Human Generated Data

Title

What a Tailor Can Do

Date

18th-19th century

People

Artist: Francisco José de Goya y Lucientes, Spanish 1746 - 1828

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Philip Hofer, M4352

Human Generated Data

Title

What a Tailor Can Do

People

Artist: Francisco José de Goya y Lucientes, Spanish 1746 - 1828

Date

18th-19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Philip Hofer, M4352

Machine Generated Data

Tags

Amazon
created on 2021-11-11

Art 95.1
Painting 89.4
Human 75.1
Drawing 75.1
Person 68.9
Animal 64
Bird 64
Person 63.6
Sketch 59.3

Clarifai
created on 2023-10-13

art 99.5
people 99.1
wear 98.5
painting 98
print 97.4
vintage 97.4
sepia pigment 96.9
retro 96.2
old 95.4
portrait 95.3
illustration 95.2
antique 94.1
one 93.3
adult 93.1
paper 91.3
man 90.1
veil 87.7
sepia 85.7
bill 85.4
woman 84.4

Imagga
created on 2021-11-11

sketch 58.6
drawing 44.2
old 40.4
graffito 39.2
vintage 38.1
representation 36.9
retro 35.3
grunge 34.1
antique 32
decoration 30.3
ancient 29.4
aged 27.2
texture 25.7
paper 25.1
frame 22.5
stamp 19.7
binding 18.3
wall 18
mail 17.2
grungy 17.1
letter 16.5
book jacket 16.3
dirty 16.3
postmark 15.8
postage 15.7
border 15.4
damaged 15.3
pattern 15.1
art 14.4
material 14.4
postal 13.7
jacket 13.6
page 13
blank 12.9
design 12.6
brown 12.5
envelope 12.4
structure 12.2
text 12.2
architecture 12
rough 11.9
philately 11.9
worn 11.5
card 11.3
paint 10.9
space 10.9
history 10.7
post 10.5
building 10.5
faded 9.7
torn 9.7
textured 9.6
wrapping 9.6
parchment 9.6
window 9.2
circa 8.9
detail 8.9
graphic 8.8
edge 8.7
stained 8.7
aging 8.6
ornament 8.6
door 8.6
old fashioned 8.6
weathered 8.6
covering 8.3
historic 8.3
printed 7.9
black 7.8
album 7.8
burnt 7.8
sepia 7.8
empty 7.7
detailed 7.7
flower 7.7
canvas 7.6
house 7.5
sheet 7.5
element 7.4
symbol 7.4
ornate 7.3
global 7.3
color 7.2

Google
created on 2021-11-11

Microsoft
created on 2021-11-11

drawing 99.5
sketch 98.5
cartoon 95.5
illustration 93.1
gallery 91
text 86.5
engraving 73.5
person 67.5
old 66.2
white 63.9
room 60.3
clothing 54.8
book 53.6
handwriting 52.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-34
Gender Female, 65.3%
Calm 58.4%
Sad 37.5%
Angry 1.4%
Disgusted 1.4%
Confused 0.7%
Happy 0.4%
Surprised 0.1%
Fear 0.1%

AWS Rekognition

Age 28-44
Gender Female, 61.4%
Fear 26.4%
Calm 20.3%
Happy 19.9%
Angry 17.8%
Sad 8.5%
Surprised 3.5%
Disgusted 2.9%
Confused 0.6%

AWS Rekognition

Age 23-35
Gender Female, 65.6%
Calm 82.3%
Angry 9.3%
Sad 3.7%
Fear 1.8%
Happy 0.9%
Surprised 0.8%
Confused 0.7%
Disgusted 0.6%

AWS Rekognition

Age 18-30
Gender Female, 53%
Sad 94.5%
Calm 2.4%
Angry 1.4%
Fear 0.6%
Confused 0.3%
Disgusted 0.3%
Happy 0.2%
Surprised 0.2%

Feature analysis

Amazon

Person 68.9%
Bird 64%

Categories

Imagga

paintings art 99.8%

Captions

Microsoft
created on 2021-11-11

an old photo of a person 51.2%
graffiti on a wall 49.4%
an old photo of a building 48.7%

Text analysis

Amazon

puede
que
un
Sastre!
Lo que puede un Sastre!
Lo
52.

Google

52. So que puede un Sastre! OOO 0@0 0@ 00000 0000
52.
So
que
puede
un
Sastre!
OOO
0@0
0@
00000
0000