Machine Generated Data
Tags
Amazon
created on 2019-11-07
Clarifai
created on 2019-11-07
Imagga
created on 2019-11-07
building | 35.4 | |
| ||
old | 32 | |
| ||
wall | 30.9 | |
| ||
architecture | 30.8 | |
| ||
house | 27.6 | |
| ||
window | 27.5 | |
| ||
door | 22.5 | |
| ||
city | 22.4 | |
| ||
ancient | 20.8 | |
| ||
brick | 18 | |
| ||
stone | 18 | |
| ||
cell | 17.6 | |
| ||
structure | 17.5 | |
| ||
home | 16.7 | |
| ||
town | 16.7 | |
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urban | 14.9 | |
| ||
prison | 14.3 | |
| ||
historic | 13.8 | |
| ||
windows | 13.4 | |
| ||
vintage | 13.2 | |
| ||
street | 12.9 | |
| ||
travel | 12.7 | |
| ||
history | 12.5 | |
| ||
tourism | 12.4 | |
| ||
art | 11.8 | |
| ||
texture | 11.8 | |
| ||
sill | 11.8 | |
| ||
shop | 11.8 | |
| ||
retro | 11.5 | |
| ||
entrance | 10.6 | |
| ||
book jacket | 10.5 | |
| ||
product | 10.4 | |
| ||
construction | 10.3 | |
| ||
exterior | 10.1 | |
| ||
glass | 10.1 | |
| ||
frame | 10 | |
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newspaper | 10 | |
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device | 10 | |
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aged | 10 | |
| ||
stucco | 9.9 | |
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correctional institution | 9.9 | |
| ||
call | 9.9 | |
| ||
interior | 9.7 | |
| ||
design | 9.6 | |
| ||
culture | 9.4 | |
| ||
grunge | 9.4 | |
| ||
barbershop | 9.3 | |
| ||
wood | 9.2 | |
| ||
jacket | 9.1 | |
| ||
room | 8.7 | |
| ||
arch | 8.7 | |
| ||
light | 8.7 | |
| ||
village | 8.6 | |
| ||
residential | 8.6 | |
| ||
historical | 8.5 | |
| ||
creation | 8.4 | |
| ||
structural member | 8.4 | |
| ||
religion | 8.1 | |
| ||
sculpture | 8 | |
| ||
antique | 7.9 | |
| ||
wooden | 7.9 | |
| ||
decoration | 7.9 | |
| ||
paper | 7.8 | |
| ||
mercantile establishment | 7.8 | |
| ||
architectural | 7.7 | |
| ||
buildings | 7.6 | |
| ||
destination | 7.5 | |
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penal institution | 7.5 | |
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facade | 7.5 | |
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balcony | 7.3 | |
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dirty | 7.2 | |
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black | 7.2 | |
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stairs | 7.2 | |
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indoors | 7 | |
|
Google
created on 2019-11-07
Cartoon | 80.7 | |
| ||
Illustration | 76.4 | |
| ||
Room | 74.4 | |
| ||
Art | 69.5 | |
| ||
Painting | 67.4 | |
| ||
Adaptation | 67 | |
| ||
Picture frame | 63.2 | |
| ||
Drawing | 55.8 | |
| ||
Artwork | 54.3 | |
| ||
Antique | 53 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 22-34 |
Gender | Male, 52.4% |
Calm | 45.2% |
Fear | 45.2% |
Confused | 45% |
Angry | 45.2% |
Surprised | 45% |
Disgusted | 45% |
Sad | 54.4% |
Happy | 45% |

AWS Rekognition
Age | 23-35 |
Gender | Male, 50.3% |
Fear | 49.5% |
Angry | 49.6% |
Confused | 49.5% |
Happy | 49.8% |
Disgusted | 49.5% |
Calm | 50% |
Sad | 49.5% |
Surprised | 49.6% |
Feature analysis
Amazon


Person | 99.1% | |
|
Captions
Microsoft
a vintage photo of a building | 61.9% | |
| ||
a vintage photo of an old building | 58.4% | |
| ||
a vintage photo of a room | 58.3% | |
|
Text analysis
Amazon

Hollandais

(Lieter

intereur

Un intereur Hollandais

Salmon

de

Hedoutn

HOOCb (Lieter de

od

Un

od Hedoutn re Jmp.. Salmon aris

aris

Jmp..

HOOCb

re

7mp

(Pieter

de)

Ed

Hooch (Pieter de)
7mp A.Salmon, Parns
Ed Hedoutn se
Un mteneur olandais

Hooch

Hedoutn

se

Un

mteneur

A.Salmon,

Parns

olandais