Human Generated Data

Title

Social Settlements: United States. Indiana. Indianapolis. "Flanner Guild": Flanner Guild, Indianapolis, Ind.: Women's Club
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, 3.2002.2908.2

Human Generated Data

Title

Social Settlements: United States. Indiana. Indianapolis. "Flanner Guild": Flanner Guild, Indianapolis, Ind.: Women's Club

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, 3.2002.2908.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.5
Human 99.5
Person 99.4
Person 99.3
Person 99.2
Person 99.1
Person 99.1
Person 98.4
Person 97.9
Person 97.9
Person 96.5
Person 96.1
Person 95.6
Person 94.9
Person 90.3
Person 88
Person 79.8
People 78.2
Person 75.8
Person 73.1
Person 69.1
Military Uniform 57.4
Military 57.4
Face 56.1
Coat 55.3
Apparel 55.3
Clothing 55.3
Suit 55.3
Overcoat 55.3
Person 51.7
Person 49
Person 46.7

Clarifai
created on 2019-06-05

people 100
group 99.7
many 98.6
child 98.4
group together 96.9
adult 96.8
administration 95.7
military 94.1
war 93.2
man 92.6
wear 90.8
portrait 89.8
leader 89.1
several 88.5
soldier 87.8
music 86.2
uniform 83.9
socialism 83.4
woman 82.7
five 81.9

Imagga
created on 2019-06-05

cemetery 83.6
old 36.9
grunge 35.8
vintage 31.4
antique 26
stone 25.6
texture 25
ancient 23.4
aged 22.6
wall 22.6
retro 21.3
art 18.9
memorial 18.8
frame 17.5
grungy 17.1
text 15.7
paper 15.7
paint 15.4
dirty 15.4
gravestone 15.3
history 15.2
structure 15
textured 14.9
decoration 14.9
architecture 14.8
building 14.6
blank 14.6
border 14.5
weathered 14.3
monument 14
pattern 13.7
sculpture 13.6
graffito 13
rough 12.8
brown 12.5
space 12.4
statue 11.8
travel 11.3
historic 11
tourism 10.7
worn 10.5
damaged 10.5
canvas 10.4
construction 10.3
black 10.2
city 10
religion 9.9
aging 9.6
obsolete 9.6
decorative 9.2
drawing 9.2
landmark 9
material 8.9
detail 8.9
graphic 8.8
artistic 8.7
rust 8.7
stained 8.7
dirt 8.6
historical 8.5
design 8.4
house 8.4
sign 8.3
style 8.2
brick 7.8
torn 7.7
empty 7.7
edge 7.7
culture 7.7
brass 7.4
page 7.4
street 7.4
color 7.2
surface 7.1

Google
created on 2019-06-05

Photograph 95.1
People 94.8
Social group 90.7
History 74
Team 70.5
Family 62.5
Vintage clothing 53.5

Microsoft
created on 2019-06-05

clothing 98.9
posing 98.9
old 98.7
person 98
outdoor 88.4
group 88.1
man 86.7
standing 78.4
black 74.5
photograph 72.9
white 71.4
woman 64.2
smile 62.4
school 58.1
human face 57.2
vintage clothing 51.8
vintage 40.7

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 26-43
Gender Male, 50.9%
Surprised 45%
Disgusted 45%
Confused 45%
Sad 54.7%
Calm 45.1%
Happy 45%
Angry 45%

AWS Rekognition

Age 35-52
Gender Female, 54.5%
Surprised 45.1%
Calm 45.7%
Happy 49.5%
Sad 49.4%
Angry 45.1%
Confused 45.1%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Confused 45%
Disgusted 45%
Happy 45.3%
Calm 45.1%
Surprised 45%
Sad 54.5%
Angry 45.1%

AWS Rekognition

Age 4-9
Gender Female, 54.9%
Surprised 45.2%
Happy 46%
Confused 45.1%
Calm 45.7%
Disgusted 45.1%
Angry 45.2%
Sad 52.9%

AWS Rekognition

Age 38-57
Gender Male, 53.7%
Calm 45.5%
Happy 45.2%
Surprised 45.1%
Sad 53.2%
Angry 45.6%
Disgusted 45.1%
Confused 45.2%

AWS Rekognition

Age 48-68
Gender Female, 50.6%
Surprised 45.3%
Calm 46.1%
Happy 48.5%
Sad 49.4%
Confused 45.2%
Angry 45.4%
Disgusted 45.2%

AWS Rekognition

Age 23-38
Gender Female, 53.6%
Happy 46%
Disgusted 45.2%
Confused 45.1%
Surprised 45.1%
Sad 51.8%
Angry 45.1%
Calm 46.6%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Confused 45.2%
Happy 45.3%
Angry 45.4%
Sad 51.9%
Calm 46.8%
Disgusted 45.1%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Female, 51.2%
Disgusted 45.2%
Surprised 45.1%
Angry 46.9%
Confused 45.2%
Sad 51.7%
Calm 45.9%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 52.9%
Angry 45%
Calm 45.1%
Sad 54.8%
Disgusted 45%
Happy 45.1%
Confused 45%
Surprised 45%

AWS Rekognition

Age 27-44
Gender Female, 53%
Calm 50.4%
Confused 45.1%
Angry 45.3%
Surprised 45.3%
Disgusted 45.1%
Sad 48.3%
Happy 45.4%

AWS Rekognition

Age 26-43
Gender Male, 50.8%
Calm 45.7%
Sad 53.7%
Happy 45.1%
Angry 45.2%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 27-44
Gender Female, 52%
Angry 45.4%
Happy 46.7%
Disgusted 47.4%
Surprised 45.5%
Calm 46.9%
Confused 45.5%
Sad 47.5%

AWS Rekognition

Age 35-52
Gender Female, 50.9%
Disgusted 45%
Confused 45%
Angry 45%
Sad 54.8%
Surprised 45%
Happy 45.1%
Calm 45.1%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Calm 52.9%
Confused 45.1%
Sad 46.7%
Surprised 45.1%
Happy 45.1%
Disgusted 45.1%
Angry 45.1%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Surprised 45.8%
Calm 47.6%
Happy 46.6%
Sad 47.8%
Confused 45.2%
Angry 46.1%
Disgusted 46%

AWS Rekognition

Age 26-44
Gender Male, 51.4%
Calm 45.5%
Confused 45.1%
Happy 46.4%
Sad 52.2%
Surprised 45.2%
Disgusted 45.2%
Angry 45.3%

AWS Rekognition

Age 45-63
Gender Female, 53.3%
Confused 45.1%
Angry 45.6%
Happy 45.2%
Sad 52.4%
Disgusted 45.2%
Surprised 45.1%
Calm 46.4%

AWS Rekognition

Age 38-57
Gender Male, 52%
Angry 45.3%
Happy 46.2%
Disgusted 45.4%
Confused 45.2%
Surprised 45.4%
Sad 51.1%
Calm 46.4%

AWS Rekognition

Age 35-52
Gender Female, 52.1%
Disgusted 45.7%
Confused 45.1%
Angry 45.2%
Happy 45.8%
Calm 51.3%
Surprised 45.2%
Sad 46.7%

AWS Rekognition

Age 38-59
Gender Female, 52.4%
Confused 45.2%
Calm 45.5%
Happy 45.3%
Surprised 45.4%
Sad 48.4%
Angry 46%
Disgusted 49.2%

Microsoft Cognitive Services

Age 46
Gender Female

Microsoft Cognitive Services

Age 36
Gender Female

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 47
Gender Female

Microsoft Cognitive Services

Age 39
Gender Female

Microsoft Cognitive Services

Age 9
Gender Female

Microsoft Cognitive Services

Age 52
Gender Male

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 99.5%

Categories

Imagga

paintings art 66%
streetview architecture 31.3%
people portraits 1.6%