Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
no person | 98.7 | |
| ||
monochrome | 94.8 | |
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group | 93.6 | |
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people | 92.6 | |
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architecture | 92.3 | |
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window | 91.8 | |
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indoors | 90.8 | |
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analog | 89.9 | |
| ||
one | 89.6 | |
| ||
shelf | 89.5 | |
| ||
industry | 88.5 | |
| ||
retro | 88.2 | |
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room | 88.1 | |
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art | 87.3 | |
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technology | 86.8 | |
| ||
business | 86.4 | |
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many | 86.4 | |
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picture frame | 85.5 | |
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old | 85.3 | |
| ||
slide | 84.7 | |
|
Imagga
created on 2022-01-08
Google
created on 2022-01-08
Rectangle | 89.3 | |
| ||
Font | 82.8 | |
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Art | 78 | |
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Tints and shades | 73.9 | |
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Monochrome | 68.5 | |
| ||
Monochrome photography | 68.2 | |
| ||
Shelving | 66.9 | |
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Room | 60.3 | |
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Visual arts | 57.2 | |
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Wood | 56.3 | |
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Pattern | 56 | |
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Collection | 55.2 | |
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Machine | 54.3 | |
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Symmetry | 52.1 | |
|
Microsoft
created on 2022-01-08
text | 99.9 | |
| ||
indoor | 87 | |
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black and white | 81.9 | |
| ||
screenshot | 75.6 | |
| ||
old | 40.7 | |
| ||
several | 13.3 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18786308/194,458,18,21/full/0/native.jpg)
AWS Rekognition
Age | 21-29 |
Gender | Male, 98.4% |
Confused | 28.9% |
Fear | 24.3% |
Calm | 19.8% |
Disgusted | 10% |
Sad | 5% |
Angry | 4.9% |
Happy | 3.6% |
Surprised | 3.5% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18786308/14,26,992,720/full/0/native.jpg)
Monitor | 58.1% | |
|
Categories
Imagga
text visuals | 48.4% | |
| ||
interior objects | 30.1% | |
| ||
streetview architecture | 11.4% | |
| ||
cars vehicles | 6.5% | |
| ||
paintings art | 2.8% | |
|
Captions
Microsoft
created on 2022-01-08
a display case | 52.8% | |
| ||
a display in a room | 52.7% | |
| ||
a display in a store | 52.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18786308/371,539,15,5/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/18786308/472,372,14,5/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786308/392,155,31,11/full/0/native.jpg)
KELLER
![](https://ids.lib.harvard.edu/ids/iiif/18786308/197,712,25,7/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18786308/188,537,14,5/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18786308/741,579,14,6/full/0/native.jpg)
20
![](https://ids.lib.harvard.edu/ids/iiif/18786308/495,510,3,5/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/18786308/262,577,11,5/full/0/native.jpg)
17
![](https://ids.lib.harvard.edu/ids/iiif/18786308/496,481,9,14/full/0/native.jpg)
FETE
![](https://ids.lib.harvard.edu/ids/iiif/18786308/339,537,76,7/full/0/native.jpg)
KODAK PLUS x PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786308/501,505,3,8/full/0/native.jpg)
:
![](https://ids.lib.harvard.edu/ids/iiif/18786308/510,204,26,5/full/0/native.jpg)
KODAKI
![](https://ids.lib.harvard.edu/ids/iiif/18786308/358,713,42,6/full/0/native.jpg)
SAFE.TY FILM
![](https://ids.lib.harvard.edu/ids/iiif/18786308/160,537,42,5/full/0/native.jpg)
SAFE-TY FILM
![](https://ids.lib.harvard.edu/ids/iiif/18786308/409,369,77,8/full/0/native.jpg)
KODAK PLUS y PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786308/495,502,3,12/full/0/native.jpg)
- -
![](https://ids.lib.harvard.edu/ids/iiif/18786308/509,203,76,10/full/0/native.jpg)
KODAKI PLUS 4 PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786308/821,578,20,8/full/0/native.jpg)
20A
![](https://ids.lib.harvard.edu/ids/iiif/18786308/508,478,10,29/full/0/native.jpg)
PATRONAL
![](https://ids.lib.harvard.edu/ids/iiif/18786308/489,507,3,9/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/18786308/443,236,3,3/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/18786308/358,713,29,6/full/0/native.jpg)
SAFE.TY
![](https://ids.lib.harvard.edu/ids/iiif/18786308/160,537,27,5/full/0/native.jpg)
SAFE-TY
![](https://ids.lib.harvard.edu/ids/iiif/18786308/573,453,7,8/full/0/native.jpg)
z
![](https://ids.lib.harvard.edu/ids/iiif/18786308/590,715,3,5/full/0/native.jpg)
y
![](https://ids.lib.harvard.edu/ids/iiif/18786308/392,540,4,4/full/0/native.jpg)
x
![](https://ids.lib.harvard.edu/ids/iiif/18786308/559,205,7,7/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/18786308/180,578,16,5/full/0/native.jpg)
16.
![](https://ids.lib.harvard.edu/ids/iiif/18786308/328,193,45,11/full/0/native.jpg)
SAFE.TY FL.M.
![](https://ids.lib.harvard.edu/ids/iiif/18786308/540,204,20,15/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/18786308/572,205,20,16/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/18786308/231,365,30,14/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18786308/410,371,29,12/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18786308/464,374,7,8/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/18786308/359,712,22,15/full/0/native.jpg)
SAFE
![](https://ids.lib.harvard.edu/ids/iiif/18786308/389,715,26,11/full/0/native.jpg)
FILM.
![](https://ids.lib.harvard.edu/ids/iiif/18786308/163,153,741,574/full/0/native.jpg)
KELLER
KODAK
SAFE.TY RLM.
KODAK PLUS X PAN
SAFETY FLM.
KODAK PLUS X PAN
KODAK
KODAK PLUS X PAN
SAFE.TY FILM.
883
KODAK PLUS X PAN
SAFE TY FILM.
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/18786308/388,153,40,17/full/0/native.jpg)
KELLER
![](https://ids.lib.harvard.edu/ids/iiif/18786308/332,194,30,14/full/0/native.jpg)
SAFE.TY
![](https://ids.lib.harvard.edu/ids/iiif/18786308/360,196,29,13/full/0/native.jpg)
RLM.
![](https://ids.lib.harvard.edu/ids/iiif/18786308/259,366,28,14/full/0/native.jpg)
FLM.
![](https://ids.lib.harvard.edu/ids/iiif/18786308/449,701,58,20/full/0/native.jpg)
883
![](https://ids.lib.harvard.edu/ids/iiif/18786308/378,713,13,14/full/0/native.jpg)
TY