Human Generated Data

Title

Industrial Problems, Welfare Work: United States: Welfare and Educational Work for the Families of Employees

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Industrial Problems, Welfare Work: United States: Welfare and Educational Work for the Families of Employees

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.5
Person 99.5
Person 99.4
Person 99.4
Person 99.3
Person 98.8
Person 93.9
Person 89.9
Person 87.6
Person 84.2
Person 83.3
Apparel 82.9
Clothing 82.9
Nature 82
Person 80.1
Person 79.3
Outdoors 76.1
Person 70.7
Advertisement 70.3
Wood 69.5
Building 68.8
People 68.7
Poster 67.6
Housing 66.2
Soil 63.1
Water 56.1
Ocean 56.1
Sea 56.1
Plywood 55.6
Brochure 55.4
Flyer 55.4
Paper 55.4
Person 51.8

Clarifai

people 96
no person 95.7
man 93.8
adult 91.4
group 90.9
paper 88.6
many 86.9
business 86.9
indoors 85.3
print 85.2
outdoors 84.8
winter 82.2
illustration 81.9
architecture 81.4
war 80.8
house 80.4
woman 80
nature 79.4
layout 78.9
retro 78.9

Imagga

web site 53.9
sewage system 33.5
facility 28.4
house 23.4
room 20.8
grunge 19.6
home 18.3
vintage 18.2
old 17.4
interior 16.8
design 16.3
structure 14.3
architecture 14
window 13.5
retro 13.1
insulating material 12.6
modern 12.6
antique 12.5
dirty 11.7
business 11.5
travel 11.3
building 11.2
texture 11.1
furniture 11
elegance 10.9
frame 10.8
city 10.8
silhouette 10.8
memorial 10.6
urban 10.5
wall 10.5
luxury 10.3
pattern 10.2
table 10.1
history 9.8
art 9.7
drawing 9.7
residential 9.6
building material 9.5
paper 9.4
light 9.4
inside 9.2
paint 9
transportation 9
chair 8.9
style 8.9
gravestone 8.8
decoration 8.8
graphic 8.7
symbol 8.7
ancient 8.6
skyline 8.5
grungy 8.5
black 8.4
floor 8.4
wood 8.3
sky 8.3
people 7.8
mine 7.8
scene 7.8
space 7.8
estate 7.6
cityscape 7.6
tourism 7.4
transport 7.3
new 7.3
color 7.2
kitchen 7.2
stone 7.1
indoors 7

Google

Microsoft

indoor 91.8
room 51.9
businesscard 28.2
several 14.4

Face analysis

Amazon

AWS Rekognition

Age 45-66
Gender Female, 50.1%
Confused 49.6%
Surprised 49.5%
Calm 49.6%
Angry 49.7%
Disgusted 49.6%
Happy 49.6%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Disgusted 50.3%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Sad 49.7%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Calm 50%
Confused 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Happy 49.6%
Sad 49.6%
Calm 49.7%
Confused 49.6%
Angry 49.6%
Disgusted 49.8%
Surprised 49.6%

Feature analysis

Amazon

Person 99.5%

Captions

Microsoft

a group of people in a room 46.1%

Text analysis

Amazon

Work
Families
for
of
the
Emplovees
and
Welfare
Welfare and Edncational Work for the Families of Emplovees
Edncational
in
Boy
model
Gardenine
Boy learning the ars of Gardenine
learning
domeesie
in domeesie acienge the or the model
ars
or
acienge
Dhstis

Google

the
Families
of
gardening
home
and
for
at
aoseatie
aeience
Welfare and Educational Work for the Families of Employees Boya learning the art of gardening at the nodel home, the kitohen of the nodel aoseatie aeience home Cor
Welfare
Educational
Employees
learning
art
kitohen
Work
nodel
Boya
home,
Cor