Human Generated Data

Title

Untitled (group portrait of young girls holding toys and dolls posed in front of christmas tree)
Date

1952
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, 4.2002.6572

Human Generated Data

Title

Untitled (group portrait of young girls holding toys and dolls posed in front of christmas tree)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1952

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6572

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Tree 99.6
Plant 99.6
Human 98.9
Person 98.9
Person 98.4
Person 97.7
Person 96
Person 95
Person 88.5
Ornament 88.5
Christmas Tree 87.6
Person 81.4
Person 81.2
Lamp 64
Person 62
Person 48

Clarifai
created on 2019-03-26

people 99.6
group 97.8
adult 95.9
woman 95.8
many 95.4
group together 94.9
man 94.3
child 94.2
monochrome 91
crowd 90.7
wear 87.5
room 83.2
indoors 82.8
leader 82.8
administration 82.8
music 81.4
portrait 80.6
family 75.9
singer 75.8
musician 74.1

Imagga
created on 2019-03-26

chandelier 82
lighting fixture 61.8
fixture 46.2
man 20.3
people 16.7
male 14.9
brass 14.4
shop 14.3
business 14
person 13.8
case 13.1
black 12.7
decoration 11.6
human 11.2
design 10.7
businessman 10.6
clothing 10.5
trombone 10.5
window 10.3
wind instrument 10.2
city 10
new 9.7
adult 9.3
gold 9
musical instrument 8.8
interior 8.8
celebration 8.8
urban 8.7
clothes 8.4
old 8.4
lights 8.3
blackboard 8.2
music 8.2
stage 8.2
job 8
couple 7.8
happiness 7.8
two 7.6
fashion 7.5
happy 7.5
art 7.3
work 7.3
glass 7.1
face 7.1

Google
created on 2019-03-26

Photograph 95.3
Black-and-white 68.3
Stock photography 64
Photography 62.4
Team 59.4
Monochrome 54.4
Style 51

Microsoft
created on 2019-03-26

person 93
group 68.9
people 60.7
posing 49.3
crowd 37
black and white 19.2
winter 8.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Female, 50.8%
Disgusted 45.1%
Sad 46.4%
Surprised 45.2%
Calm 50.5%
Happy 47.5%
Confused 45.1%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.9%
Surprised 45.2%
Sad 45.5%
Calm 45.6%
Confused 45.1%
Disgusted 45.1%
Happy 53.4%
Angry 45.1%

AWS Rekognition

Age 35-52
Gender Female, 54.7%
Disgusted 46.1%
Angry 45.9%
Sad 50.7%
Happy 45.3%
Calm 46.1%
Confused 45.4%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Female, 54%
Angry 45.1%
Calm 45.1%
Confused 45%
Disgusted 45.1%
Surprised 45.1%
Sad 45.2%
Happy 54.4%

AWS Rekognition

Age 20-38
Gender Male, 53.2%
Disgusted 45.7%
Angry 46.4%
Calm 47.9%
Surprised 46.1%
Sad 46.6%
Happy 47%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Confused 45.5%
Angry 45.7%
Surprised 45.5%
Disgusted 45.2%
Calm 49.9%
Happy 46.2%
Sad 47%

AWS Rekognition

Age 27-44
Gender Female, 53.1%
Disgusted 45.2%
Calm 48.8%
Sad 45.4%
Confused 45.2%
Happy 49.9%
Surprised 45.2%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.5%
Angry 45.4%
Sad 49.2%
Happy 45.9%
Calm 48.5%
Disgusted 45.3%
Surprised 45.4%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Sad 45.4%
Angry 45.6%
Happy 45.1%
Disgusted 45.4%
Surprised 52.3%
Confused 45.4%
Calm 45.8%

AWS Rekognition

Age 23-38
Gender Female, 52.2%
Happy 46.5%
Calm 50.1%
Sad 45.3%
Angry 45.3%
Confused 45.3%
Surprised 47.3%
Disgusted 45.2%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Angry 45.3%
Happy 46%
Sad 46.9%
Calm 51%
Confused 45.2%
Disgusted 45.2%
Surprised 45.3%

AWS Rekognition

Age 14-25
Gender Female, 53.6%
Disgusted 45%
Confused 45%
Sad 45%
Happy 54.9%
Surprised 45%
Calm 45%
Angry 45%

AWS Rekognition

Age 26-44
Gender Female, 54.8%
Confused 45.2%
Disgusted 45.1%
Happy 51.5%
Calm 45.2%
Angry 45.4%
Surprised 45.2%
Sad 47.5%

AWS Rekognition

Age 26-43
Gender Female, 52%
Angry 45.5%
Sad 52.1%
Surprised 45.5%
Confused 45.2%
Calm 45.4%
Happy 46.2%
Disgusted 45.2%

AWS Rekognition

Age 19-36
Gender Female, 52%
Angry 45.3%
Surprised 45.3%
Sad 49.6%
Calm 48.6%
Confused 45.2%
Happy 45.8%
Disgusted 45.2%

AWS Rekognition

Age 14-23
Gender Female, 54.5%
Sad 46.6%
Surprised 45.3%
Angry 45.2%
Disgusted 45.1%
Confused 45.1%
Calm 45.4%
Happy 52.2%

AWS Rekognition

Age 35-52
Gender Female, 52.1%
Sad 47.5%
Calm 48.6%
Confused 45.5%
Surprised 45.5%
Angry 45.8%
Disgusted 45.5%
Happy 46.6%

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Angry 45.3%
Sad 45.6%
Surprised 45.8%
Confused 45.4%
Calm 47.6%
Happy 50%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Female, 52.1%
Disgusted 45.4%
Surprised 45.8%
Angry 45.6%
Confused 45.4%
Sad 49%
Calm 45.4%
Happy 48.3%

AWS Rekognition

Age 16-27
Gender Female, 52.9%
Angry 45.6%
Happy 46.3%
Sad 48.9%
Confused 45.2%
Disgusted 45.5%
Surprised 45.4%
Calm 48.1%

AWS Rekognition

Age 35-52
Gender Female, 51%
Calm 48.1%
Disgusted 45%
Sad 51.3%
Confused 45.2%
Happy 45.1%
Surprised 45.1%
Angry 45.2%

Feature analysis

Amazon

Person 98.9%

Categories

Imagga

streetview architecture 74.4%
interior objects 17.8%
paintings art 5.2%
food drinks 1.9%

Text analysis

Amazon

YT3A2-
YT3A2- ->AGOX
->AGOX