals | 2.3% | |
| ||
events parties | 0.8% | |
| ||
cars vehicles | 0.7% | |
| ||
nature landscape | 0.7% | |
| ||
pets animals | 0.3% | |
| ||
people portraits | 0.3% | |
| ||
macro flowers | 0.1% | |
|
Captions
Microsoft
created on 2018-10-06
a screen shot of a computer | 48.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979118/935,2588,47,86/full/0/native.jpg)
35
![](https://ids.lib.harvard.edu/ids/iiif/38979118/45,4984,36,229/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979118/59,65,40,116/full/0/native.jpg)
DAK
![](https://ids.lib.harvard.edu/ids/iiif/38979118/923,3647,45,76/full/0/native.jpg)
34
![](https://ids.lib.harvard.edu/ids/iiif/38979118/43,4709,43,190/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979118/45,3073,40,137/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38979118/40,3073,49,353/full/0/native.jpg)
PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979118/40,3249,46,176/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979118/944,1064,49,129/full/0/native.jpg)
36A
![](https://ids.lib.harvard.edu/ids/iiif/38979118/925,3098,57,147/full/0/native.jpg)
34A
![](https://ids.lib.harvard.edu/ids/iiif/38979118/51,2770,34,116/full/0/native.jpg)
TRI
![](https://ids.lib.harvard.edu/ids/iiif/38979118/921,5076,51,116/full/0/native.jpg)
32A
![](https://ids.lib.harvard.edu/ids/iiif/38979118/47,2506,43,477/full/0/native.jpg)
KODAK TRI x
![](https://ids.lib.harvard.edu/ids/iiif/38979118/51,2948,34,34/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/38979118/929,4615,32,73/full/0/native.jpg)
33
![](https://ids.lib.harvard.edu/ids/iiif/38979118/946,1552,40,73/full/0/native.jpg)
36
![](https://ids.lib.harvard.edu/ids/iiif/38979118/935,2035,49,137/full/0/native.jpg)
35A
![](https://ids.lib.harvard.edu/ids/iiif/38979118/39,1113,948,2319/full/0/native.jpg)
9と
KODAKTR
PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979118/945,1113,40,40/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/38979118/947,1153,37,37/full/0/native.jpg)
と
![](https://ids.lib.harvard.edu/ids/iiif/38979118/45,2518,50,333/full/0/native.jpg)
KODAKTR
![](https://ids.lib.harvard.edu/ids/iiif/38979118/45,3085,35,129/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38979118/41,3262,40,169/full/0/native.jpg)
FILM