Human Generated Data

Title

Untitled (group portrait of students in graduation gowns posed on bleachers in auditorium)
Date

1957
People

Artist: Orrion Barger, American active 1913 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6605

Human Generated Data

Title

Untitled (group portrait of students in graduation gowns posed on bleachers in auditorium)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1957

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6605

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Accessory 99.6
Accessories 99.6
Tie 99.6
Person 95.5
Human 95.5
Person 95.4
Person 95
Person 93.8
Person 91.3
Apparel 88.4
Helmet 88.4
Clothing 88.4
Shorts 85.5
Tie 84.6
Stage 66.6
Helmet 65.8
Indoors 63.8
People 61.9
Crowd 58.7

Clarifai
created on 2019-03-26

people 98.2
group 96.2
many 92.2
man 92.1
adult 90.1
business 89.1
leader 87.9
woman 85.3
wood 84.8
desktop 84.6
education 83.5
design 81.8
no person 81.7
wear 81.7
group together 80.1
family 79.5
indoors 78
art 77.6
room 77.2
symbol 76.2

Imagga
created on 2019-03-26

brass 80
wind instrument 56.6
musical instrument 39.1
device 26.8
metal 23.3
wood 20.8
horn 19.7
old 19.5
wooden 19.3
door 19
oboe 16.1
trombone 15.6
close 15.4
lock 14.3
entrance 13.5
bugle 13
antique 12.1
ancient 12.1
wall 11.9
vintage 11.7
equipment 11.3
retro 10.6
closed 10.6
handle 10.5
music 10.4
architecture 10.1
key 10.1
locker 10
gold 9.8
black 9.8
business 9.7
group 9.7
brown 9.5
teamwork 9.3
cornet 8.9
detail 8.8
musician 8.7
gate 8.7
concert 8.7
decoration 8.7
classical 8.6
texture 8.3
support 8.3
hall 8.2
technology 8.1
closeup 8.1
team 8
instrumentality 8
shiny 7.9
glass 7.9
band 7.8
golden 7.7
grunge 7.6
musical 7.6
man 7.5
fastener 7.4
people 7.2
board 7.2
headstock 7.1
building 7.1
steel 7.1

Google
created on 2019-03-26

Team 64.1

Microsoft
created on 2019-03-26

wall 98.6
indoor 89.3
old 50.3
black and white 50.3
person 47.6
commencement 32.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Disgusted 45.1%
Calm 53.6%
Angry 45.2%
Happy 45.4%
Sad 45.2%
Surprised 45.3%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Happy 45.3%
Confused 45.2%
Calm 53.7%
Disgusted 45.4%
Angry 45.1%
Surprised 45.3%
Sad 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Surprised 45.1%
Angry 45.1%
Disgusted 45.1%
Happy 45.2%
Sad 45.1%
Confused 45.1%
Calm 54.3%

AWS Rekognition

Age 26-43
Gender Male, 53.4%
Happy 47.3%
Disgusted 46%
Confused 45.9%
Angry 46.2%
Calm 47.2%
Sad 45.6%
Surprised 46.8%

AWS Rekognition

Age 20-38
Gender Male, 50.8%
Disgusted 45.1%
Sad 45.2%
Calm 53.6%
Happy 45.4%
Angry 45.1%
Surprised 45.5%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Male, 52.7%
Angry 45.3%
Happy 49.4%
Surprised 45.6%
Disgusted 45.9%
Confused 45.4%
Calm 47.3%
Sad 46.1%

AWS Rekognition

Age 48-68
Gender Female, 53.1%
Angry 45.5%
Disgusted 45.2%
Calm 51.4%
Sad 46%
Surprised 45.6%
Confused 45.5%
Happy 45.8%

AWS Rekognition

Age 16-27
Gender Female, 51.7%
Angry 45.5%
Happy 49.8%
Disgusted 45.3%
Sad 45.6%
Calm 47.7%
Confused 45.3%
Surprised 45.7%

AWS Rekognition

Age 15-25
Gender Male, 50.4%
Disgusted 45.2%
Angry 45.4%
Happy 46.2%
Confused 45.5%
Calm 50.3%
Sad 45.8%
Surprised 46.5%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Disgusted 45.1%
Angry 45.2%
Surprised 45.4%
Calm 53.2%
Happy 45.4%
Sad 45.4%
Confused 45.2%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Happy 45.6%
Calm 53.5%
Sad 45.2%
Angry 45.1%
Confused 45.1%
Surprised 45.3%
Disgusted 45.1%

AWS Rekognition

Age 29-45
Gender Male, 54.5%
Disgusted 45%
Surprised 45.1%
Calm 54.7%
Sad 45%
Angry 45%
Confused 45%
Happy 45.1%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Angry 45.2%
Disgusted 45.1%
Calm 53.1%
Sad 45.8%
Surprised 45.2%
Confused 45.1%
Happy 45.5%

AWS Rekognition

Age 12-22
Gender Female, 52.8%
Disgusted 45.5%
Sad 47.2%
Surprised 45.5%
Calm 50.5%
Happy 45.5%
Confused 45.3%
Angry 45.5%

AWS Rekognition

Age 20-38
Gender Male, 53.9%
Confused 45.1%
Angry 45.1%
Surprised 45.1%
Disgusted 45.1%
Calm 52.8%
Happy 46.4%
Sad 45.5%

AWS Rekognition

Age 26-44
Gender Female, 52.3%
Angry 45.3%
Calm 51.3%
Confused 45.4%
Disgusted 45.3%
Surprised 46%
Sad 45.5%
Happy 46.1%

AWS Rekognition

Age 19-36
Gender Male, 54.8%
Angry 45.3%
Happy 46.7%
Disgusted 45.4%
Surprised 45.3%
Calm 48.7%
Sad 48.4%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 52.7%
Happy 45.5%
Surprised 45.3%
Angry 45.5%
Disgusted 45.2%
Confused 45.2%
Sad 46.1%
Calm 52.2%

AWS Rekognition

Age 57-77
Gender Male, 54.4%
Angry 45.6%
Sad 46.1%
Surprised 45.4%
Confused 45.2%
Calm 49.2%
Happy 48.3%
Disgusted 45.2%

AWS Rekognition

Age 29-45
Gender Male, 53.4%
Surprised 45.4%
Confused 45.1%
Disgusted 45.2%
Happy 45.5%
Sad 45.9%
Angry 45.2%
Calm 52.6%

AWS Rekognition

Age 14-25
Gender Male, 53.3%
Disgusted 45.1%
Surprised 45.4%
Calm 45.8%
Happy 51.3%
Sad 46.7%
Confused 45.2%
Angry 45.4%

AWS Rekognition

Age 20-38
Gender Female, 51.9%
Confused 45.4%
Disgusted 46%
Happy 47.8%
Calm 47.5%
Angry 45.8%
Surprised 46.5%
Sad 46%

AWS Rekognition

Age 19-36
Gender Female, 51.8%
Disgusted 45.1%
Angry 45.5%
Surprised 45.2%
Calm 52.6%
Happy 45.5%
Sad 46.1%
Confused 45.1%

AWS Rekognition

Age 30-47
Gender Male, 52.5%
Disgusted 45%
Happy 45%
Surprised 45.1%
Angry 45%
Sad 45.1%
Confused 45%
Calm 54.7%

AWS Rekognition

Age 20-38
Gender Female, 53.9%
Angry 45.2%
Happy 45.1%
Sad 46.2%
Confused 45.1%
Disgusted 45.1%
Surprised 45.1%
Calm 53.2%

AWS Rekognition

Age 26-44
Gender Female, 51.9%
Sad 46.4%
Disgusted 45.1%
Happy 45.7%
Calm 51.7%
Angry 45.4%
Confused 45.3%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Calm 45.4%
Disgusted 45.2%
Sad 53.5%
Confused 45.3%
Happy 45.2%
Surprised 45.1%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Confused 45%
Happy 45.1%
Sad 45.1%
Surprised 45.1%
Angry 45%
Disgusted 45%
Calm 54.7%

AWS Rekognition

Age 20-38
Gender Female, 51.1%
Disgusted 45.2%
Surprised 45.3%
Angry 45.7%
Confused 45.4%
Sad 46.3%
Calm 51.3%
Happy 45.8%

Feature analysis

Amazon

Tie 99.6%
Person 95.5%
Helmet 88.4%

Categories

Imagga

text visuals 51.6%
streetview architecture 27.5%
interior objects 18.6%

Text analysis

Amazon

0