Human Generated Data

Title

Sketchbook, (W342.1-24)

Date

20th century

People

Artist: Christopher Wilmarth, American 1943 - 1987

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, The Christopher Wilmarth Archive, Gift of Susan Wilmarth-Rabineau, CW2001.790.1-13

Copyright

© Estate of Christopher Wilmarth

Human Generated Data

Title

Sketchbook, (W342.1-24)

People

Artist: Christopher Wilmarth, American 1943 - 1987

Date

20th century

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, The Christopher Wilmarth Archive, Gift of Susan Wilmarth-Rabineau, CW2001.790.1-13

Copyright

© Estate of Christopher Wilmarth

Machine Generated Data

Tags

Amazon
created on 2020-04-26

Rug 99.6

Clarifai
created on 2020-04-26

retro 99.1
desktop 98.7
texture 98.1
vintage 97.8
paper 97.4
old 97.2
dirty 96.7
abstract 96.4
art 95.8
design 94.2
pattern 91.9
antique 91.4
sooty 90.9
style 89.6
fashion 88.8
canvas 88.6
page 88.4
wallpaper 88.1
wear 87.6
color 86.7

Imagga
created on 2020-04-26

texture 36.8
old 32.1
rough 31.9
vintage 30.6
aged 29.9
paper 27.5
antique 26
weathered 25.7
grunge 24.7
retro 24.6
pattern 23.9
wallpaper 23.7
backgrounds 23.5
dirty 23.5
ancient 23.4
canvas 22.8
letter 22
messy 21.3
stained 21.2
empty 20.6
blank 19.7
surface 19.4
stain 18.3
parchment 18.2
frame 18.1
wall 18.1
sheet 17.9
textured 17.5
decay 17.4
aging 17.3
design 16.9
text 16.6
close 16.6
paint 16.3
correspondence 15.7
book 15.6
torn 15.5
material 15.2
grungy 15.2
burnt 14.6
obsolete 14.4
backdrop 14
brown 14
document 13.9
cardboard 13.4
history 13.4
rusty 13.3
art 13.1
note 12.9
color 12.8
scrolls 12.8
pages 12.7
layers 12.6
spotted 12.5
age 12.4
poster 12.3
brittle 11.8
letterhead 11.8
border 11.8
burning 11.6
rust 11.6
worn 11.5
yellow 11.3
binding 11.2
graphic 10.9
space 10.9
stamp 10.6
damaged 10.5
hide 10.3
black 10.2
page 10.2
detail 9.7
sand 9.5
stone 9.5
stucco 9.2
closeup 8.8
water 8.7
mail 8.6
fastener 8.3
style 8.2
artistic 7.8
beach 7.6
wave 7.4
decoration 7.4
effect 7.3
lace 7.3
metal 7.2
arthropod 7

Google
created on 2020-04-26

Notebook 81.1
Pattern 65.7
Paper product 65.2

Microsoft
created on 2020-04-26

abstract 87.6
texture 76.8
text 72.9
pattern 68.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 39-57
Gender Female, 50.1%
Fear 49.6%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.8%
Happy 49.5%
Sad 50%

AWS Rekognition

Age 43-61
Gender Male, 50.4%
Calm 49.5%
Happy 49.5%
Sad 49.5%
Angry 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.2%
Happy 49.6%
Surprised 49.5%
Calm 50%
Fear 49.5%
Sad 49.6%
Disgusted 49.5%
Confused 49.5%
Angry 49.7%

AWS Rekognition

Age 23-35
Gender Female, 50.1%
Happy 49.6%
Surprised 49.6%
Confused 49.5%
Fear 49.9%
Calm 49.7%
Angry 49.6%
Disgusted 49.5%
Sad 49.5%

AWS Rekognition

Age 20-32
Gender Female, 50.4%
Calm 49.5%
Angry 50.3%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Fear 49.5%
Happy 49.5%
Sad 49.6%

AWS Rekognition

Age 42-60
Gender Female, 50%
Angry 49.5%
Fear 49.5%
Sad 50.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 10-20
Gender Male, 50.3%
Angry 49.6%
Fear 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Sad 50.1%
Calm 49.7%

AWS Rekognition

Age 16-28
Gender Male, 50.3%
Angry 49.6%
Surprised 49.6%
Fear 49.9%
Calm 49.6%
Sad 49.6%
Confused 49.5%
Happy 49.7%
Disgusted 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.4%
Fear 49.6%
Sad 49.7%
Disgusted 49.6%
Happy 49.5%
Confused 49.5%
Calm 49.9%
Surprised 49.5%
Angry 49.7%

AWS Rekognition

Age 25-39
Gender Male, 50.3%
Fear 49.5%
Calm 50.1%
Happy 49.5%
Sad 49.8%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 27-43
Gender Female, 50.2%
Sad 49.6%
Surprised 49.7%
Calm 49.7%
Angry 49.9%
Fear 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 33-49
Gender Male, 50.4%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.7%
Fear 49.6%
Angry 49.9%
Sad 49.7%

AWS Rekognition

Age 32-48
Gender Female, 50.1%
Confused 49.5%
Fear 49.6%
Happy 49.5%
Surprised 49.6%
Disgusted 49.5%
Angry 50%
Sad 49.8%
Calm 49.6%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Sad 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Calm 50.3%
Surprised 49.5%
Fear 49.5%
Disgusted 49.5%

AWS Rekognition

Age 30-46
Gender Male, 50.5%
Calm 49.7%
Fear 49.5%
Angry 50.1%
Sad 49.6%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.3%
Disgusted 49.8%
Fear 49.5%
Sad 49.7%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.8%
Confused 49.5%

Feature analysis

Amazon

Rug 99.6%

Captions

Microsoft
created on 2020-04-26

a close up of a white wall 35.5%