Human Generated Data

Title

Untitled (male students working in woodshop)

Date

1949-1950

People

Artist: Orrion Barger, American active 1913 - 1984

Classification

Photographs

Human Generated Data

Title

Untitled (male students working in woodshop)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1949-1950

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 99.8
Human 99.8
Person 99.7
Person 99.7
Person 99.3
Person 98.5
Apparel 93.6
Clothing 93.6
Shorts 72.7
Female 69.2
Clinic 63.7
Photo 57.3
Photography 57.3
Workshop 57.1
Building 56.5
Girl 56.1
Flooring 55.3

Clarifai

people 99.8
group 98.1
group together 97.7
adult 97.6
man 96.3
wear 94.5
several 93.4
woman 93.1
vehicle 92.8
three 90.1
administration 88.4
four 85.4
five 83.5
military 83.5
medical practitioner 83.1
two 82.9
many 82.2
education 82
outfit 80.5
war 79

Imagga

groom 41.9
people 32.9
bride 31.6
dress 28.9
person 28.6
wedding 28.5
man 25.5
love 25.2
couple 24.4
adult 22.4
married 21.1
male 20.6
happy 20
happiness 19.6
marriage 18
clothing 16.8
portrait 16.2
together 15.8
hairdresser 15.7
smile 15.7
smiling 15.2
church 14.8
veil 14.7
gown 14.6
two 14.4
looking 13.6
ceremony 13.6
celebration 13.6
women 13.4
medical 13.2
bouquet 13.2
seller 13.1
hospital 13.1
men 12.9
patient 12.7
bridal 12.6
life 12.5
health 12.5
nurse 12.5
doctor 12.2
flowers 12.2
human 12
garment 11.8
white 11.7
husband 11.4
wife 11.4
fashion 11.3
surgeon 11.2
lifestyle 10.8
suit 10.8
religion 10.8
face 10.7
attractive 10.5
old 10.4
wed 9.8
worker 9.8
romantic 9.8
robe 9.8
family 9.8
lady 9.7
outdoors 9.7
medicine 9.7
hair 9.5
uniform 9.5
work 9.4
senior 9.4
hand 9.1
care 9.1
surgery 8.8
day 8.6
outside 8.6
coat 8.5
religious 8.4
professional 8.4
elegance 8.4
joy 8.4
city 8.3
lab coat 8.3
holding 8.3
park 8.2
room 8.2
cheerful 8.1
romance 8
mask 8
surgical 7.9
world 7.8
model 7.8
shop 7.7
illness 7.6
traditional 7.5
new 7.3
business 7.3
modern 7
look 7

Microsoft

person 96.3
shop 8.7
black and white 3.7
monochrome 0.8
art 0.8

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 93.7%
Angry 5%
Sad 14.7%
Surprised 2.2%
Confused 3%
Calm 72.5%
Happy 1.4%
Disgusted 1.1%

AWS Rekognition

Age 30-47
Gender Male, 51.9%
Calm 47.3%
Happy 45%
Angry 45.8%
Disgusted 45.1%
Confused 45%
Sad 51.7%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 55.8%
Sad 28.9%
Happy 1.3%
Angry 5.9%
Disgusted 53.2%
Confused 3%
Calm 6.6%
Surprised 1.1%

AWS Rekognition

Age 26-43
Gender Male, 52.9%
Sad 45.3%
Happy 45.1%
Calm 46.5%
Angry 51.6%
Surprised 45.2%
Disgusted 46.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Angry 46.1%
Happy 45.4%
Sad 49.3%
Confused 46%
Disgusted 45.6%
Surprised 45.4%
Calm 47%

AWS Rekognition

Age 35-53
Gender Male, 53.5%
Angry 45.3%
Disgusted 45.1%
Confused 45.6%
Surprised 45.3%
Sad 46%
Happy 45.1%
Calm 52.5%

Feature analysis

Amazon

Person 99.8%

Captions

Microsoft

a group of people standing in a room 89.3%
a group of people in a room 88.9%
a group of people that are standing in a room 85.2%