Human Generated Data

Title

Untitled (large group seated around banquet table in front of large Christmas tree )

Date

c. 1930-1940

People

Artist: Durette Studio, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4223

Human Generated Data

Title

Untitled (large group seated around banquet table in front of large Christmas tree )

People

Artist: Durette Studio, American 20th century

Date

c. 1930-1940

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4223

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Human 76.2
Person 76.2
Shop 66.5
Person 64.6
Indoors 64.2
Room 63
Lab 61
Text 60.3
Art 57
Crowd 56.4
Furniture 56.1
Table 56.1

Clarifai
created on 2019-06-01

room 97.5
indoors 97.4
furniture 96.4
chair 96.1
no person 95.8
inside 95.4
light 94.8
family 94.4
contemporary 93.9
empty 93.8
window 92.3
modern 91
seat 90.4
people 89.6
house 89.6
wall 87.7
apartment 85.8
decoration 85.3
design 85.1
lamp 84.8

Imagga
created on 2019-06-01

room 78.4
interior 77
furniture 61.4
home 57.4
house 51.9
decor 46.9
apartment 45.1
modern 44.2
lamp 42.9
table 42.4
floor 40
living 39.8
marble 39.5
sofa 37.4
comfortable 34.4
architecture 33.6
luxury 33.5
design 33.2
wood 31.7
window 31.4
inside 31.3
3d 31
indoors 30.8
light 29.4
wall 29.2
decoration 27.5
chair 26.7
sculpture 26.6
residential 25.9
vase 25.2
domestic 23.5
relax 22.8
contemporary 22.6
comfort 22.2
pillow 21.4
plastic art 20.6
style 20
relaxation 19.3
estate 18.1
indoor 17.4
rendering 17.2
glass 17.1
nobody 17.1
parquet 16.7
art 16.6
seat 15.8
rest 15.8
chairs 15.7
tile 15.7
lifestyle 15.2
residence 14.7
living room 14.7
kitchen 14.5
plant 14.2
ceiling 13.8
carpet 13.6
couch 13.5
elegance 13.4
lifestyles 13.3
bedroom 13.3
empty 12.9
clean 12.5
space 12.4
hall 12.2
water faucet 12.2
elegant 12
vessel 12
furnishings 11.8
curtain 11.8
armchair 11.8
lighting 11.6
dining 11.4
bed 11.4
render 11.3
drawing 11
corner 11
cabinet 10.9
reflection 10.9
minimalism 10.9
mansion 10.8
sleep 10.7
hotel 10.5
hanging 10.3
antique 10.3
bathtub 10.1
flower 10
stylish 10
rug 9.9
new 9.7
wooden 9.7
real 9.5
classic 9.3
sink 9.2
decorative 9.2
fashion 9.1
bathroom 9
panel 8.9
luxurious 8.8
antiquity 8.6
creation 8.4
area 8.3
leisure 8.3
tub 8.2
counter 8.1
door 7.8
illumination 7.7
windows 7.7
expensive 7.7
decorate 7.6
blind 7.5
horizontal 7.5
frame 7.3
fireplace 7.2
structure 7.1
day 7.1

Google
created on 2019-06-01

Microsoft
created on 2019-06-01

furniture 84.7
table 82.9
drawing 82.8
black and white 81.5
whiteboard 75.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 50%
Disgusted 49.5%
Sad 49.8%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.7%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Sad 49.7%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Angry 49.5%
Happy 49.5%
Calm 50.3%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Disgusted 46.9%
Angry 46.4%
Confused 45.5%
Sad 45.7%
Happy 46.9%
Calm 47.4%
Surprised 46.1%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.6%
Angry 49.6%
Sad 49.6%
Calm 49.9%
Disgusted 49.6%
Happy 49.6%
Surprised 49.7%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Confused 49.6%
Happy 49.6%
Calm 49.6%
Disgusted 49.6%
Sad 49.8%
Angry 49.5%
Surprised 49.7%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Confused 45.8%
Happy 46.4%
Surprised 45.7%
Angry 45.6%
Disgusted 45.5%
Calm 48.5%
Sad 47.5%

AWS Rekognition

Age 23-38
Gender Female, 52.7%
Happy 45.3%
Calm 53.7%
Angry 45.1%
Surprised 45.2%
Disgusted 45.1%
Confused 45.1%
Sad 45.4%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.6%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.8%
Calm 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Calm 50%
Surprised 49.6%
Sad 49.6%
Confused 49.6%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Angry 49.5%
Sad 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.9%
Calm 50%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Confused 49.6%
Calm 50%
Sad 49.7%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.9%
Happy 49.7%
Sad 49.5%
Calm 49.6%
Angry 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Sad 49.5%
Confused 49.5%
Disgusted 50.3%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.1%
Calm 49.8%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.6%
Angry 49.5%
Confused 49.5%
Calm 50.2%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Confused 49.7%
Surprised 49.6%
Happy 49.9%
Angry 49.5%
Sad 49.8%
Disgusted 49.6%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.4%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Person 76.2%

Categories

Imagga

interior objects 99.9%

Text analysis

Amazon

CA