Machine Generated Data
Tags
Amazon
created on 2023-10-24
Clarifai
created on 2018-10-06
Imagga
created on 2018-10-06
film | 33.1 | |
| ||
negative | 25.5 | |
| ||
man | 23 | |
| ||
people | 22.3 | |
| ||
photographic paper | 20.4 | |
| ||
adult | 20.2 | |
| ||
person | 19.2 | |
| ||
business | 18.8 | |
| ||
room | 18.7 | |
| ||
male | 17.7 | |
| ||
computer | 16.1 | |
| ||
vintage | 15.2 | |
| ||
home | 15.1 | |
| ||
old | 14.6 | |
| ||
office | 14.5 | |
| ||
retro | 13.9 | |
| ||
newspaper | 13.8 | |
| ||
photographic equipment | 13.7 | |
| ||
paper | 13.4 | |
| ||
businessman | 13.2 | |
| ||
black | 13.2 | |
| ||
grunge | 12.8 | |
| ||
frame | 12.5 | |
| ||
product | 12.4 | |
| ||
indoors | 12.3 | |
| ||
portrait | 12.3 | |
| ||
art | 11.6 | |
| ||
working | 11.5 | |
| ||
modern | 11.2 | |
| ||
professional | 11.2 | |
| ||
corporate | 11.2 | |
| ||
work | 11 | |
| ||
creation | 10.7 | |
| ||
women | 10.3 | |
| ||
x-ray film | 10 | |
| ||
border | 9.9 | |
| ||
face | 9.9 | |
| ||
job | 9.7 | |
| ||
design | 9.6 | |
| ||
looking | 9.6 | |
| ||
daily | 9.5 | |
| ||
men | 9.4 | |
| ||
laptop | 9.4 | |
| ||
indoor | 9.1 | |
| ||
aged | 9 | |
| ||
texture | 9 | |
| ||
human | 9 | |
| ||
antique | 8.6 | |
| ||
camera | 8.4 | |
| ||
house | 8.4 | |
| ||
alone | 8.2 | |
| ||
one | 8.2 | |
| ||
happy | 8.1 | |
| ||
group | 8.1 | |
| ||
interior | 8 | |
| ||
textured | 7.9 | |
| ||
smile | 7.8 | |
| ||
empty | 7.7 | |
| ||
photograph | 7.7 | |
| ||
hand | 7.6 | |
| ||
grungy | 7.6 | |
| ||
technology | 7.4 | |
| ||
success | 7.2 | |
| ||
life | 7.1 | |
| ||
medical | 7.1 | |
|
Google
created on 2018-10-06
black and white | 91 | |
| ||
text | 87.5 | |
| ||
font | 66.6 | |
| ||
design | 65.8 | |
| ||
monochrome photography | 64.8 | |
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monochrome | 62.6 | |
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product | 56.1 | |
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stock photography | 52.5 | |
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website | 51.9 | |
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graphic design | 51.2 | |
|
Microsoft
created on 2023-10-30
text | 99.9 | |
| ||
screenshot | 83.1 | |
| ||
wedding dress | 78.5 | |
| ||
person | 71.9 | |
| ||
newspaper | 70.2 | |
| ||
clothing | 65.8 | |
| ||
poster | 65.1 | |
| ||
bride | 58.4 | |
| ||
dress | 53.3 | |
| ||
woman | 52.1 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979061/434,54,32,78/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979061/911,89,42,35/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/38979061/447,56,40,79/full/0/native.jpg)
Person | 96.6% | |
|
Categories
Imagga
paintings art | 34.1% | |
| ||
pets animals | 23% | |
| ||
interior objects | 19.7% | |
| ||
text visuals | 8.1% | |
| ||
streetview architecture | 6% | |
| ||
people portraits | 5.9% | |
| ||
food drinks | 1.7% | |
| ||
nature landscape | 0.8% | |
| ||
events parties | 0.3% | |
| ||
beaches seaside | 0.2% | |
| ||
cars vehicles | 0.1% | |
|
Captions
Microsoft
created on 2023-10-30
graphical user interface | 82.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38979061/134,5,34,5/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979061/177,4,26,6/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/38979061/789,152,14,7/full/0/native.jpg)
36
![](https://ids.lib.harvard.edu/ids/iiif/38979061/106,150,14,7/full/0/native.jpg)
32
![](https://ids.lib.harvard.edu/ids/iiif/38979061/619,151,14,7/full/0/native.jpg)
35
![](https://ids.lib.harvard.edu/ids/iiif/38979061/224,4,20,6/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38979061/278,150,13,8/full/0/native.jpg)
33
![](https://ids.lib.harvard.edu/ids/iiif/38979061/606,5,27,7/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979061/867,151,21,8/full/0/native.jpg)
36A
![](https://ids.lib.harvard.edu/ids/iiif/38979061/698,150,21,8/full/0/native.jpg)
35A
![](https://ids.lib.harvard.edu/ids/iiif/38979061/134,4,144,7/full/0/native.jpg)
KODAK PLUS x PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979061/553,5,39,7/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979061/924,3,97,10/full/0/native.jpg)
KODAK PLUS XP
![](https://ids.lib.harvard.edu/ids/iiif/38979061/211,4,5,6/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/38979061/530,151,22,8/full/0/native.jpg)
34A
![](https://ids.lib.harvard.edu/ids/iiif/38979061/358,150,22,8/full/0/native.jpg)
ЭЗА
![](https://ids.lib.harvard.edu/ids/iiif/38979061/999,4,22,8/full/0/native.jpg)
XP
![](https://ids.lib.harvard.edu/ids/iiif/38979061/88,5,937,160/full/0/native.jpg)
KODAK PLUSXPAN FILM
KODAK SAFETY FILM
KODAK PLUS X P
→ 32
→35
→ 36
-> 36 A
![](https://ids.lib.harvard.edu/ids/iiif/38979061/134,5,38,11/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38979061/177,5,71,11/full/0/native.jpg)
PLUSXPAN
![](https://ids.lib.harvard.edu/ids/iiif/38979061/251,5,31,11/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38979061/543,6,52,12/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38979061/964,6,31,11/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/38979061/1000,5,10,11/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/38979061/1014,5,11,11/full/0/native.jpg)
P
![](https://ids.lib.harvard.edu/ids/iiif/38979061/88,150,20,11/full/0/native.jpg)
→
![](https://ids.lib.harvard.edu/ids/iiif/38979061/107,150,17,11/full/0/native.jpg)
32
![](https://ids.lib.harvard.edu/ids/iiif/38979061/619,151,18,11/full/0/native.jpg)
35
![](https://ids.lib.harvard.edu/ids/iiif/38979061/789,152,18,13/full/0/native.jpg)
36
![](https://ids.lib.harvard.edu/ids/iiif/38979061/851,154,9,7/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/38979061/856,152,14,11/full/0/native.jpg)
>
![](https://ids.lib.harvard.edu/ids/iiif/38979061/882,152,10,11/full/0/native.jpg)
A