Machine Generated Data
Tags
Amazon
created on 2019-04-09
Clarifai
created on 2018-04-06
Imagga
created on 2018-04-06
home appliance | 39.2 | |
| ||
machine | 33 | |
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sewing machine | 32.9 | |
| ||
appliance | 29.8 | |
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textile machine | 26.4 | |
| ||
device | 26 | |
| ||
dishwasher | 20.2 | |
| ||
black | 19.5 | |
| ||
industrial | 18.1 | |
| ||
durables | 17.9 | |
| ||
white goods | 16.4 | |
| ||
industry | 16.2 | |
| ||
metal | 15.3 | |
| ||
steel | 15 | |
| ||
power | 14.3 | |
| ||
shopping cart | 13.7 | |
| ||
manufacturing | 13.7 | |
| ||
factory | 13.5 | |
| ||
man | 13.4 | |
| ||
hot | 11.7 | |
| ||
handcart | 11.4 | |
| ||
light | 11.3 | |
| ||
equipment | 10.7 | |
| ||
labor | 10.7 | |
| ||
worker | 10.7 | |
| ||
retro | 10.6 | |
| ||
male | 10.6 | |
| ||
fashion | 10.5 | |
| ||
mask | 10.5 | |
| ||
repair | 10.5 | |
| ||
old | 10.4 | |
| ||
technology | 10.4 | |
| ||
heat | 10.2 | |
| ||
safety | 10.1 | |
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craft | 10 | |
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welder | 9.9 | |
| ||
style | 9.6 | |
| ||
vintage | 9.1 | |
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protection | 9.1 | |
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wheeled vehicle | 9 | |
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work | 8.7 | |
| ||
technical | 8.7 | |
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skill | 8.7 | |
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ancient | 8.6 | |
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container | 8.5 | |
| ||
art | 8.4 | |
| ||
chair | 8.4 | |
| ||
occupation | 8.2 | |
| ||
building | 8.1 | |
| ||
job | 8 | |
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working | 7.9 | |
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welding | 7.9 | |
| ||
business | 7.9 | |
| ||
antique | 7.8 | |
| ||
glass | 7.8 | |
| ||
portrait | 7.8 | |
| ||
construction | 7.7 | |
| ||
war | 7.7 | |
| ||
dark | 7.5 | |
| ||
window | 7.4 | |
| ||
smoke | 7.4 | |
| ||
sexy | 7.2 | |
| ||
gramophone | 7.2 | |
| ||
ship | 7.1 | |
| ||
science | 7.1 | |
|
Google
created on 2018-04-06
black and white | 86.8 | |
| ||
monochrome | 66.6 | |
| ||
musical instrument accessory | 66.1 | |
| ||
monochrome photography | 65.4 | |
| ||
darkness | 58.2 | |
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musician | 53.8 | |
|
Microsoft
created on 2018-04-06
old | 71.8 | |
| ||
black | 65.6 | |
| ||
military vehicle | 53.8 | |
| ||
vintage | 27.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 49-69 |
Gender | Male, 97% |
Disgusted | 0% |
Angry | 0.1% |
Surprised | 0.1% |
Sad | 91.6% |
Confused | 0.3% |
Calm | 7.9% |
Happy | 0% |
Feature analysis
Captions
Microsoft
a vintage photo of a person | 78.3% | |
| ||
a vintage photo of a vehicle | 53.1% | |
| ||
a vintage photo of some people | 53% | |
|
Text analysis
Amazon

PANADISE

FIVE

DANNY BO
IVE
AHADIS

DANNY

BO

IVE

AHADIS