Machine Generated Data
Tags
Amazon
created on 2022-01-08
Person | 97.9 | |
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Human | 97.9 | |
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Car | 97.5 | |
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Transportation | 97.5 | |
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Vehicle | 97.5 | |
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Automobile | 97.5 | |
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Person | 97.5 | |
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Person | 95.9 | |
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Car | 95.7 | |
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Person | 90.5 | |
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Person | 85.7 | |
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Interior Design | 85.1 | |
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Indoors | 85.1 | |
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Car | 85 | |
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Car | 85 | |
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Car | 83.8 | |
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Person | 80.8 | |
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Car | 77.8 | |
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Outdoors | 77.8 | |
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Nature | 76.1 | |
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Person | 75.8 | |
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Person | 75 | |
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Car | 71.8 | |
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People | 66.6 | |
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Text | 62.9 | |
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Door | 59.7 | |
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LCD Screen | 57.1 | |
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Electronics | 57.1 | |
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Screen | 57.1 | |
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Monitor | 57.1 | |
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Display | 57.1 | |
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Tire | 55.1 | |
|
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
equipment | 82.3 | |
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sequencer | 58.7 | |
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electronic equipment | 51.7 | |
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apparatus | 47.9 | |
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technology | 27.4 | |
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equalizer | 27.3 | |
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computer | 22.5 | |
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digital | 20.2 | |
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amplifier | 19.5 | |
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radio receiver | 18 | |
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network | 16.7 | |
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receiver | 16.3 | |
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industry | 15.4 | |
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business | 14.6 | |
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device | 14.1 | |
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electronic | 14 | |
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data | 13.7 | |
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black | 13.2 | |
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monitor | 13.2 | |
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panel | 12.5 | |
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button | 12.3 | |
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connection | 11.9 | |
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display | 11.9 | |
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information | 11.5 | |
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synthesizer | 11.3 | |
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set | 11 | |
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board | 10.8 | |
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memory | 10.8 | |
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screen | 10.6 | |
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control | 10.5 | |
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electronics | 10.4 | |
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film | 10.2 | |
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city | 10 | |
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music | 9.9 | |
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hand | 9.9 | |
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retro | 9.8 | |
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close | 9.7 | |
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radio | 9.7 | |
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audio | 9.6 | |
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media | 9.5 | |
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electronic instrument | 9.4 | |
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sound | 9.4 | |
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light | 9.3 | |
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communication | 9.2 | |
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industrial | 9.1 | |
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office | 9 | |
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router | 8.8 | |
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switch | 8.8 | |
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closeup | 8.8 | |
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cable | 8.6 | |
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finance | 8.4 | |
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old | 8.4 | |
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entertainment | 8.3 | |
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speed | 8.2 | |
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object | 8.1 | |
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movie | 7.7 | |
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3d | 7.7 | |
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hardware | 7.7 | |
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grunge | 7.7 | |
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system | 7.6 | |
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electric | 7.5 | |
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lights | 7.4 | |
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service | 7.4 | |
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camera | 7.4 | |
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night | 7.1 | |
|
Google
created on 2022-01-08
Building | 92.8 | |
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Car | 89.1 | |
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Vehicle | 88.9 | |
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Rectangle | 88.9 | |
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Font | 83.9 | |
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Window | 82.7 | |
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Motor vehicle | 80.8 | |
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Electronic device | 75.6 | |
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City | 75.3 | |
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Display device | 75.1 | |
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Technology | 73.2 | |
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Monochrome photography | 73.1 | |
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Urban design | 72.7 | |
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Monochrome | 72.1 | |
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Multimedia | 68.3 | |
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Glass | 66.5 | |
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Winter | 66.1 | |
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Room | 65.3 | |
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Skyscraper | 63.4 | |
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Advertising | 63 | |
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Microsoft
created on 2022-01-08
screenshot | 98.2 | |
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text | 96 | |
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vehicle | 84.6 | |
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car | 81.7 | |
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land vehicle | 73.8 | |
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billboard | 73 | |
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kitchen appliance | 16.9 | |
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Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 97.4% | |
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interior objects | 1.7% | |
|
Captions
Microsoft
created on 2022-01-08
graphical user interface, website | 96.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18786496/123,108,63,16/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18786496/673,471,35,21/full/0/native.jpg)
10
![](https://ids.lib.harvard.edu/ids/iiif/18786496/253,470,17,18/full/0/native.jpg)
9
![](https://ids.lib.harvard.edu/ids/iiif/18786496/423,466,63,15/full/0/native.jpg)
SUPER
![](https://ids.lib.harvard.edu/ids/iiif/18786496/212,277,30,10/full/0/native.jpg)
DEALERS
![](https://ids.lib.harvard.edu/ids/iiif/18786496/122,103,204,24/full/0/native.jpg)
FILM SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18786496/213,104,113,24/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18786496/459,405,24,11/full/0/native.jpg)
US
![](https://ids.lib.harvard.edu/ids/iiif/18786496/201,280,8,6/full/0/native.jpg)
NET
![](https://ids.lib.harvard.edu/ids/iiif/18786496/423,466,94,15/full/0/native.jpg)
SUPER XX
![](https://ids.lib.harvard.edu/ids/iiif/18786496/456,417,31,11/full/0/native.jpg)
MAIL
![](https://ids.lib.harvard.edu/ids/iiif/18786496/494,469,23,11/full/0/native.jpg)
XX
![](https://ids.lib.harvard.edu/ids/iiif/18786496/201,277,80,10/full/0/native.jpg)
NET DEALERS EXCM GGE
![](https://ids.lib.harvard.edu/ids/iiif/18786496/268,280,13,7/full/0/native.jpg)
GGE
![](https://ids.lib.harvard.edu/ids/iiif/18786496/452,428,37,10/full/0/native.jpg)
DELIVER
![](https://ids.lib.harvard.edu/ids/iiif/18786496/331,288,13,8/full/0/native.jpg)
BOW
![](https://ids.lib.harvard.edu/ids/iiif/18786496/452,390,37,13/full/0/native.jpg)
AIR MAIL
![](https://ids.lib.harvard.edu/ids/iiif/18786496/245,280,20,8/full/0/native.jpg)
EXCM
![](https://ids.lib.harvard.edu/ids/iiif/18786496/315,286,30,11/full/0/native.jpg)
PASS BOW
![](https://ids.lib.harvard.edu/ids/iiif/18786496/290,238,18,11/full/0/native.jpg)
OFTS
![](https://ids.lib.harvard.edu/ids/iiif/18786496/290,247,16,9/full/0/native.jpg)
TOUT
![](https://ids.lib.harvard.edu/ids/iiif/18786496/317,286,15,8/full/0/native.jpg)
PASS
![](https://ids.lib.harvard.edu/ids/iiif/18786496/459,400,25,8/full/0/native.jpg)
DO
![](https://ids.lib.harvard.edu/ids/iiif/18786496/182,281,10,5/full/0/native.jpg)
EXP
![](https://ids.lib.harvard.edu/ids/iiif/18786496/214,127,498,369/full/0/native.jpg)
SAFETY FILM
DEALERS EXCH GE
IR MA
MAIL
WIATER
SUPER XX
10
![](https://ids.lib.harvard.edu/ids/iiif/18786496/304,127,101,28/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/18786496/402,127,45,28/full/0/native.jpg)
FILM
![](https://ids.lib.harvard.edu/ids/iiif/18786496/214,277,33,16/full/0/native.jpg)
DEALERS
![](https://ids.lib.harvard.edu/ids/iiif/18786496/246,280,24,14/full/0/native.jpg)
EXCH
![](https://ids.lib.harvard.edu/ids/iiif/18786496/269,281,17,11/full/0/native.jpg)
GE
![](https://ids.lib.harvard.edu/ids/iiif/18786496/455,393,17,14/full/0/native.jpg)
IR
![](https://ids.lib.harvard.edu/ids/iiif/18786496/470,395,22,11/full/0/native.jpg)
MA
![](https://ids.lib.harvard.edu/ids/iiif/18786496/459,420,32,13/full/0/native.jpg)
MAIL
![](https://ids.lib.harvard.edu/ids/iiif/18786496/478,440,35,16/full/0/native.jpg)
WIATER
![](https://ids.lib.harvard.edu/ids/iiif/18786496/426,468,64,16/full/0/native.jpg)
SUPER
![](https://ids.lib.harvard.edu/ids/iiif/18786496/496,470,26,16/full/0/native.jpg)
XX
![](https://ids.lib.harvard.edu/ids/iiif/18786496/677,474,35,22/full/0/native.jpg)
10