Human Generated Data

Title

Industrial Problems, Welfare Work: Great Britain. England. Bourneville: Cadbury Bros.: Welfare Institutions and Improved Housing: Bournville Works and Village, Bournville, England: Cocoa and Chocolate Works of Cadbury Brothers, Ltd. The Bournville Village Trust: Girls' Dining Room.
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, 3.2002.2202.1

Human Generated Data

Title

Industrial Problems, Welfare Work: Great Britain. England. Bourneville: Cadbury Bros.: Welfare Institutions and Improved Housing: Bournville Works and Village, Bournville, England: Cocoa and Chocolate Works of Cadbury Brothers, Ltd. The Bournville Village Trust: Girls' Dining Room.

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, 3.2002.2202.1

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 99
Person 99
Person 98.8
Person 97.7
Person 96.9
Person 96.2
Person 93.6
Person 92.8
Person 92.8
Building 90.4
Person 87.9
Person 87.8
Crowd 83.7
Person 83.4
Person 81.2
Apparel 76.1
Clothing 76.1
People 72.4
Coat 59.5
Military 58.4
Factory 56.4
Military Uniform 56.4
Person 55.5

Clarifai
created on 2019-06-06

people 99.8
many 96.5
group together 96.1
group 96
adult 95.4
indoors 94.9
man 94.7
room 94.4
chair 90.5
crowd 90.3
furniture 89.3
woman 88
sit 79.6
inside 79.4
wear 76.1
music 73.1
education 71.8
military 71.6
audience 71.3
war 69.7

Imagga
created on 2019-06-06

carousel 54.5
ride 43
mechanical device 32.1
building 28.5
architecture 27.5
hall 26.2
city 24.9
mechanism 21.3
stall 21
travel 19.7
restaurant 17.3
table 16.5
night 16
interior 15.9
old 15.3
structure 14.4
sky 13.4
religion 12.5
tourism 12.4
urban 12.2
center 12.1
room 11.8
chair 11.6
wooden 11.4
house 11
device 10.9
shop 10.8
wagon 10.6
light 10
roof 9.7
hotel 9.5
stone 9.3
wall 9.1
vacation 9
transportation 9
palace 8.9
construction 8.5
winter 8.5
china 8.5
dinner 8.4
destination 8.4
lights 8.3
wood 8.3
wheeled vehicle 8.2
snow 8.2
tourist 8.2
water 8
scene 7.8
modern 7.7
culture 7.7
bridge 7.6
eat 7.5
row 7.4
style 7.4
town 7.4
inside 7.4
transport 7.3
business 7.3
people 7.2
celebration 7.2
summer 7.1
glass 7

Google
created on 2019-06-06

Photograph 96.7
Snapshot 84.3
Room 71.4
Event 67
Stock photography 59.4
Crowd 57.8

Microsoft
created on 2019-06-06

building 99.3
indoor 91
person 90.5
clothing 89.2
table 86.7
wedding dress 78.3
furniture 76.9
people 62.1
woman 56.5
chair 55.2
man 52.5
dress 52.3
clothes 15.2
several 10.7

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 15-25
Gender Male, 53.2%
Calm 51.8%
Confused 45.2%
Happy 45.2%
Disgusted 45.1%
Sad 47.4%
Angry 45.3%
Surprised 45.2%

AWS Rekognition

Age 11-18
Gender Female, 54.9%
Disgusted 45%
Confused 46.1%
Happy 45%
Sad 51.3%
Surprised 47.1%
Calm 45.1%
Angry 45.3%

AWS Rekognition

Age 10-15
Gender Female, 51.9%
Happy 45.2%
Sad 49.7%
Confused 45.2%
Calm 49.4%
Angry 45.4%
Disgusted 45.1%
Surprised 45.2%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Surprised 45.4%
Happy 45.1%
Calm 45.7%
Disgusted 45%
Confused 45.2%
Sad 53.4%
Angry 45.2%

AWS Rekognition

Age 14-23
Gender Female, 51.7%
Sad 49.5%
Angry 46.2%
Confused 45.1%
Happy 45.5%
Disgusted 45.1%
Surprised 45.2%
Calm 48.3%

AWS Rekognition

Age 17-27
Gender Female, 50.7%
Disgusted 45.7%
Happy 45.1%
Angry 45.2%
Surprised 45.7%
Sad 45.2%
Confused 45.2%
Calm 53%

AWS Rekognition

Age 14-23
Gender Female, 54.7%
Angry 45.3%
Happy 45.2%
Confused 45.1%
Surprised 45.6%
Sad 45.8%
Disgusted 45.1%
Calm 52.9%

AWS Rekognition

Age 23-38
Gender Female, 50.8%
Angry 49.3%
Happy 45.7%
Confused 45.3%
Surprised 45.7%
Sad 46.7%
Disgusted 45.4%
Calm 46.9%

AWS Rekognition

Age 20-38
Gender Female, 54.7%
Disgusted 45.4%
Confused 45.3%
Happy 45.8%
Sad 49.8%
Surprised 45.3%
Calm 45.5%
Angry 47.9%

AWS Rekognition

Age 20-38
Gender Female, 53.1%
Angry 45.2%
Sad 54.6%
Calm 45.1%
Disgusted 45.1%
Happy 45%
Surprised 45.1%
Confused 45%

AWS Rekognition

Age 20-38
Gender Female, 54.9%
Angry 47.5%
Happy 45.1%
Calm 45.7%
Confused 45.1%
Sad 51.5%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Angry 49.6%
Calm 50.3%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Angry 49.7%
Disgusted 49.5%
Surprised 49.5%
Calm 49.6%
Sad 50.2%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Calm 45.3%
Disgusted 45.2%
Surprised 45.2%
Angry 45.3%
Sad 48.3%
Confused 45.1%
Happy 50.7%

AWS Rekognition

Age 16-27
Gender Female, 54.7%
Surprised 45%
Happy 45.1%
Confused 45.1%
Calm 45.4%
Disgusted 45%
Angry 45.1%
Sad 54.2%

AWS Rekognition

Age 11-18
Gender Male, 52.5%
Surprised 45.2%
Calm 46.5%
Happy 45.1%
Angry 45.6%
Sad 52.1%
Disgusted 45.3%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Happy 49.6%
Confused 49.5%
Disgusted 49.6%
Sad 50.1%

AWS Rekognition

Age 9-14
Gender Female, 53.4%
Calm 47.1%
Happy 45.2%
Sad 45.9%
Angry 51%
Confused 45.4%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Female, 54.5%
Confused 45.1%
Disgusted 45%
Sad 54.8%
Angry 45.1%
Surprised 45%
Happy 45%
Calm 45%

AWS Rekognition

Age 20-38
Gender Female, 52.9%
Angry 45.5%
Disgusted 45.1%
Surprised 45.5%
Calm 45.9%
Sad 52.4%
Happy 45.4%
Confused 45.2%

AWS Rekognition

Age 12-22
Gender Female, 54.9%
Calm 45%
Confused 45%
Happy 45%
Surprised 45%
Angry 45%
Disgusted 45%
Sad 54.9%

AWS Rekognition

Age 26-43
Gender Female, 53.3%
Confused 45.1%
Disgusted 45%
Angry 45.1%
Calm 45.3%
Sad 54.2%
Happy 45.2%
Surprised 45.1%

AWS Rekognition

Age 14-23
Gender Female, 50.2%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.4%
Disgusted 49.5%

AWS Rekognition

Age 10-15
Gender Female, 54.5%
Sad 47.8%
Confused 45.6%
Calm 45.6%
Disgusted 47.1%
Angry 46.5%
Surprised 46.4%
Happy 46%

AWS Rekognition

Age 26-44
Gender Female, 50.2%
Confused 49.5%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Sad 50.2%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.9%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50%
Sad 49.9%
Angry 49.7%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Female, 52.8%
Confused 45.4%
Disgusted 45.9%
Sad 50.3%
Angry 47.3%
Surprised 45.6%
Happy 45.4%
Calm 45.1%

AWS Rekognition

Age 14-23
Gender Female, 53.3%
Confused 45.1%
Angry 45.1%
Disgusted 45%
Calm 46.5%
Happy 45.4%
Surprised 45.1%
Sad 52.8%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.5%
Calm 49.5%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Sad 50.4%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 10-15
Gender Female, 54.5%
Calm 45.6%
Disgusted 45.5%
Angry 45.5%
Happy 46.4%
Sad 51.3%
Surprised 45.4%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 50.3%
Happy 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Disgusted 49.7%
Confused 49.6%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 49.6%
Sad 50%

AWS Rekognition

Age 10-15
Gender Female, 54.8%
Confused 45.1%
Disgusted 45.1%
Surprised 45%
Sad 54%
Angry 45.3%
Happy 45%
Calm 45.5%

AWS Rekognition

Age 4-7
Gender Female, 50%
Calm 49.7%
Sad 50.1%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 50.1%
Happy 49.6%
Sad 49.6%
Angry 49.5%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Sad 50.3%
Disgusted 49.5%
Calm 49.6%
Happy 49.6%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.3%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.7%
Sad 50%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 4-9
Gender Female, 54.9%
Calm 46%
Angry 45.3%
Happy 47.1%
Sad 50.6%
Surprised 45.3%
Confused 45.3%
Disgusted 45.3%

AWS Rekognition

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

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Sad 50.1%
Happy 49.6%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Calm 49.7%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.7%
Confused 49.5%
Calm 49.5%
Disgusted 50%
Angry 49.6%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 52.9%
Surprised 45.2%
Disgusted 45.2%
Sad 53.1%
Calm 45.8%
Confused 45.1%
Angry 45.5%
Happy 45.1%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Calm 49.6%
Happy 49.6%
Confused 49.6%
Sad 49.9%
Angry 49.6%
Surprised 49.5%
Disgusted 49.7%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Angry 49.6%
Calm 50.2%
Surprised 49.6%
Sad 49.5%
Disgusted 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.1%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.5%

AWS Rekognition

Age 57-77
Gender Female, 52.8%
Surprised 45.5%
Happy 46.9%
Confused 45.5%
Calm 45.4%
Disgusted 45.7%
Angry 45.8%
Sad 50.2%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Sad 50.1%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50%
Confused 49.5%
Angry 50.1%
Disgusted 49.7%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 49.6%
Sad 50.2%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.2%
Disgusted 49.5%
Surprised 49.5%
Sad 50.3%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 49.7%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

Age 9-14
Gender Female, 50.4%
Confused 49.5%
Sad 49.6%
Disgusted 49.6%
Angry 49.6%
Happy 49.6%
Calm 50.1%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Sad 50%
Angry 49.6%
Disgusted 49.7%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Angry 49.6%
Happy 49.5%
Calm 49.6%
Confused 49.5%
Sad 50.2%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Angry 49.5%
Sad 49.8%
Calm 50%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Angry 49.5%
Confused 49.5%
Calm 50.2%
Surprised 49.5%
Sad 49.6%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 11-18
Gender Female, 54.4%
Sad 45.9%
Angry 45.8%
Happy 45.6%
Disgusted 47.1%
Calm 46.7%
Surprised 48.5%
Confused 45.4%

AWS Rekognition

Age 4-9
Gender Female, 50.5%
Calm 49.5%
Angry 49.6%
Happy 49.6%
Sad 50.3%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Calm 49.6%
Confused 49.5%
Happy 49.7%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Sad 49.9%

AWS Rekognition

Age 14-23
Gender Male, 50.4%
Angry 49.5%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Sad 49.5%
Disgusted 50.2%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Angry 49.6%
Calm 49.7%
Surprised 49.6%
Sad 50%
Disgusted 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 53.2%
Surprised 45.6%
Happy 48.3%
Confused 45.4%
Calm 45.3%
Disgusted 45.3%
Sad 49.5%
Angry 45.6%

AWS Rekognition

Age 14-23
Gender Male, 50.5%
Sad 50.1%
Angry 49.7%
Calm 49.6%
Confused 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Happy 49.7%
Disgusted 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%
Angry 49.8%
Calm 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Angry 49.6%
Sad 50.2%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Calm 49.6%
Happy 49.6%
Confused 49.5%
Sad 49.7%
Angry 49.6%
Surprised 49.5%
Disgusted 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Calm 49.7%
Disgusted 49.7%
Surprised 49.6%
Sad 49.8%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 10-15
Gender Male, 50.1%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Confused 49.6%
Disgusted 49.5%
Sad 50.2%

AWS Rekognition

Age 19-36
Gender Male, 50.3%
Calm 49.9%
Confused 49.6%
Happy 49.5%
Disgusted 49.5%
Sad 49.8%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Sad 50%
Angry 49.5%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Calm 49.9%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 53.6%
Disgusted 45.6%
Happy 46%
Angry 47%
Surprised 45.6%
Sad 49.3%
Confused 45.9%
Calm 45.5%

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Angry 49.6%
Disgusted 49.6%
Calm 49.5%
Surprised 49.5%
Happy 49.6%
Sad 50.2%
Confused 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.3%
Calm 49.6%
Confused 49.5%
Happy 49.8%
Disgusted 49.8%
Angry 49.6%
Surprised 49.6%
Sad 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.3%
Angry 49.7%
Surprised 49.5%
Disgusted 49.7%
Calm 49.6%
Sad 49.9%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Surprised 49.5%
Disgusted 50%
Angry 49.5%
Sad 49.8%
Happy 49.5%
Confused 49.5%
Calm 49.7%

Microsoft Cognitive Services

Age 11
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

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%

Categories

Imagga

paintings art 67.1%
pets animals 28.2%
nature landscape 1.5%
streetview architecture 1.2%

Text analysis

Amazon

GIRLS
DINING
GIRLS DINING RooM.
RooM.

Google

GIRLS DINING ROOM
GIRLS
DINING
ROOM