Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Brush Making.
Date

c. 1903
People

Artist: William A. Webster, American active mid-19th-early 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.313.3

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Brush Making.

People

Artist: William A. Webster, American active mid-19th-early 20th century

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.5
Human 99.5
Person 99.3
Person 99.1
Person 97.8
Person 97.4
Restaurant 97.4
Person 96.1
Person 95.6
Person 95.2
Person 92.6
Person 90.7
Cafeteria 90.4
Person 84.9
Building 80
Pub 79.4
Apparel 70.6
Clothing 70.6
Meal 70.2
Food 70.2
Shelf 65.9
Cafe 64.3
Person 61.8
Person 61
Bar Counter 60.7
Person 60.5
Worker 59.6
Factory 56.6

Clarifai
created on 2019-06-05

people 99.9
many 98.8
group together 98.6
group 98.5
furniture 98.5
adult 98.4
administration 97.8
room 96.9
man 96
woman 90.2
leader 88.5
education 87.9
desk 87.2
military 86.9
home 86.8
several 86.3
war 85.5
chair 85.3
wear 83.2
child 82.6

Imagga
created on 2019-06-05

shop 51.6
mercantile establishment 36.6
place of business 24.2
bakery 20.3
interior 20.3
architecture 19.5
old 19.5
building 18.1
house 17.5
table 17.3
room 17.1
chair 14.9
ancient 14.7
butcher shop 14.5
restaurant 14.3
city 14.1
history 13.4
sculpture 13.4
counter 13.2
home 12.8
people 12.3
barbershop 12.2
man 12.1
establishment 12
historic 11.9
window 11.8
wood 11.7
life 11.3
travel 11.3
art 10.7
indoors 10.5
wall 10.3
tourism 9.9
religion 9.9
wooden 9.7
urban 9.6
statue 9.5
sitting 9.4
monument 9.3
vintage 9.3
food 9.3
kitchen 8.9
decor 8.8
light 8.7
dining 8.6
glass 8.6
culture 8.5
dinner 8.5
stone 8.4
shoe shop 8.4
inside 8.3
structure 8.3
landmark 8.1
furniture 8
decoration 8
classroom 7.8
modern 7.7
customer 7.6
temple 7.6
store 7.6
famous 7.4
floor 7.4
tradition 7.4
retro 7.4
design 7.3
indoor 7.3
marble 7.2
antique 7.2
holiday 7.2
person 7.2
family 7.1
love 7.1

Google
created on 2019-06-05

Building 69.2
Room 65.7
Black-and-white 56.4
History 54.1
Factory 52.3

Microsoft
created on 2019-06-05

table 98.8
person 96.6
clothing 94.1
kitchen 92.3
furniture 89.5
man 74.4
counter 58.5
preparing 51.5
cooking 47.3

Face analysis

Amazon

Google

AWS Rekognition

Age 29-45
Gender Male, 54.8%
Sad 52.4%
Disgusted 45.2%
Surprised 45.3%
Happy 45.2%
Confused 45.9%
Angry 45.5%
Calm 45.6%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Sad 46%
Disgusted 45.1%
Surprised 45.1%
Angry 45.2%
Happy 45.1%
Calm 53.4%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 53.1%
Disgusted 45.3%
Angry 45.2%
Sad 54%
Surprised 45.1%
Happy 45.1%
Calm 45.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 52%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Calm 46.3%
Happy 45.1%
Angry 45.3%
Sad 53%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 48.5%
Happy 45.6%
Surprised 45.5%
Disgusted 45.5%
Angry 48.3%
Calm 46.2%
Confused 45.5%

AWS Rekognition

Age 35-52
Gender Male, 51.6%
Angry 45.8%
Disgusted 45.2%
Sad 53.7%
Confused 45.2%
Happy 45%
Surprised 45.1%
Calm 45%

AWS Rekognition

Age 16-27
Gender Male, 51.5%
Angry 49.8%
Surprised 45.4%
Disgusted 45.8%
Happy 45%
Calm 45.6%
Sad 47.6%
Confused 45.7%

AWS Rekognition

Age 11-18
Gender Male, 50.2%
Surprised 45.5%
Sad 45.5%
Happy 45.6%
Disgusted 46.2%
Confused 45.7%
Calm 50.3%
Angry 46.1%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 45.3%
Calm 52%
Sad 46.6%
Confused 45.3%
Disgusted 45.3%
Happy 45.3%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 45.1%
Calm 45.1%
Surprised 45.1%
Sad 54.4%
Confused 45.1%
Angry 45.2%
Happy 45.1%

AWS Rekognition

Age 27-44
Gender Female, 54.5%
Sad 47.6%
Calm 48.8%
Disgusted 46.2%
Happy 45.4%
Confused 45.5%
Angry 45.9%
Surprised 45.6%

AWS Rekognition

Age 57-77
Gender Male, 53.6%
Angry 45.5%
Surprised 45.1%
Disgusted 49.1%
Happy 45.2%
Calm 45.1%
Sad 49.8%
Confused 45.2%

Google Vision

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

Feature analysis

Amazon

Person 99.5%

Captions

Microsoft

a group of people standing in a kitchen 93.2%
a group of people standing in a kitchen preparing food 90.3%
a group of people standing around a counter in a kitchen 90.2%

Text analysis

Google

TANWNERAS
TANWNERAS