Human Generated Data

Title

Industrial Problems, Types of Working People: Germany. Blacksmith; Cooper; Boiler-maker; Stonedresser; Toy-maker; Washwomen; Marketwomen: Types of German Workmen
Date

c. 1898
People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937
Classification

Photographs

Human Generated Data

Title

Industrial Problems, Types of Working People: Germany. Blacksmith; Cooper; Boiler-maker; Stonedresser; Toy-maker; Washwomen; Marketwomen: Types of German Workmen

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Date

c. 1898

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.7
Person 99.7
Person 98.1
Collage 90.5
Advertisement 90.5
Poster 90.5
Water 79.1
Clothing 72.3
Apparel 72.3
Leisure Activities 69.4

Clarifai

people 99.6
adult 96.7
man 96.6
woman 96
one 94.6
portrait 91.1
veil 88
two 85.9
old 85.9
group 85.3
art 85.2
child 84.5
retro 82.1
vintage 81.4
illustration 78.4
wear 77.1
sit 75.7
home 73.2
military 72.9
family 71.8

Imagga

potter's wheel 26.2
religion 25.1
old 23
musical instrument 21.8
machine 20.9
wheel 20
statue 19.9
gong 18.6
percussion instrument 18.1
seller 17
sculpture 16.3
art 16.3
religious 15.9
god 15.3
history 15.2
architecture 14.8
gold 14
pray 13.6
building 13.5
man 13.4
prayer 12.5
spiritual 12.5
person 12.4
portrait 12.3
monument 12.1
ancient 12.1
culture 12
antique 11.9
mechanical device 11.7
vintage 11.6
temple 11.6
spirituality 11.5
faith 10.5
stringed instrument 10.4
church 10.2
work 10
traditional 10
face 9.9
travel 9.8
retro 9.8
worship 9.7
holy 9.6
sitar 9.5
historical 9.4
adult 9.2
male 9.2
tourism 9.1
sacred 8.8
belief 8.8
meditation 8.6
golden 8.6
smile 8.5
head 8.4
people 8.4
color 8.3
interior 8
black 7.8
sitting 7.7
human 7.5
product 7.5
inside 7.4
water 7.3
oriental 7.2

Google

Photograph 96.6
Snapshot 82
Stock photography 70.9
Adaptation 67
Photography 62.4
Art 58.1

Microsoft

person 98.7
clothing 98.3
man 90.9
human face 52.3
old 47.4
picture frame 6.1

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 48-68
Gender Male, 97.9%
Angry 14%
Sad 22.7%
Happy 0.9%
Confused 7.8%
Calm 46.7%
Disgusted 2.3%
Surprised 5.6%

AWS Rekognition

Age 45-65
Gender Male, 51.9%
Sad 47.6%
Confused 45.4%
Angry 45.9%
Happy 45.2%
Calm 49.8%
Surprised 45.3%
Disgusted 45.7%

Microsoft Cognitive Services

Age 50
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Possible
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.7%

Captions

Microsoft

a vintage photo of a person 81.6%
a vintage photo of a person 79%
a vintage photo of a stuffed animal 40.1%

Text analysis

Amazon

Types
Workmen
of
Types of Gerenan Workmen
Gerenan
NLER.

Google

WORKMLN
German
peLER
MANER
BLACK
Types
of
Workmen
SMITH
TYPES
zRMAN
Types of German Workmen BLACK SMITH peLER MANER TYPES zRMAN WORKMLN