Human Generated Data

Title

Untitled (large group portrait of accordion players on stage)
Date

1959
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, 4.2002.6560

Human Generated Data

Title

Untitled (large group portrait of accordion players on stage)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1959

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6560

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Human 96.9
Person 96.9
Person 96.5
Person 96.5
Person 96.4
Person 96
Person 95.4
Person 95.3
Person 93.2
Person 92.8
Person 91.6
Person 89
Indoors 88.3
Interior Design 88.3
Person 87.7
Person 87.2
Person 87
Crowd 86.5
Person 85.3
Person 84.9
Person 84.5
Person 79.5
Person 78.7
Audience 78.4
Person 77.6
Person 76.2
Person 73.9
Stage 73.5
Furniture 72.1
Chair 72.1
Person 65.8
Person 65.7
People 62.2
Room 61.4
Auditorium 57.1
Theater 57.1
Hall 57.1
Leisure Activities 55.3
Person 42.5

Clarifai
created on 2019-03-26

people 99.8
group 98.7
group together 97.6
many 96.9
adult 96.6
man 94.5
education 94.4
administration 94.3
furniture 92.7
room 91.9
leader 91.6
woman 91.2
teacher 90.5
school 89
classroom 87.2
several 84.6
crowd 83.4
chair 83.1
monochrome 82.3
vehicle 81.1

Imagga
created on 2019-03-26

brass 46.5
wind instrument 42
musical instrument 39.9
people 33.4
group 31.4
person 28.7
classroom 26.8
room 26.7
man 26.3
business 24.3
male 24.1
businessman 22.9
cornet 22.5
adult 20.2
table 20
meeting 19.8
outfit 19.1
music 18.4
office 18.1
concert 17.5
trombone 17.3
men 17.2
education 16.4
businesswoman 16.3
corporate 15.4
team 15.2
chair 15.1
job 15
women 15
professional 14.8
smiling 14.5
happy 14.4
work 14.1
stage 13.8
worker 13.5
sitting 12.9
communication 12.6
desk 12.4
teacher 12.4
guitar 12.1
teamwork 12
student 11.9
confident 11.8
musical 11.5
businesspeople 11.4
musician 11.3
success 11.2
modern 11.2
study 11.2
manager 11.2
indoor 10.9
students 10.7
indoors 10.5
performance 10.5
executive 10.1
entertainment 10.1
school 10.1
silhouette 9.9
employee 9.9
teaching 9.7
interior 9.7
band 9.7
class 9.6
percussion instrument 9.5
bass 9.4
sound 9.4
learning 9.4
blackboard 9.3
successful 9.1
marimba 9.1
portrait 9
audience 8.8
equipment 8.6
crowd 8.6
design 8.4
black 8.4
gymnasium 8.3
lights 8.3
occupation 8.2
board 8.1
suit 8.1
computer 8.1
conference 7.8
discussion 7.8
colleagues 7.8
exam 7.7
hand 7.6
adults 7.6
human 7.5
row 7.4
training 7.4
playing 7.3
art 7.1
smile 7.1
idea 7.1
night 7.1
together 7

Google
created on 2019-03-26

Photograph 94.8
Room 71.4
Class 66.6
Team 64.1
Black-and-white 56.4

Microsoft
created on 2019-03-26

person 97.5
player 66.7
table 30.5
restaurant 26.3
music 6.6
event 5.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Male, 53.8%
Sad 49.7%
Disgusted 45.2%
Happy 45.5%
Calm 48.8%
Angry 45.4%
Confused 45.1%
Surprised 45.3%

AWS Rekognition

Age 45-63
Gender Female, 51.3%
Disgusted 45.5%
Sad 46.7%
Surprised 46.2%
Calm 47.7%
Happy 46.2%
Confused 45.9%
Angry 46.9%

AWS Rekognition

Age 35-53
Gender Female, 51.9%
Disgusted 45.1%
Calm 53.2%
Sad 45.5%
Confused 45.2%
Happy 45.4%
Surprised 45.5%
Angry 45.2%

AWS Rekognition

Age 23-38
Gender Female, 50.8%
Sad 45.9%
Confused 45.7%
Happy 50.1%
Angry 45.7%
Calm 46.8%
Disgusted 45.4%
Surprised 45.4%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.6%
Angry 49.6%
Calm 50.2%

AWS Rekognition

Age 48-68
Gender Female, 50%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 53.3%
Angry 45.3%
Surprised 45.2%
Sad 45.4%
Calm 53.2%
Confused 45.2%
Happy 45.5%
Disgusted 45.1%

AWS Rekognition

Age 49-69
Gender Female, 50.3%
Disgusted 49.8%
Angry 49.6%
Sad 49.7%
Calm 49.9%
Surprised 49.5%
Confused 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 53.3%
Happy 47.2%
Calm 48.1%
Sad 45.7%
Angry 46.9%
Surprised 45.8%
Disgusted 45.8%
Confused 45.5%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Happy 49.9%
Calm 49.9%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 53.6%
Happy 45.2%
Disgusted 45.1%
Sad 51.6%
Angry 45.2%
Confused 45.3%
Surprised 45.1%
Calm 47.4%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Disgusted 49.5%
Calm 50.1%
Sad 49.7%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 52.3%
Sad 46.2%
Angry 45.4%
Disgusted 45.1%
Calm 49%
Surprised 45.4%
Confused 45.6%
Happy 48.4%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 46.8%
Disgusted 45.2%
Sad 51.9%
Confused 45.3%
Happy 45.4%
Surprised 45.2%
Angry 45.3%

AWS Rekognition

Age 45-65
Gender Female, 50.2%
Surprised 49.5%
Sad 50.3%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Confused 45%
Angry 45.1%
Surprised 45.1%
Disgusted 45%
Calm 54.4%
Happy 45.1%
Sad 45.3%

AWS Rekognition

Age 26-43
Gender Female, 53%
Happy 45.8%
Confused 45.6%
Calm 48.5%
Sad 46.6%
Disgusted 45.3%
Angry 46.5%
Surprised 46.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Disgusted 49.5%
Angry 49.6%
Sad 49.8%
Happy 49.6%
Calm 50%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Male, 52.2%
Disgusted 45.1%
Confused 45.9%
Surprised 45.4%
Angry 45.2%
Happy 50.8%
Sad 45.6%
Calm 47%

AWS Rekognition

Age 35-52
Gender Female, 50%
Angry 46.3%
Happy 45.7%
Sad 47.8%
Calm 49%
Confused 45.4%
Disgusted 45.5%
Surprised 45.3%

AWS Rekognition

Age 30-47
Gender Female, 54.4%
Happy 45%
Sad 53.6%
Angry 45.1%
Disgusted 45.1%
Surprised 45.1%
Calm 45.9%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Sad 49.6%
Disgusted 49.8%
Happy 49.6%
Calm 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 50%
Happy 49.7%
Sad 49.7%

AWS Rekognition

Age 38-59
Gender Female, 50.3%
Disgusted 49.5%
Angry 49.5%
Sad 49.5%
Happy 50.4%
Calm 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.6%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Surprised 49.7%
Angry 49.8%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Male, 53%
Disgusted 45.2%
Happy 45.4%
Angry 45.7%
Sad 48.1%
Calm 49.7%
Confused 45.4%
Surprised 45.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Calm 49.5%
Happy 49.7%
Sad 50%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Sad 49.6%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.3%
Surprised 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Sad 49.8%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.1%
Surprised 49.5%

AWS Rekognition

Age 10-15
Gender Female, 53.2%
Angry 45.4%
Sad 48.7%
Surprised 45.4%
Confused 45.3%
Calm 50%
Happy 45.1%
Disgusted 45.2%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Sad 50.1%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.8%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 50.2%
Sad 49.7%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%
Sad 49.9%
Calm 49.9%

AWS Rekognition

Age 17-27
Gender Female, 52%
Disgusted 46.2%
Surprised 45.9%
Confused 46.6%
Calm 47.4%
Happy 45.7%
Angry 47.8%
Sad 45.5%

AWS Rekognition

Age 57-77
Gender Female, 50.2%
Angry 45.8%
Happy 46.3%
Sad 47%
Confused 45.9%
Disgusted 45.6%
Surprised 45.9%
Calm 48.5%

Feature analysis

Amazon

Person 96.9%

Categories

Imagga

streetview architecture 99.1%

Text analysis

Amazon

PUKWANA
SLADEK
FEED
GRAIN
WILLRODT
T
FAAMHAND
WILLRODT MOTOR PUKWANA GRAIN BRULE CO RERATIVE FAAMERS UNION SLADEK CHAMAERLAIN MOTORS
ELEVATOR
UNION
BRULE
MOTOR
FAAMERS
TO TUBES FAAMHAND
TO
FEED HONE ELEVATOR SERVICE
CHAMAERLAIN
SERVICE
MOTORS
OMC
TUBES
CO RERATIVE
OMC E CO.
HONE
CO.
E

Google

CHAMBERLAIN MOTORS In SALES & WILLRODT MOTOR CO.MAR UKWANA GRAI ARMERS UNION O-OP ELEVATOR ERVICE O OPERATIVE JOHN DEERE A G00D PLACE TO ELL YOUR GRAIN FARNER OPERATED FARM TIRES TUBES al
CHAMBERLAIN
MOTORS
In
SALES
&
WILLRODT
MOTOR
CO.MAR
UKWANA
GRAI
ARMERS
UNION
O-OP
ELEVATOR
ERVICE
O
OPERATIVE
JOHN
DEERE
A
PLACE
TO
FARNER
OPERATED
al
G00D
ELL
YOUR
GRAIN
FARM
TIRES
TUBES