Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
equipment | 37.1 | |
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machine | 34.7 | |
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industry | 29 | |
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factory | 28 | |
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man | 24.2 | |
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industrial | 23.6 | |
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work | 23.5 | |
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device | 20.3 | |
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forklift | 20.2 | |
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machinery | 17.7 | |
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interior | 17.7 | |
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steel | 17.7 | |
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power | 17.6 | |
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male | 17 | |
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worker | 16.9 | |
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vehicle | 15.9 | |
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shop | 15.7 | |
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working | 15 | |
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indoors | 14.9 | |
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barbershop | 14 | |
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health | 13.9 | |
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building | 13.8 | |
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transportation | 13.4 | |
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weight | 12.6 | |
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press | 12.5 | |
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heavy | 12.4 | |
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strength | 12.2 | |
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warehouse | 12.1 | |
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men | 12 | |
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training | 12 | |
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inside | 12 | |
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truck | 11.9 | |
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people | 11.7 | |
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chair | 11.6 | |
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exercising | 11.6 | |
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engineering | 11.4 | |
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fitness | 10.8 | |
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barber chair | 10.8 | |
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person | 10.7 | |
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manufacturing | 10.7 | |
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job | 10.6 | |
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seat | 10.5 | |
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gym | 10.5 | |
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technology | 10.4 | |
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room | 10.4 | |
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lifestyle | 10.1 | |
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wheeled vehicle | 10 | |
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bench press | 9.8 | |
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metal | 9.6 | |
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club | 9.4 | |
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construction | 9.4 | |
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hospital | 9.3 | |
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energy | 9.2 | |
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safety | 9.2 | |
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transport | 9.2 | |
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business | 9.1 | |
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patient | 8.8 | |
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weights | 8.8 | |
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mechanic | 8.8 | |
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mercantile establishment | 8.8 | |
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mechanical | 8.7 | |
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store | 8.5 | |
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iron | 8.4 | |
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help | 8.4 | |
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exercise | 8.2 | |
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punch press | 7.9 | |
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labor | 7.8 | |
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cargo | 7.8 | |
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skill | 7.7 | |
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storage | 7.6 | |
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plant | 7.5 | |
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service | 7.4 | |
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occupation | 7.3 | |
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barbell | 7.2 | |
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active | 7.2 | |
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box | 7.2 | |
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modern | 7 | |
|
Google
created on 2022-01-08
Black | 89.7 | |
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Black-and-white | 86.8 | |
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Style | 84 | |
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Shelf | 83.8 | |
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Monochrome photography | 78.3 | |
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Monochrome | 77.8 | |
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Shelving | 73.3 | |
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Motor vehicle | 72.3 | |
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Machine | 71.5 | |
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Building | 70.3 | |
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Room | 68.1 | |
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Retail | 64.2 | |
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Stock photography | 63.2 | |
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Rectangle | 57.6 | |
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Still life photography | 53.6 | |
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Plastic | 52.5 | |
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Box | 50.1 | |
|
Microsoft
created on 2022-01-08
text | 98.1 | |
| ||
black and white | 96 | |
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furniture | 87.5 | |
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clothing | 86.9 | |
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monochrome | 85.2 | |
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street | 84.7 | |
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person | 82.4 | |
| ||
man | 66.1 | |
| ||
appliance | 56.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 51-59 |
Gender | Male, 97.5% |
Calm | 99% |
Happy | 0.4% |
Surprised | 0.3% |
Sad | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Angry | 0% |
Fear | 0% |
Feature analysis
Text analysis
Amazon
7987
M 117
7787
M 117 YE3A АЗДА
MERSHON
АЗДА
YE3A
D. MERSMON
7787
7787
MI YT33A2 A33A
D.
MERSMON
7787
MI
YT33A2
A33A