Human Generated Data

Title

Untitled (class of Kindergarten children posed at swingset)
Date

c. 1950
People

Artist: Harry Annas, American 1897 - 1980
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2386

Human Generated Data

Title

Untitled (class of Kindergarten children posed at swingset)

People

Artist: Harry Annas, American 1897 - 1980

Date

c. 1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2386

Machine Generated Data

Tags

Amazon
created on 2022-01-30

Person 98.4
Human 98.4
Person 97.9
Person 97.8
Shorts 97.5
Clothing 97.5
Apparel 97.5
Person 96.6
Person 96.4
Person 95.1
Person 92.1
Chair 90.5
Furniture 90.5
People 89.5
Person 88.5
Person 88.2
Person 82.6
Person 81.5
Kid 68.4
Child 68.4
Crowd 66.4
Housing 66.3
Building 66.3
Person 65.6
Suit 63.9
Coat 63.9
Overcoat 63.9
Indoors 62.8
Person 62.4
Female 61.5
Person 60.9
Play 56.9
Girl 56.1
Stage 55.4
Swimming Pool 55
Water 55
Pool 55

Clarifai
created on 2023-10-28

people 99.9
group together 99.1
many 98.9
adult 96.7
athlete 95.4
competition 94.5
group 93.6
man 92.6
wear 92.1
spectator 91.9
uniform 90.8
sports equipment 89.8
child 89.1
audience 88.5
outfit 86
woman 83.5
recreation 82.7
crowd 82.5
motion 82.1
boy 81.6

Imagga
created on 2022-01-30

percussion instrument 83.9
steel drum 82.6
musical instrument 66
classroom 45.7
room 37.4
people 19
business 18.2
city 16.6
urban 16.6
window 14.7
marimba 14.6
man 14.1
silhouette 14.1
women 13.4
group 12.9
chair 12.7
transportation 11.6
building 11.6
adult 11.6
travel 11.3
sitting 11.2
men 10.3
male 9.9
working 9.7
station 9.7
crowd 9.6
motion 9.4
day 9.4
person 9.2
transport 9.1
airport 8.8
students 8.8
life 8.7
architecture 8.6
house 8.4
indoor 8.2
office 8.1
interior 8
lifestyle 7.9
rush 7.9
outdoor 7.6
leisure 7.5
outdoors 7.5
street 7.4
speed 7.3
school 7.3
hall 7.2
black 7.2
holiday 7.2
steel 7.1
work 7.1
businessman 7.1
sky 7
modern 7

Google
created on 2022-01-30

Black 89.5
Font 76.3
Monochrome 74
Monochrome photography 71.8
Vintage clothing 69.8
Window 68.6
Player 68.2
Rectangle 67.9
Team sport 67.8
Room 63.9
History 61.9
Uniform 61.8
Team 61.6
Photo caption 61.4
Stadium 56.9
Sport venue 55.8
Photographic paper 53.4
Building 52.4

Microsoft
created on 2022-01-30

text 98.2
person 91.5
outdoor 89.2
clothing 68
player 66.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-30
Gender Male, 99.1%
Sad 41.8%
Happy 18.1%
Calm 12.9%
Fear 10.4%
Surprised 5.1%
Angry 4.2%
Confused 4%
Disgusted 3.5%

AWS Rekognition

Age 48-56
Gender Male, 89.8%
Sad 77.3%
Happy 11.6%
Calm 5.7%
Fear 2.4%
Angry 1.1%
Confused 1%
Disgusted 0.7%
Surprised 0.4%

AWS Rekognition

Age 34-42
Gender Male, 97.6%
Calm 88%
Happy 6.5%
Sad 3.7%
Fear 0.5%
Confused 0.5%
Disgusted 0.4%
Angry 0.2%
Surprised 0.2%

AWS Rekognition

Age 29-39
Gender Male, 97.7%
Sad 60.7%
Happy 36.1%
Fear 1.1%
Disgusted 0.7%
Confused 0.5%
Surprised 0.4%
Angry 0.3%
Calm 0.2%

AWS Rekognition

Age 39-47
Gender Female, 86.4%
Calm 93.9%
Happy 4.5%
Sad 1.2%
Disgusted 0.1%
Fear 0.1%
Angry 0.1%
Surprised 0.1%
Confused 0.1%

AWS Rekognition

Age 26-36
Gender Female, 95%
Happy 78.3%
Calm 8.3%
Sad 7.5%
Fear 1.7%
Confused 1.2%
Surprised 1.1%
Disgusted 1%
Angry 0.8%

AWS Rekognition

Age 40-48
Gender Male, 74.3%
Sad 54.3%
Happy 40.1%
Fear 2.6%
Confused 1%
Disgusted 0.7%
Angry 0.6%
Calm 0.5%
Surprised 0.2%

AWS Rekognition

Age 25-35
Gender Male, 99.9%
Calm 53.5%
Happy 35.6%
Confused 5.8%
Sad 3.1%
Angry 0.7%
Disgusted 0.5%
Surprised 0.5%
Fear 0.2%

AWS Rekognition

Age 36-44
Gender Male, 97.4%
Sad 80.6%
Happy 10.2%
Calm 4.5%
Fear 1.3%
Confused 1.1%
Angry 1.1%
Disgusted 1%
Surprised 0.3%

AWS Rekognition

Age 31-41
Gender Female, 63.8%
Calm 52.8%
Sad 24.9%
Happy 14.3%
Surprised 2.3%
Fear 1.9%
Angry 1.3%
Disgusted 1.3%
Confused 1.1%

AWS Rekognition

Age 50-58
Gender Female, 88.8%
Sad 40.8%
Calm 33.1%
Confused 20.4%
Angry 2.2%
Surprised 1.2%
Disgusted 1.1%
Happy 0.8%
Fear 0.4%

AWS Rekognition

Age 21-29
Gender Male, 76.7%
Sad 86%
Calm 10.2%
Happy 1.6%
Fear 0.6%
Disgusted 0.6%
Confused 0.5%
Angry 0.4%
Surprised 0.2%

AWS Rekognition

Age 37-45
Gender Male, 52.8%
Calm 92.7%
Sad 3.9%
Happy 1.1%
Fear 0.7%
Angry 0.5%
Disgusted 0.4%
Confused 0.4%
Surprised 0.3%

AWS Rekognition

Age 29-39
Gender Female, 97.1%
Happy 96.4%
Sad 2.6%
Disgusted 0.4%
Calm 0.2%
Angry 0.2%
Surprised 0.1%
Fear 0.1%
Confused 0%

AWS Rekognition

Age 26-36
Gender Male, 89.4%
Calm 95.8%
Happy 3.5%
Confused 0.3%
Sad 0.1%
Disgusted 0.1%
Angry 0.1%
Fear 0.1%
Surprised 0.1%

AWS Rekognition

Age 19-27
Gender Male, 94.6%
Calm 90.2%
Fear 3.3%
Sad 3.1%
Happy 1.9%
Confused 0.5%
Angry 0.5%
Surprised 0.3%
Disgusted 0.2%

AWS Rekognition

Age 27-37
Gender Male, 99.9%
Confused 37.2%
Happy 18.5%
Sad 13.8%
Calm 12.4%
Disgusted 6%
Angry 5.4%
Surprised 3.7%
Fear 3%

AWS Rekognition

Age 29-39
Gender Female, 50.2%
Calm 40.7%
Happy 32.1%
Sad 16%
Fear 3.2%
Disgusted 2.3%
Angry 1.9%
Confused 1.8%
Surprised 1.8%

AWS Rekognition

Age 18-26
Gender Male, 94.8%
Sad 59.9%
Angry 17.6%
Calm 10%
Disgusted 3.8%
Happy 2.8%
Fear 2.2%
Surprised 2%
Confused 1.7%

Feature analysis

Amazon

Person
Person 98.4%
Person 97.9%
Person 97.8%
Person 96.6%
Person 96.4%
Person 95.1%
Person 92.1%
Person 88.5%
Person 88.2%
Person 82.6%
Person 81.5%
Person 65.6%
Person 62.4%
Person 60.9%

Text analysis

Amazon

NAGON