Human Generated Data

Title

Defectives, Epileptics: United States. Massachusetts. Palmer. State Hospital for Epileptics: Choir, 1908

Date

1908

People

Artist: Woodhead Studio, American active 1900s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3420

Human Generated Data

Title

Defectives, Epileptics: United States. Massachusetts. Palmer. State Hospital for Epileptics: Choir, 1908

People

Artist: Woodhead Studio, American active 1900s

Date

1908

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.2
Person 99.2
Person 97.6
Person 93.1
Musical Instrument 92
Musician 92
Drum 85.8
Percussion 85.8
Person 76.6
Chair 71.2
Furniture 71.2
Floor 71.2
Leisure Activities 70.9
Flooring 66.2
Person 64.9
Person 63.7
Drummer 63.2
Table 61.3
Art 61.1
Wood 60.9
Clinic 58.6

Clarifai
created on 2019-06-05

furniture 99
people 99
room 98
group 96.5
adult 95.8
two 94
no person 93.8
wear 93.7
chair 93.7
painting 93.3
indoors 93.2
seat 92.6
print 91.6
home 91.2
man 90.9
table 90.4
one 88.9
illustration 88.6
art 87.7
military 84.9

Imagga
created on 2019-06-05

balcony 48.8
interior 41.6
house 34.2
window 30.1
architecture 29.8
structure 29.4
room 27.3
table 26.3
home 24.7
chair 23.1
furniture 23
building 21.8
wall 21
decor 20.3
indoors 19.3
design 18.6
wood 18.3
modern 17.5
sketch 16.9
inside 16.6
floor 15.8
light 15.4
residential 15.3
shop 15
indoor 14.6
luxury 14.6
living 13.3
drawing 13.2
wooden 13.2
urban 13.1
door 13
glass 12.4
comfortable 12.4
hall 12.3
residence 11.7
lamp 11.4
barbershop 11.3
style 11.1
construction 11.1
chairs 10.8
travel 10.6
apartment 10.5
old 10.4
3d 10.1
city 10
representation 9.9
mansion 9.8
metal 9.7
decoration 9.5
empty 9.4
elegant 9.4
carpet 8.7
estate 8.5
office 8.5
mercantile establishment 8.5
relax 8.4
elegance 8.4
exterior 8.3
seat 8.1
business 7.9
render 7.8
nobody 7.8
sofa 7.7
windows 7.7
hotel 7.6
relaxation 7.5
frame 7.5
tourism 7.4
shelf 7.3
new 7.3
history 7.2
day 7.1

Google
created on 2019-06-05

Photograph 95
Snapshot 82.5
Room 65.7
Antique 53

Microsoft
created on 2019-06-05

person 95.3
clothing 90.6
indoor 87.7
furniture 75.9
old 58.2

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Angry 50%
Confused 49.5%
Sad 50%

AWS Rekognition

Age 26-44
Gender Male, 50.1%
Happy 49.7%
Sad 49.6%
Disgusted 49.8%
Angry 49.6%
Surprised 49.5%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 49.8%
Surprised 49.5%
Disgusted 49.5%
Angry 49.8%
Happy 49.5%
Sad 49.8%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Happy 49.6%
Surprised 49.6%
Angry 49.7%
Calm 49.7%
Sad 49.7%
Disgusted 49.6%
Confused 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Sad 49.6%
Disgusted 50%
Happy 49.6%
Angry 49.5%
Surprised 49.5%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 35-55
Gender Female, 50.5%
Calm 49.6%
Surprised 49.5%
Disgusted 49.7%
Angry 49.6%
Happy 49.6%
Sad 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Surprised 49.5%
Confused 49.5%
Sad 49.9%
Disgusted 50%
Happy 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Sad 50.2%
Angry 49.6%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Sad 49.7%
Confused 49.6%
Angry 49.6%
Calm 49.7%
Surprised 49.6%
Happy 49.7%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Calm 49.5%
Confused 49.5%
Sad 50.4%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 27-44
Gender Male, 50.1%
Angry 49.8%
Sad 49.6%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.9%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Surprised 49.6%
Calm 49.8%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%
Calm 49.7%
Happy 49.5%
Angry 49.7%
Sad 49.8%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.2%