Human Generated Data

Title

Social Settlements: United States. Alabama. W. Huntsville. Virginia Hall: Virginia Hall, Huntsville, Alabama.: Night School for Boys. These boys work in the cotton factories
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, 3.2002.2788.1

Human Generated Data

Title

Social Settlements: United States. Alabama. W. Huntsville. Virginia Hall: Virginia Hall, Huntsville, Alabama.: Night School for Boys. These boys work in the cotton factories

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, 3.2002.2788.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Classroom 100
Indoors 100
Room 100
School 100
Furniture 99.7
Chair 99.7
Person 99.5
Human 99.5
Person 99.3
Person 98.1
Chair 97.9
Person 97.4
Chair 95.9
Person 95.7
Person 95.1
Person 94.1
Person 94
Person 93.4
Person 92.4
Person 82.3
Person 75.8
Person 69.3
Person 55
Person 43.5
Person 41.5

Clarifai
created on 2019-06-04

people 99.9
group 99.7
group together 98.6
many 97.9
adult 97.3
administration 94.7
man 94
education 93.9
child 93.6
woman 93
leader 90.1
several 88.8
school 86.2
teacher 85
furniture 84.4
room 84.1
elementary school 84
war 81.8
classroom 81.3
boy 79.6

Imagga
created on 2019-06-04

glass 42.4
grunge 37.5
floral 34
flower 31.5
design 28.1
vintage 27.8
art 27.5
leaf 27.2
retro 27
graphic 27
pattern 26
frame 25.9
texture 25.7
old 23
drawing 22.5
decoration 22.3
wallpaper 22.2
plant 21
aged 19.9
sketch 18.8
antique 18.4
silhouette 17.4
ornament 17.2
shower curtain 17.2
decorative 15.9
style 15.6
curtain 14.6
curl 14.3
element 14.1
stain 13.5
wineglass 12.8
ornate 12.8
decor 12.4
summer 12.2
blackboard 12.1
shape 11.9
container 11.9
spring 11.8
dirty 11.7
creative 11.5
holiday 11.5
scroll 11.4
curve 11.4
backgrounds 11.4
card 11.3
paper 11.1
border 10.9
material 10.7
representation 10.7
blind 10.6
structure 10.6
furnishing 10.5
artistic 10.4
ancient 10.4
swirl 10.1
color 10
paint 10
decay 9.6
brown 9.6
season 9.4
effect 9.1
backdrop 9.1
grime 8.8
mottled 8.8
textured 8.8
fracture 8.8
obsolete 8.6
canvas 8.5
space 8.5
modern 8.4
grain 8.3
banner 8.3
rough 8.2
natural 8
water 8
cool 8
painterly 7.9
smudged 7.9
flourishes 7.8
tree 7.8
party 7.7
edge 7.7
aging 7.7
grungy 7.6
textures 7.6
botanical 7.6
pink 7.5
tray 7.5
plants 7.4
clip art 7.4
cover 7.4
cup 7.4
foliage 7.4
wedding 7.4
painting 7.3
protective covering 7.2

Google
created on 2019-06-04

Class 90.8
Social group 90
Room 74.4
Classroom 70.7
Adaptation 67
History 60.4
Monochrome 60.1
Black-and-white 56.4
State school 53.2

Microsoft
created on 2019-06-04

person 98
clothing 97.7
furniture 95
table 94.6
woman 87.6
chair 87.1
family 85.5
human face 83
group 82.6
old 66.2
restaurant 16.9
dining table 16

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Angry 49.4%
Calm 48.4%
Sad 45.7%
Confused 45.8%
Disgusted 45.1%
Happy 45.1%
Surprised 45.5%

AWS Rekognition

Age 9-14
Gender Female, 54.6%
Happy 45.1%
Surprised 45.2%
Angry 45.1%
Sad 52.1%
Confused 45%
Disgusted 45.1%
Calm 47.4%

AWS Rekognition

Age 6-13
Gender Female, 54.9%
Sad 48.3%
Disgusted 45.3%
Surprised 45.8%
Happy 45.2%
Confused 46.1%
Angry 46.2%
Calm 48.2%

AWS Rekognition

Age 20-38
Gender Female, 54.4%
Sad 52.4%
Happy 45.2%
Surprised 45.3%
Disgusted 45.9%
Angry 45.8%
Calm 45.2%
Confused 45.2%

AWS Rekognition

Age 38-59
Gender Male, 52.9%
Calm 52.8%
Confused 45.1%
Happy 45.2%
Sad 46.6%
Surprised 45.1%
Disgusted 45.1%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Disgusted 45.3%
Angry 45.4%
Sad 52.4%
Surprised 45.1%
Happy 45.2%
Calm 46.4%
Confused 45.3%

AWS Rekognition

Age 35-52
Gender Female, 51.1%
Angry 45.4%
Happy 45.1%
Disgusted 45.4%
Confused 45.2%
Surprised 45.3%
Sad 46.4%
Calm 52.2%

AWS Rekognition

Age 4-9
Gender Female, 52.7%
Sad 46%
Disgusted 52.6%
Surprised 45.2%
Angry 45.7%
Happy 45.1%
Calm 45.2%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 52.9%
Sad 50.7%
Angry 45.8%
Calm 45.1%
Confused 45.3%
Happy 45.1%
Surprised 45.2%
Disgusted 47.8%

AWS Rekognition

Age 11-18
Gender Female, 52.6%
Confused 45.9%
Disgusted 45.4%
Sad 46.3%
Surprised 46.4%
Calm 50.2%
Happy 45.2%
Angry 45.6%

AWS Rekognition

Age 16-27
Gender Female, 53.3%
Sad 45.3%
Calm 45.4%
Disgusted 45.3%
Happy 45.8%
Confused 45.3%
Angry 45.2%
Surprised 52.7%

AWS Rekognition

Age 57-77
Gender Male, 50.5%
Sad 47.6%
Confused 45.2%
Calm 49.5%
Disgusted 46.5%
Happy 45.1%
Angry 45.8%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 51.5%
Angry 45.1%
Calm 46.4%
Sad 53%
Disgusted 45.2%
Happy 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 10-15
Gender Female, 50.6%
Angry 45.2%
Happy 46.5%
Disgusted 45.2%
Surprised 45.2%
Calm 45.3%
Confused 45.3%
Sad 52.3%

AWS Rekognition

Age 20-38
Gender Female, 54.5%
Happy 45.3%
Disgusted 45.6%
Confused 47.2%
Angry 46.1%
Surprised 45.4%
Sad 46.5%
Calm 48.9%

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 31
Gender Female

Microsoft Cognitive Services

Age 15
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 32
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

Google Vision

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

Feature analysis

Amazon

Chair 99.7%
Person 99.5%

Categories

Imagga

people portraits 97.6%
events parties 1.6%