Human Generated Data

Title

Marquetry Commode

Date

c. 1700-1725

People
Classification

Furniture

Credit Line

Harvard Art Museums/Fogg Museum, Bequest of Nettie G. Naumburg, 1930.227

Human Generated Data

Title

Marquetry Commode

People
Date

c. 1700-1725

Classification

Furniture

Machine Generated Data

Tags

Amazon
created on 2022-06-11

Furniture 100
Sideboard 99.9
Dresser 98.8
Cabinet 98.8
Indoors 96
Fireplace 96
Drawer 67.3
Tabletop 57.8

Imagga
created on 2022-06-11

furniture 100
chiffonier 100
chest of drawers 100
furnishing 81
wood 37.5
old 35.5
antique 33.3
box 30.8
home 26.3
brown 25.7
decoration 25.3
chest 24.8
interior 24.7
wooden 23.7
design 23.6
buffet 21.7
decor 19.4
gold 18.9
house 18.4
vintage 17.3
style 16.3
luxury 16.3
ancient 15.5
container 15.1
retro 14.7
object 13.9
modern 12.6
treasure 12.5
closed 12.5
storage 12.4
room 11.8
decorative 11.7
frame 11.6
traditional 11.6
case 11.6
indoors 11.4
metal 11.2
art 11
aged 10.8
old fashioned 10.5
texture 10.4
close 10.3
elegance 10.1
3d 10.1
pattern 9.6
chair 9.5
golden 9.4
wall 9.4
rich 9.3
square 9
detail 8.8
render 8.6
lock 8.6
comfortable 8.6
empty 8.6
door 8.5
color 8.3
ornate 8.2
open 8.1
pillow 7.8
bedroom 7.7
apartment 7.7
grunge 7.7
living 7.6
relax 7.6
relaxation 7.5
inside 7.4
security 7.3
domestic 7.2
wealth 7.2
building 7.1
travel 7

Google
created on 2022-06-11

Cabinetry 95.2
Chest of drawers 91
Drawer 85.1
Rectangle 82.2
Wood 81.7
Cupboard 81
Table 78.1
Wood stain 78
Hardwood 74.8
Font 73.2
Art 72.9
Sideboard 72.2
Varnish 70.9
Metal 70.6
Chiffonier 70.1
Creative arts 70
Nightstand 69.9
Chest 67.6
Pattern 66.9
Dresser 65.1

Microsoft
created on 2022-06-11

indoor 99.5
furniture 99.1
wall 96.8
floor 96.1
drawer 94.9
cabinetry 84
chest of drawers 83.2
cupboard 76.6
filing cabinet 64.3
nightstand 59.7
dresser 51.3

Face analysis

Amazon

AWS Rekognition

Age 18-26
Gender Female, 80.8%
Angry 62.6%
Calm 13.9%
Sad 11.8%
Fear 6.5%
Surprised 6.5%
Disgusted 6.1%
Confused 1.9%
Happy 0.5%

AWS Rekognition

Age 16-24
Gender Male, 78.2%
Fear 52.9%
Disgusted 19%
Surprised 13.2%
Calm 10.9%
Angry 10.4%
Sad 3%
Confused 2.9%
Happy 1.8%

AWS Rekognition

Age 20-28
Gender Male, 52.1%
Calm 59.2%
Sad 16%
Confused 11.1%
Surprised 7.1%
Fear 6.5%
Angry 6.4%
Disgusted 3.3%
Happy 1.9%

AWS Rekognition

Age 2-8
Gender Male, 88%
Fear 54.6%
Calm 43%
Surprised 7.4%
Sad 3.9%
Angry 3.3%
Confused 1.3%
Disgusted 1.1%
Happy 0.9%

AWS Rekognition

Age 18-24
Gender Female, 96.9%
Fear 68.5%
Confused 17.4%
Surprised 13.1%
Sad 6.5%
Happy 5.1%
Disgusted 3.4%
Calm 2.5%
Angry 1.3%

AWS Rekognition

Age 20-28
Gender Male, 97.9%
Calm 43.9%
Sad 35.3%
Disgusted 25.1%
Fear 6.8%
Surprised 6.5%
Confused 2.8%
Angry 2.7%
Happy 0.3%

AWS Rekognition

Age 18-26
Gender Male, 60.1%
Calm 72%
Sad 32.6%
Surprised 6.5%
Fear 6%
Angry 2.8%
Happy 1.5%
Confused 0.9%
Disgusted 0.4%

AWS Rekognition

Age 6-16
Gender Female, 93.7%
Sad 99.7%
Calm 15.4%
Surprised 8.6%
Fear 7.7%
Confused 2.8%
Angry 2.3%
Disgusted 2.2%
Happy 2%

Feature analysis

Amazon

Fireplace 96%

Captions

Microsoft

a wooden cabinet 65.2%

Text analysis

Google

TANKA