Machine Generated Data
Tags
Amazon
created on 2023-10-23
Ice | 99.9 | |
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Adult | 98.3 | |
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Male | 98.3 | |
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Man | 98.3 | |
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Person | 98.3 | |
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Adult | 98 | |
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Male | 98 | |
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Man | 98 | |
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Person | 98 | |
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Adult | 96.6 | |
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Male | 96.6 | |
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Man | 96.6 | |
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Person | 96.6 | |
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Person | 95.5 | |
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Outdoors | 90.5 | |
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Person | 84.2 | |
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Person | 83.9 | |
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Nature | 82.8 | |
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Head | 79.2 | |
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Art | 72.3 | |
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Collage | 72.3 | |
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Person | 71.5 | |
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Snow | 69.9 | |
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Face | 66.2 | |
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Icicle | 64.3 | |
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Winter | 64.3 | |
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Helmet | 63.3 | |
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Person | 61.3 | |
|
Clarifai
created on 2023-10-15
Imagga
created on 2019-02-03
negative | 96.5 | |
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film | 80 | |
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photographic paper | 55.9 | |
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photographic equipment | 37.2 | |
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computer | 24.3 | |
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technology | 22.2 | |
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business | 21.2 | |
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equipment | 19.5 | |
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people | 17.8 | |
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office | 16.8 | |
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work | 15.7 | |
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working | 15 | |
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monitor | 14.4 | |
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man | 14.1 | |
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finance | 11.8 | |
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adult | 11.6 | |
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person | 11.3 | |
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communication | 10.9 | |
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financial | 10.7 | |
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laptop | 10.3 | |
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room | 10.2 | |
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screen | 10 | |
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horizontal | 10 | |
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city | 10 | |
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hand | 9.9 | |
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device | 9.7 | |
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neonate | 9.7 | |
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design | 9.6 | |
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male | 9.2 | |
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digital | 8.9 | |
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businessman | 8.8 | |
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desk | 8.7 | |
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baby | 8.3 | |
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bank | 8.3 | |
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vehicle | 8.3 | |
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occupation | 8.2 | |
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data | 8.2 | |
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retro | 8.2 | |
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table | 8.1 | |
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building | 8 | |
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hospital | 8 | |
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worker | 8 | |
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car | 8 | |
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job | 8 | |
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black | 7.8 | |
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old | 7.7 | |
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professional | 7.6 | |
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child | 7.4 | |
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camera | 7.4 | |
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speed | 7.3 | |
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wealth | 7.2 | |
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home | 7.2 | |
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transportation | 7.2 | |
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smile | 7.1 | |
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medical | 7.1 | |
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travel | 7 | |
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architecture | 7 | |
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Google
created on 2019-02-03
Photograph | 97.6 | |
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Snapshot | 89.3 | |
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Photography | 79.4 | |
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Black-and-white | 74.4 | |
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Stock photography | 67.6 | |
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Room | 65.7 | |
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Monochrome photography | 57.8 | |
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Monochrome | 54.4 | |
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Microsoft
created on 2019-02-03
appliance | 53.2 | |
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old | 41.5 | |
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fence | 41.5 | |
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black and white | 32.6 | |
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monochrome | 20.7 | |
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Color Analysis
Feature analysis
Categories
Imagga
paintings art | 53% | |
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people portraits | 42.6% | |
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interior objects | 3.3% | |
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Captions
Microsoft
created on 2019-02-03
an old photo of a train | 58.1% | |
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a group of men sitting at a train station | 37.7% | |
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old photo of a train | 37.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3702,988,134,25/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38998275/4685,67,50,37/full/0/native.jpg)
31
![](https://ids.lib.harvard.edu/ids/iiif/38998275/2558,64,67,35/full/0/native.jpg)
29
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3499,988,161,25/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3346,986,314,27/full/0/native.jpg)
SAFETY FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1498,54,71,41/full/0/native.jpg)
28
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3346,986,111,27/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998275/446,52,73,41/full/0/native.jpg)
27
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1651,978,29,20/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1537,978,77,23/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3611,59,75,44/full/0/native.jpg)
OE
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1412,974,366,27/full/0/native.jpg)
IRE A PAN FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1699,980,79,20/full/0/native.jpg)
IRE
![](https://ids.lib.harvard.edu/ids/iiif/38998275/449,53,3388,959/full/0/native.jpg)
KODAK SAFETY FILM
KODAK TRIA PAN FILM
30
29
28
27
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3701,985,136,27/full/0/native.jpg)
KODAK
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3500,985,163,27/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3345,985,112,27/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1656,976,143,29/full/0/native.jpg)
TRIA
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1542,976,89,29/full/0/native.jpg)
PAN
![](https://ids.lib.harvard.edu/ids/iiif/38998275/3611,62,69,38/full/0/native.jpg)
30
![](https://ids.lib.harvard.edu/ids/iiif/38998275/2554,60,67,42/full/0/native.jpg)
29
![](https://ids.lib.harvard.edu/ids/iiif/38998275/1499,55,67,36/full/0/native.jpg)
28
![](https://ids.lib.harvard.edu/ids/iiif/38998275/449,53,65,36/full/0/native.jpg)
27