Human Generated Data

Title

Social Settlements: Great Britain, England. London. "Toynbee Hall": Toynbee Hall: Mens Classes. Book-keeping.
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, 3.2002.3578.5

Human Generated Data

Title

Social Settlements: Great Britain, England. London. "Toynbee Hall": Toynbee Hall: Mens Classes. Book-keeping.

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, 3.2002.3578.5

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Classroom 99.9
Indoors 99.9
Room 99.9
School 99.9
Human 97.2
Person 97.2
Person 94.1
Person 91.8
Person 91.1
Person 87.9
Person 79.9
Person 75.6
Furniture 74.5
Person 71.7
Person 69.5
Person 58.1
Person 46.9

Clarifai
created on 2019-06-05

people 100
many 99.8
group 99.6
group together 99.6
administration 98.8
military 97.9
chair 96
furniture 95.7
leader 95.6
adult 95.6
war 95.5
school 93.2
several 92.9
education 92.1
room 91.9
man 89.1
offense 85.8
uniform 84.7
soldier 82.7
home 81.9

Imagga
created on 2019-06-05

room 80.6
classroom 74.3
chair 37.9
restaurant 35.2
cafeteria 34.4
building 34.2
interior 32.7
furniture 29.4
table 26
modern 23.1
structure 21.7
seat 20.2
architecture 19.5
floor 19.5
empty 18
indoors 17.6
house 17.5
inside 17.5
wood 15.8
window 15.6
travel 15.5
urban 14.9
light 14.7
city 13.3
decor 13.3
wall 12.8
tables 12.8
home 12.8
glass 12.4
design 12.4
dinner 11.8
chairs 11.8
business 11.5
hotel 11.5
hall 11.2
decoration 11.2
luxury 11.1
office 10.4
barbershop 10.4
relax 10.1
space 10.1
people 10
shop 9.9
style 9.6
residential 9.6
comfortable 9.6
scene 9.5
work 9.4
nobody 9.3
place 9.3
salon 9.3
tourism 9.1
vacation 9
station 8.7
lamp 8.6
dining 8.6
estate 8.5
living 8.5
relaxation 8.4
street 8.3
reflection 8.1
warehouse 7.8
life 7.8
lunch 7.7
construction 7.7
plant 7.5
bar 7.4
center 7.3
new 7.3
lifestyle 7.2
transportation 7.2

Google
created on 2019-06-05

Classroom 92.7
Room 91.1
Building 71
Class 70.6
Table 69.7
Furniture 59.4
State school 57.5

Microsoft
created on 2019-06-05

floor 95.7
indoor 95.3
furniture 89
table 88.1
chair 76.5
group 61.2
building 60.3
old 53.8
several 15.8
dining room 6.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Disgusted 45.3%
Confused 48%
Surprised 45.4%
Calm 47.7%
Happy 45.3%
Angry 45.6%
Sad 47.8%

AWS Rekognition

Age 26-43
Gender Male, 52.1%
Surprised 45.6%
Happy 45.9%
Calm 45.3%
Sad 45.4%
Disgusted 45.9%
Confused 45.3%
Angry 51.6%

AWS Rekognition

Age 35-55
Gender Male, 50.1%
Calm 49.6%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.6%
Sad 50.3%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Surprised 49.5%
Disgusted 49.6%
Calm 49.7%
Sad 49.8%
Confused 49.5%
Angry 49.8%
Happy 49.6%

AWS Rekognition

Age 30-47
Gender Male, 54.6%
Confused 46.1%
Sad 45.8%
Calm 46.1%
Happy 49.5%
Angry 45.8%
Surprised 45.7%
Disgusted 46.1%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Calm 49.2%
Angry 45.4%
Surprised 45.3%
Confused 45.6%
Sad 47.8%
Happy 46.3%
Disgusted 45.3%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Surprised 49.5%
Sad 50.2%
Calm 49.5%
Happy 49.6%
Confused 49.5%
Angry 49.5%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 49.8%
Surprised 49.5%
Angry 50%
Calm 49.6%
Happy 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Confused 49.5%
Sad 49.5%
Calm 49.6%
Happy 49.5%
Angry 49.5%
Surprised 49.6%
Disgusted 50.2%

AWS Rekognition

Age 12-22
Gender Female, 51.6%
Calm 47.3%
Confused 45.5%
Disgusted 46.1%
Angry 46.3%
Happy 45.3%
Surprised 45.6%
Sad 48.8%

AWS Rekognition

Age 57-77
Gender Female, 50.2%
Calm 49.7%
Confused 49.6%
Happy 49.5%
Angry 49.6%
Sad 50%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Calm 47.1%
Surprised 45.1%
Disgusted 45.1%
Confused 45.3%
Happy 45.1%
Angry 45.6%
Sad 51.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 49.7%
Happy 49.6%
Confused 49.6%
Disgusted 49.6%
Calm 49.9%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 49.8%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Sad 49.9%
Happy 49.5%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Calm 49.5%
Sad 49.8%
Confused 49.5%
Angry 50%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 54.5%
Surprised 45.2%
Sad 47.6%
Angry 45.5%
Disgusted 45.7%
Calm 49.7%
Happy 45.8%
Confused 45.5%

AWS Rekognition

Age 35-53
Gender Male, 50.2%
Sad 49.7%
Calm 49.6%
Angry 49.7%
Disgusted 49.6%
Surprised 49.6%
Confused 49.5%
Happy 49.7%

AWS Rekognition

Age 9-14
Gender Male, 50%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 49.6%
Surprised 49.5%
Happy 49.5%
Calm 50.2%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 50%
Happy 49.8%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Surprised 49.6%
Happy 49.6%
Sad 49.6%
Calm 50%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Calm 49.7%
Sad 49.9%
Surprised 49.5%
Happy 49.7%
Disgusted 49.6%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 49.5%
Surprised 49.6%
Happy 49.9%
Angry 49.6%
Confused 49.6%
Disgusted 49.7%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.7%
Angry 49.6%
Confused 49.6%
Sad 49.8%

AWS Rekognition

Age 30-47
Gender Male, 50.2%
Angry 49.6%
Calm 49.6%
Confused 49.6%
Sad 50.1%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person 97.2%