Human Generated Data

Title

Social Settlements: United States. Ohio. Cleveland. Hiram House: Hiram House. Cleveland, Ohio: Sewing School.

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.184.1

Human Generated Data

Title

Social Settlements: United States. Ohio. Cleveland. Hiram House: Hiram House. Cleveland, Ohio: Sewing School.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.184.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Crowd 97.7
Audience 97.7
Human 97.7
Person 96.3
Person 96.1
Person 95.3
Person 93
Person 89.3
Indoors 84.5
People 84
Room 81.3
Restaurant 80.9
Cafeteria 80.1
Person 79.3
Person 75.5
Person 69.3
Person 68
Person 67.1
Person 65.9
Person 63.1
Person 60.1
Interior Design 59.4
Speech 57.4
Lecture 57.4
Person 54.8
Person 50.8

Clarifai
created on 2019-06-05

people 99.9
many 99.4
group 98.4
group together 97.1
crowd 96.3
adult 93.2
spectator 93
audience 91.2
man 90.7
wear 87.3
furniture 86.5
leader 86.4
administration 82.3
movie 81.8
military 81.7
seat 75.6
child 75.5
outfit 75.2
woman 75
music 74.6

Imagga
created on 2019-06-05

hall 34.6
theater curtain 30.6
silhouette 27.3
curtain 26.3
design 25.3
grunge 21.3
art 20.7
crowd 20.1
blind 18.4
spectator 16.5
event 15.7
audience 15.6
stage 15
symbol 14.1
digital 13.8
texture 13.2
graphic 13.1
people 12.8
classroom 12.7
protective covering 12.6
light 12
platform 11.5
room 11.4
dance 11.4
nation 11.4
icon 11.1
architecture 10.9
aged 10.9
man 10.7
wallpaper 10.7
retro 10.6
map 10.6
person 10.5
world 10.5
modern 10.5
pattern 10.2
vintage 9.9
old 9.7
business 9.7
fight 9.7
antique 9.6
skill 9.6
black 9.6
urban 9.6
flag 9.6
dangerous 9.5
drawing 9.4
sport 9.3
bright 9.3
training 9.2
frame 9.1
protection 9.1
border 9
dirty 9
weapon 9
music 9
building 8.9
financial 8.9
style 8.9
stab 8.9
fencing 8.9
versus 8.9
technique 8.8
blade 8.8
sword 8.8
cheering 8.8
nighttime 8.8
stadium 8.8
championship 8.8
gear 8.7
match 8.7
patriotic 8.6
athlete 8.6
muscular 8.6
party 8.6
sharp 8.6
travel 8.4
vivid 8.4
lights 8.3
competition 8.2
star 8.2
data 8.2
decoration 8.2
technology 8.2
vibrant 7.9
artistic 7.8
silhouettes 7.8
disco 7.7
sky 7.6
finance 7.6
city 7.5
investment 7.3
earth 7.3
global 7.3
dancer 7.3
male 7.1
creative 7.1

Google
created on 2019-06-05

Photograph 97.1
Snapshot 86.7
Stock photography 73.4
Photography 67.8
Event 67
Room 65.7
Crowd 62.7
Black-and-white 56.4
History 54.1
Illustration 50.4
Art 50.2

Microsoft
created on 2019-06-05

person 90.6
clothing 80.5
old 75.2
player 71.6
white 68.4
people 59.2
watching 58.4
woman 56.1
crowd 54.9
posing 35.7
picture frame 7.7

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 10-15
Gender Female, 53.5%
Surprised 45%
Calm 45%
Happy 45%
Angry 45%
Sad 54.9%
Disgusted 45%
Confused 45%

AWS Rekognition

Age 26-43
Gender Female, 54.5%
Sad 50.9%
Happy 45.3%
Surprised 45.3%
Disgusted 45.2%
Confused 45.4%
Calm 46.1%
Angry 46.8%

AWS Rekognition

Age 35-52
Gender Male, 51.3%
Surprised 45%
Happy 45%
Sad 54.4%
Angry 45.1%
Disgusted 45%
Confused 45%
Calm 45.4%

AWS Rekognition

Age 20-38
Gender Female, 51.7%
Disgusted 45.3%
Confused 45.6%
Surprised 45.5%
Calm 45.7%
Happy 46%
Angry 45.7%
Sad 51.3%

AWS Rekognition

Age 11-18
Gender Female, 53.3%
Happy 45%
Sad 54.8%
Angry 45.1%
Surprised 45%
Calm 45.1%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Calm 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.4%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.2%
Calm 49.7%
Disgusted 49.7%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 15-25
Gender Female, 52.4%
Calm 45.3%
Happy 45.1%
Confused 45.1%
Sad 45.2%
Angry 54%
Surprised 45.1%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 50.2%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Happy 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.4%
Calm 49.7%
Confused 49.5%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Angry 49.6%
Sad 50.3%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.4%
Sad 49.9%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 50%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Disgusted 49.5%
Surprised 49.6%
Sad 49.9%
Angry 49.6%
Happy 49.7%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Confused 49.6%
Disgusted 49.5%
Surprised 49.7%
Sad 49.6%
Angry 49.6%
Happy 49.5%
Calm 50%

AWS Rekognition

Age 4-7
Gender Male, 54.7%
Confused 45.4%
Sad 47.6%
Disgusted 49.5%
Angry 45.8%
Happy 45.2%
Calm 46.3%
Surprised 45.2%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.6%
Sad 50.1%
Calm 49.6%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.4%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Happy 49.5%
Sad 49.9%
Angry 49.6%
Surprised 49.6%
Calm 49.6%
Confused 49.7%
Disgusted 49.6%

AWS Rekognition

Age 38-59
Gender Female, 50.5%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Sad 49.6%
Surprised 49.6%
Calm 49.9%
Angry 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Angry 49.5%
Disgusted 49.5%
Sad 50.3%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.2%
Calm 49.6%
Surprised 49.5%
Confused 49.6%
Sad 50.2%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 50%
Sad 49.7%
Angry 49.6%
Confused 49.6%
Happy 49.6%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 51.1%
Surprised 45.5%
Confused 45.9%
Angry 45.8%
Happy 45.1%
Calm 45.7%
Disgusted 46%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Angry 49.5%
Calm 49.7%
Disgusted 49.5%
Surprised 49.5%
Sad 49.9%
Happy 49.5%
Confused 49.8%

AWS Rekognition

Age 17-27
Gender Male, 50.5%
Calm 49.8%
Surprised 49.6%
Happy 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 49.8%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Happy 45.4%
Sad 49.6%
Surprised 45.3%
Angry 46.9%
Calm 47%
Disgusted 45.5%
Confused 45.3%

AWS Rekognition

Age 4-7
Gender Female, 50.5%
Sad 50.1%
Angry 49.6%
Calm 49.6%
Confused 49.6%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 96.3%

Categories

Text analysis

Amazon

SJeo
Sewing
Sewing 5chol.
5chol.

Google

Sewing School.
Sewing
School.