Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Westmoreland County. H.C. Frick Coke Company: Welfare and Educational Work for the Families of Employees: District nurses teaching mothers how to care for their babies.

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Westmoreland County. H.C. Frick Coke Company: Welfare and Educational Work for the Families of Employees: District nurses teaching mothers how to care for their babies.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.4
Person 99.4
Person 99.4
Person 93.9
Furniture 93.6
Chair 93.6
Clinic 89
Person 83
Advertisement 70.5
Poster 68.4
Hospital 60.6
Text 57.2

Clarifai

people 99.7
adult 98.5
indoors 96.9
woman 96.5
man 95.2
group 93.9
wear 93.1
one 92.9
room 90.8
furniture 90.7
two 89.9
child 86.9
music 83.1
administration 82.6
side view 81.4
family 80.2
four 79.5
actress 78.5
many 78.4
painting 77.8

Imagga

web site 19.9
people 15.6
old 15.3
building 15.3
statue 14.4
history 14.3
newspaper 14.3
man 14.1
shop 13.2
adult 12.8
business 12.1
product 12
sculpture 11.9
historic 11.9
architecture 11.7
indoors 11.4
male 11.3
art 11.2
monument 11.2
creation 11
office 10.4
city 10
vintage 9.9
mercantile establishment 9.7
interior 9.7
daily 9.6
bride 9.6
men 9.4
person 9.3
portrait 9.1
dress 9
black 9
boutique 8.8
home 8.8
room 8.7
smile 8.5
historical 8.5
travel 8.4
tourism 8.2
businessman 7.9
face 7.8
culture 7.7
house 7.5
one 7.5
famous 7.4
symbol 7.4
wedding 7.4
barbershop 7.2
bakery 7.1
family 7.1
marble 7.1
work 7.1
clothing 7

Microsoft

person 90.1
indoor 89.8
clothing 89.4
furniture 82.4
house 73.6
table 67
woman 65.4

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Disgusted 47.2%
Surprised 45.1%
Confused 45.1%
Sad 45.6%
Calm 51.5%
Angry 45.2%
Happy 45.3%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Angry 45.5%
Happy 45.7%
Disgusted 47.3%
Confused 45.4%
Surprised 45.2%
Sad 45.9%
Calm 50%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.8%
Disgusted 49.5%
Surprised 49.5%
Sad 49.8%
Happy 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.6%
Calm 49.9%
Confused 49.6%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Sad 49.7%

AWS Rekognition

Age 12-22
Gender Male, 50.5%
Confused 49.6%
Surprised 49.6%
Happy 49.6%
Disgusted 49.6%
Calm 49.8%
Sad 49.8%
Angry 49.7%

Feature analysis

Amazon

Person 99.4%
Chair 93.6%

Captions

Microsoft

a person standing in front of a mirror 61.1%
a person standing in front of a mirror posing for the camera 58%
a person standing in front of a mirror posing for the camera 41.1%

Text analysis

Amazon

Families
Employees
the
Educational
Welfare and Educational Work for the Families of Employees
for
of
Welfare and
Work
PRE
care
EEL
babies.
their
to care for their babies.
to
NURSE PRE MILH POR
MILH
POR
So EEL CoRPORA
NURSE
CoRPORA
So
Distre
Oe
th
Foe th
Distre tne
Foe
tne

Google

CORPORNTI
NURSE
s
ABABY
nurae
how
Welfare and Educational Work for the Families of Employees es H.E.FREK CORE co SUSIDIARYOR EEL CORPORNTI NURSE PREE s MILK POR ABABY Ddrtese inche es District nurae teaching mo there how to eare for their babies.
and
Work
for
H.E.FREK
mo
of
Employees
CORE
co
SUSIDIARYOR
District
teaching
Educational
Families
EEL
PREE
MILK
POR
es
to
their
babies.
Welfare
the
Ddrtese
inche
there
eare