Machine Generated Data
Tags
Amazon
created on 2023-10-23
Clarifai
created on 2023-10-15
filmstrip | 99.9 | |
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movie | 99.8 | |
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negative | 99.8 | |
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slide | 99.7 | |
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exposed | 99.6 | |
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cinematography | 99.3 | |
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photograph | 98.8 | |
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picture frame | 97.7 | |
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old | 96.8 | |
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bobbin | 96.1 | |
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no person | 95.9 | |
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dirty | 95.8 | |
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blank | 95.7 | |
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retro | 94.6 | |
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illustration | 94.2 | |
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margin | 93.9 | |
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video | 93.5 | |
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art | 93.1 | |
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graphic design | 92.9 | |
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image | 92 | |
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Imagga
created on 2019-02-03
Google
created on 2019-02-03
Photograph | 96.5 | |
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Product | 88.3 | |
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Black-and-white | 82.7 | |
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Snapshot | 82.5 | |
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Room | 81.5 | |
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Photography | 81 | |
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Monochrome photography | 64.7 | |
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Rectangle | 63.2 | |
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Stock photography | 62.1 | |
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Multimedia software | 60.8 | |
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Multimedia | 54.9 | |
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Screen | 53.1 | |
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Brand | 52 | |
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Style | 51 | |
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Microsoft
created on 2019-02-03
black and white | 20.3 | |
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monochrome | 16.5 | |
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street | 4 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38998265/3379,343,365,538/full/0/native.jpg)
AWS Rekognition
Age | 23-33 |
Gender | Male, 87.8% |
Sad | 100% |
Surprised | 6.3% |
Fear | 5.9% |
Calm | 4.9% |
Confused | 0% |
Angry | 0% |
Happy | 0% |
Disgusted | 0% |
Feature analysis
Categories
Imagga
interior objects | 100% | |
|
Captions
Microsoft
created on 2019-02-03
a screen shot of a person | 81.7% | |
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a screen shot of a computer | 72.1% | |
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a person standing in front of a computer screen | 49.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38998265/1483,56,203,37/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38998265/3036,970,88,48/full/0/native.jpg)
29
![](https://ids.lib.harvard.edu/ids/iiif/38998265/2021,965,77,44/full/0/native.jpg)
28
![](https://ids.lib.harvard.edu/ids/iiif/38998265/2026,58,115,35/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38998265/2183,56,157,39/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998265/1737,54,157,39/full/0/native.jpg)
PLUS
![](https://ids.lib.harvard.edu/ids/iiif/38998265/4098,47,247,46/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38998265/1478,959,143,51/full/0/native.jpg)
27A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/4173,963,81,44/full/0/native.jpg)
30
![](https://ids.lib.harvard.edu/ids/iiif/38998265/3591,961,144,48/full/0/native.jpg)
29A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/949,965,94,46/full/0/native.jpg)
27
![](https://ids.lib.harvard.edu/ids/iiif/38998265/362,970,142,48/full/0/native.jpg)
26A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/1483,53,857,43/full/0/native.jpg)
KODAK PLUS X PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998265/5192,963,56,39/full/0/native.jpg)
31
![](https://ids.lib.harvard.edu/ids/iiif/38998265/1946,56,31,37/full/0/native.jpg)
X
![](https://ids.lib.harvard.edu/ids/iiif/38998265/2441,963,186,37/full/0/native.jpg)
28A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/4657,959,132,41/full/0/native.jpg)
30.A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/366,58,4421,959/full/0/native.jpg)
N FILM
26 A
29A
30
30 A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/2109,58,31,38/full/0/native.jpg)
N
![](https://ids.lib.harvard.edu/ids/iiif/38998265/2185,58,159,38/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998265/366,969,85,45/full/0/native.jpg)
26
![](https://ids.lib.harvard.edu/ids/iiif/38998265/460,969,40,42/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/3593,963,139,45/full/0/native.jpg)
29A
![](https://ids.lib.harvard.edu/ids/iiif/38998265/4103,963,143,47/full/0/native.jpg)
30