Human Generated Data

Title

Education, Industrial: Italy. Burano. Lace-making School: Industrial Education. Italy: Burano Lace-making School.

Date

c. 1900

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, 3.2002.1454

Human Generated Data

Title

Education, Industrial: Italy. Burano. Lace-making School: Industrial Education. Italy: Burano Lace-making School.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1454

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 98.1
Human 98.1
Person 97.9
Person 93.6
Furniture 93.2
Clinic 93.2
Person 92.9
Person 92.6
Person 89.2
Indoors 87
Room 87
Person 85.2
Person 79.3
Person 77.1
Person 73.8
Person 73.7
Person 72.3
Crowd 69.5
Reception Room 67.3
Reception 67.3
Waiting Room 67.3
Chair 65.4
Person 61.8
Art 61.1
Painting 61.1
Person 60.7
Table 60.3
Linen 59.7
Home Decor 59.7
Audience 59.5
Workshop 59.4
School 58.9
Classroom 58.9
People 56
Hospital 55.2
Person 53.5
Person 46.6

Clarifai
created on 2019-06-05

people 97.9
group 97.1
many 96
indoors 95.3
furniture 94.7
no person 94.3
room 93.3
man 91.4
interior design 89.5
woman 87.8
adult 86.4
seat 85.2
group together 83.4
leader 82.1
chair 80.4
military 79.6
exhibition 79.2
business 77.3
administration 76.1
crowd 76.1

Imagga
created on 2019-06-05

room 69.5
interior 67.2
furniture 49.5
table 45.8
home 40.1
house 38.4
decor 35.4
chair 33.5
luxury 31.7
lamp 30.9
comfortable 29.6
window 29.5
sofa 28.9
modern 28.7
bedroom 28.4
living 28.4
hotel 25.8
design 25.3
wood 24.2
floor 24.2
apartment 23
style 22.2
pillow 22.1
decoration 21.9
architecture 20.5
indoors 20.2
residential 20.1
bed 19.9
light 18.7
chairs 18.6
carpet 16.5
couch 16.4
comfort 16.4
indoor 15.5
elegant 15.4
wall 15.4
stucco 15
rug 14.8
inside 14.7
seat 14.7
fireplace 14.6
restaurant 14.3
relax 14.3
elegance 14.3
relaxation 14.2
hall 13.9
empty 13.7
chandelier 12.5
space 12.4
rest 12.4
decorate 12.4
estate 12.3
panel 12.2
classic 12.1
motel 11.8
suite 11.8
vase 11.8
armchair 11.3
domestic 10.9
dining 10.5
dinner 10.3
clean 10
residence 10
furnishings 9.8
mansion 9.8
living room 9.8
luxurious 9.7
sleep 9.7
real 9.5
contemporary 9.4
antique 9.3
sculpture 9.2
cushion 9.2
stylish 9
lodging 8.9
tables 8.9
glass 8.8
wooden 8.8
lighting 8.7
expensive 8.6
nobody 8.5
travel 8.4
lifestyle 7.9
curtain 7.9
quilt 7.9
lunch 7.9
marble 7.9
accommodation 7.9
cozy 7.9
walls 7.8
eat 7.5
warm 7.4
new 7.3
family 7.1
night 7.1
structure 7.1

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

indoor 98.6
wall 97.7
person 75.8
old 73.7
wedding dress 72.7
group 67.2
woman 54.9
clothes 43.4
posing 43.1
dressed 41.6
clothing 27.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 53.9%
Disgusted 45%
Happy 45%
Surprised 45.2%
Calm 54%
Angry 45.2%
Confused 45.2%
Sad 45.4%

AWS Rekognition

Age 45-65
Gender Male, 54.4%
Angry 45.2%
Sad 45.1%
Surprised 45%
Happy 45%
Calm 45.1%
Disgusted 54.5%
Confused 45%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.6%
Disgusted 49.6%
Angry 49.5%
Confused 49.5%
Calm 50%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.5%
Sad 49.6%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Happy 50.1%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.8%
Sad 49.6%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Surprised 49.6%
Confused 49.7%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Calm 49.7%
Happy 49.6%
Angry 49.7%
Disgusted 49.6%
Surprised 49.6%
Confused 49.6%
Sad 49.9%

AWS Rekognition

Age 29-45
Gender Female, 50.5%
Calm 50.3%
Confused 49.5%
Sad 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Angry 49.7%
Surprised 49.6%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Confused 49.6%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.6%
Disgusted 49.5%
Sad 49.7%
Calm 49.7%
Happy 49.5%
Confused 49.7%
Angry 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Confused 49.7%
Surprised 49.6%
Sad 49.6%
Calm 49.9%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.7%
Sad 49.5%
Disgusted 49.6%
Angry 49.5%
Surprised 49.6%
Calm 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.6%
Surprised 49.6%
Sad 49.6%
Disgusted 49.6%
Confused 49.6%
Happy 49.7%
Calm 49.9%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Angry 49.7%
Disgusted 49.5%
Sad 49.7%
Happy 49.7%
Confused 49.7%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.7%
Calm 50.1%
Angry 49.5%
Surprised 49.6%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Calm 49.9%
Sad 49.6%
Surprised 49.6%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.7%

Feature analysis

Amazon

Person 98.1%
Painting 61.1%

Categories

Imagga

interior objects 99.4%