Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. "Chicago Commons": Chicago Commons, Chicago, Ill.: The Choral 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, 3.2002.2823.3

Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. "Chicago Commons": Chicago Commons, Chicago, Ill.: The Choral 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, 3.2002.2823.3

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 98.7
Person 98.7
Person 98.1
Person 97
Painting 96.5
Art 96.5
Person 94.9
Person 92.2
People 83.7
Person 81.7
Person 81.7
Person 76.2
Person 75
Tree 69.3
Plant 69.3
Apparel 68.8
Clothing 68.8
Face 68.4
Person 61.7
Kindergarten 59.5
Crowd 58
Audience 56.9
Grass 56.7
Indoors 56.7
Room 56.7
Person 50

Clarifai
created on 2019-06-05

desktop 98.3
dirty 97.4
design 97
abstract 96.9
retro 95.9
vintage 94.7
texture 94.7
wallpaper 94.6
illustration 94.5
pattern 94.1
art 93.1
decoration 93
old 92.8
paper 92.3
sooty 92
graphic 90.9
rough 89.9
vector 89.3
background 89.2
element 89

Imagga
created on 2019-06-05

grunge 52
texture 38.3
floral 36.6
vintage 36.4
wallpaper 34.5
design 34.4
frame 34.3
graphic 32.9
old 32.8
aged 31.7
flower 29.3
antique 28.9
stain 27.9
effect 26.5
canvas 25.6
pattern 24.6
border 24.5
decay 24.2
aging 24
material 23.3
element 23.2
obsolete 23
style 23
plant 22.6
detailed 22.2
retro 22.1
structure 22
edge 21.2
backgrounds 21.1
art 20.8
painterly 20.7
smudged 20.7
mottled 20.5
fracture 20.5
grain 20.3
decoration 20.3
card 20
grime 19.6
crack 19.4
dirty 19
surface 18.5
album 18.5
backdrop 18.2
damask 18.1
textures 18
detail 17.7
decorative 17.6
silhouette 17.4
leaf 16.4
display 14.9
burst 14.7
paint 13.6
paper 13.4
hard 13.3
creative 12.4
drawing 12
stained 11.5
grungy 11.4
ornament 11.2
elements 11.1
season 10.9
stucco 10.8
archive 10.5
space 10.1
rough 10
textured 9.7
wall 9.6
brown 9.6
artistic 9.6
splash 9.5
blank 9.4
light 9.4
holiday 9.3
shape 9
celebration 8.8
spring 8.6
color 8.4
tracery 8.1
painting 8
yellow 8
text 7.9
distressed 7.9
modern 7.7
snowflake 7.7
winter 7.7
ornate 7.3
drop 7.3
curve 7

Google
created on 2019-06-05

People 95.9
Illustration 62.3
Art 58.1
Crowd 57.8
Family 57.7
Child 52

Microsoft
created on 2019-06-05

person 97.6
clothing 96.7
outdoor 90.8
human face 86.1
man 83
old 63.1

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 23-38
Gender Male, 52.4%
Sad 53.3%
Disgusted 45.2%
Angry 45.4%
Surprised 45.1%
Calm 45.5%
Confused 45.3%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 52.5%
Sad 50.8%
Disgusted 45.5%
Confused 45.3%
Surprised 45.2%
Calm 45.3%
Happy 45.3%
Angry 47.7%

AWS Rekognition

Age 14-25
Gender Female, 51.4%
Happy 45.6%
Disgusted 46%
Confused 45.2%
Surprised 45.5%
Sad 48.1%
Angry 45.9%
Calm 48.7%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Sad 47.1%
Calm 45.9%
Disgusted 48.3%
Happy 46.7%
Confused 45.9%
Angry 45.9%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Sad 45.9%
Disgusted 45.1%
Calm 52.4%
Confused 45.7%
Angry 45.7%
Surprised 45.1%
Happy 45.2%

AWS Rekognition

Age 27-44
Gender Male, 51.2%
Angry 48.2%
Surprised 45.1%
Confused 45.2%
Sad 50.5%
Disgusted 45.3%
Happy 45.1%
Calm 45.7%

AWS Rekognition

Age 23-38
Gender Female, 52.1%
Calm 53%
Confused 45.2%
Sad 45.8%
Surprised 45.1%
Happy 45.5%
Disgusted 45.1%
Angry 45.3%

AWS Rekognition

Age 23-38
Gender Male, 53.8%
Disgusted 45.1%
Calm 52.7%
Confused 45.1%
Surprised 45%
Happy 46.4%
Angry 45.1%
Sad 45.6%

AWS Rekognition

Age 26-44
Gender Female, 52.7%
Disgusted 46.1%
Confused 45.2%
Surprised 45.2%
Calm 45.3%
Happy 45.8%
Angry 45.5%
Sad 51.9%

AWS Rekognition

Age 35-52
Gender Female, 54.4%
Disgusted 45.3%
Surprised 45.1%
Angry 45.2%
Confused 45.1%
Sad 52.6%
Calm 45.2%
Happy 46.6%

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Happy 45.1%
Calm 46%
Sad 53.7%
Angry 45.1%
Confused 45.1%
Surprised 45.1%
Disgusted 45%

AWS Rekognition

Age 30-47
Gender Female, 54.6%
Sad 54.3%
Angry 45.2%
Happy 45.2%
Confused 45%
Surprised 45%
Disgusted 45.1%
Calm 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.5%
Disgusted 47%
Confused 45.5%
Angry 46%
Happy 47.2%
Calm 45.6%
Surprised 45.2%
Sad 48.5%

AWS Rekognition

Age 26-43
Gender Male, 51.5%
Sad 45.7%
Surprised 45.1%
Confused 45.1%
Disgusted 45.1%
Happy 45.5%
Calm 53.3%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Surprised 45.6%
Happy 46.3%
Confused 45.4%
Calm 51%
Disgusted 45.2%
Angry 45.5%
Sad 46%

AWS Rekognition

Age 26-43
Gender Female, 53.2%
Angry 45.1%
Disgusted 45.1%
Sad 45.1%
Confused 45%
Happy 54.5%
Surprised 45.1%
Calm 45.1%

AWS Rekognition

Age 35-53
Gender Male, 54.3%
Calm 45.5%
Sad 50.8%
Confused 45.2%
Happy 45.2%
Angry 47.3%
Disgusted 45.7%
Surprised 45.2%

AWS Rekognition

Age 38-59
Gender Female, 53.6%
Disgusted 45.1%
Angry 45.3%
Confused 45.2%
Surprised 45.1%
Calm 45.2%
Sad 54%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 51.3%
Calm 45.7%
Disgusted 45.9%
Confused 45.3%
Angry 46.2%
Sad 51.4%
Happy 45.3%
Surprised 45.2%

AWS Rekognition

Age 20-38
Gender Female, 53.4%
Happy 45.5%
Calm 49.7%
Confused 45.4%
Angry 46.1%
Disgusted 47.2%
Sad 45.8%
Surprised 45.3%

AWS Rekognition

Age 23-38
Gender Male, 53.5%
Disgusted 45.5%
Happy 45.4%
Surprised 45.6%
Angry 48.1%
Confused 46.2%
Calm 45.6%
Sad 48.5%

AWS Rekognition

Age 26-43
Gender Male, 51.5%
Disgusted 45.9%
Sad 49%
Surprised 45.4%
Calm 45.8%
Happy 45.8%
Confused 46.9%
Angry 46.2%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 45.1%
Sad 49.4%
Happy 45.1%
Disgusted 45.5%
Confused 45.1%
Calm 45.1%
Angry 49.6%

AWS Rekognition

Age 30-47
Gender Female, 52%
Happy 46.4%
Calm 46%
Confused 45.7%
Angry 47.1%
Disgusted 48.5%
Sad 45.9%
Surprised 45.5%

AWS Rekognition

Age 27-44
Gender Male, 54.1%
Sad 49.8%
Disgusted 45.3%
Confused 46%
Angry 45.3%
Happy 45.6%
Surprised 45.4%
Calm 47.7%

AWS Rekognition

Age 12-22
Gender Female, 51.4%
Calm 46.8%
Disgusted 45.6%
Confused 45.9%
Happy 46.4%
Angry 46%
Surprised 45.8%
Sad 48.6%

AWS Rekognition

Age 26-43
Gender Female, 50.9%
Angry 47.2%
Disgusted 45.8%
Confused 45.9%
Calm 46.1%
Happy 45.9%
Surprised 45.5%
Sad 48.6%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Happy 45.5%
Surprised 45.1%
Calm 45.7%
Angry 45.5%
Confused 45.1%
Sad 53.1%
Disgusted 45%

AWS Rekognition

Age 20-38
Gender Male, 53.4%
Sad 48.2%
Disgusted 45.5%
Confused 45.5%
Angry 46.6%
Happy 45.3%
Surprised 45.4%
Calm 48.5%

AWS Rekognition

Age 35-55
Gender Male, 54.5%
Confused 45.4%
Angry 45.4%
Disgusted 45.2%
Surprised 45.1%
Sad 52.4%
Happy 45.4%
Calm 46.1%

AWS Rekognition

Age 26-43
Gender Male, 50.6%
Angry 46.3%
Happy 46.1%
Disgusted 50%
Sad 46.5%
Confused 45.6%
Calm 45.3%
Surprised 45.3%

AWS Rekognition

Age 35-53
Gender Female, 52.1%
Angry 45.4%
Confused 45.5%
Calm 47.3%
Sad 45.8%
Happy 50.2%
Disgusted 45.3%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Female, 52.6%
Happy 45.3%
Disgusted 45.6%
Sad 50.5%
Confused 45.2%
Angry 47.8%
Surprised 45.2%
Calm 45.3%

AWS Rekognition

Age 20-38
Gender Female, 53%
Sad 45.3%
Disgusted 45%
Surprised 45.1%
Happy 54.5%
Confused 45%
Angry 45.1%
Calm 45.1%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Disgusted 45.1%
Angry 45.1%
Sad 54.5%
Surprised 45.1%
Happy 45.1%
Calm 45.1%
Confused 45.1%

AWS Rekognition

Age 20-38
Gender Female, 52.5%
Happy 45.3%
Surprised 45.4%
Angry 46.5%
Sad 48.9%
Confused 45.5%
Calm 48.2%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Female, 51.4%
Sad 45.9%
Angry 45.2%
Happy 52.9%
Confused 45.1%
Surprised 45.1%
Disgusted 45.8%
Calm 45.1%

AWS Rekognition

Age 38-57
Gender Female, 54.7%
Calm 45.3%
Confused 45.1%
Surprised 45.1%
Sad 50.9%
Happy 48.2%
Angry 45.2%
Disgusted 45.1%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 47.9%
Disgusted 45.5%
Confused 45.7%
Calm 47.8%
Happy 45.4%
Surprised 45.6%
Sad 47.1%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Disgusted 45.1%
Calm 47%
Angry 45.2%
Sad 52.4%
Happy 45.2%
Surprised 45.1%
Confused 45.2%

AWS Rekognition

Age 45-63
Gender Male, 52.5%
Calm 45.3%
Disgusted 45.5%
Confused 45.3%
Happy 49.8%
Angry 45.4%
Surprised 45.2%
Sad 48.5%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Calm 45.8%
Disgusted 45.7%
Confused 45.3%
Angry 48.7%
Happy 45.2%
Sad 49.1%
Surprised 45.2%

AWS Rekognition

Age 38-59
Gender Male, 54.3%
Disgusted 45.3%
Angry 45.3%
Sad 46.6%
Surprised 45.2%
Happy 45.2%
Calm 52.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 49.9%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.9%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Male, 54%
Angry 45.5%
Happy 45.2%
Disgusted 45.2%
Confused 45.4%
Surprised 45.2%
Sad 47.6%
Calm 50.9%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Confused 46.1%
Angry 46.4%
Disgusted 47.3%
Surprised 45.2%
Sad 46.7%
Happy 47.3%
Calm 45.9%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 53.6%
Calm 45.1%
Surprised 45.1%
Disgusted 45%
Confused 45.1%
Happy 45%
Angry 45.3%
Sad 54.3%

AWS Rekognition

Age 35-52
Gender Female, 54.7%
Calm 45%
Disgusted 45.5%
Confused 45.1%
Angry 45.1%
Happy 54.1%
Sad 45.1%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Calm 47.5%
Angry 45.3%
Confused 45.3%
Sad 50.7%
Happy 45.8%
Disgusted 45.2%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Female, 51.8%
Confused 45.3%
Calm 46.6%
Angry 46.1%
Sad 48.7%
Happy 46.8%
Disgusted 46.1%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.6%
Confused 49.5%
Happy 49.6%
Calm 49.5%
Surprised 49.5%
Sad 49.9%
Angry 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Sad 49.5%
Surprised 49.6%
Disgusted 49.6%
Calm 49.5%
Happy 49.6%
Confused 49.5%
Angry 50%

AWS Rekognition

Age 11-18
Gender Female, 53.9%
Disgusted 45.4%
Calm 46.1%
Surprised 45.3%
Angry 45.5%
Sad 51.9%
Confused 45.4%
Happy 45.4%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 54.8%
Disgusted 48.3%
Calm 47.5%
Angry 46.2%
Sad 45.6%
Happy 46.1%
Surprised 45.8%
Confused 45.4%

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 28
Gender Female

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 42
Gender Male

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 22
Gender Male

Feature analysis

Amazon

Person 98.7%
Painting 96.5%

Categories

Imagga

paintings art 98.1%
interior objects 1.7%