Human Generated Data

Title

A Panoply of Priests
Date

c. 1835
People

-
Classification

Drawings
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, The Stuart Cary Welch Collection, Gift of Edith I. Welch in memory of Stuart Cary Welch, 2009.202.62

Human Generated Data

Title

A Panoply of Priests

Date

c. 1835

Classification

Drawings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, The Stuart Cary Welch Collection, Gift of Edith I. Welch in memory of Stuart Cary Welch, 2009.202.62

Machine Generated Data

Tags

Amazon
created on 2020-04-25

Rug 98.8
Text 97
Animal 90
Bird 90
Bird 72.9
Letter 58.2

Clarifai
created on 2020-04-25

dirty 97.6
old 97
desktop 97
texture 96.8
retro 96.6
paper 96.2
rough 95.2
no person 95
design 94.7
pattern 94.6
ancient 93.4
antique 92.6
empty 92.2
art 91.1
architecture 90.4
wall 88.5
picture frame 88.5
writing 88.4
parchment 87.9
abstract 87.7

Imagga
created on 2020-04-25

gravestone 92.9
memorial 90.8
stone 66.2
structure 59.8
old 49.6
texture 47.3
grunge 42.7
graffito 41.5
antique 39
aged 38.1
vintage 36.5
dirty 36.2
wall 34.3
rough 33.8
retro 33.7
textured 30.7
weathered 30.5
pattern 30.2
decoration 28.6
ancient 28.6
material 27.8
grungy 27.6
paper 25.9
stained 24.1
blank 23.2
parchment 23.1
aging 23.1
wallpaper 23
canvas 22.8
backgrounds 22.8
damaged 22
empty 21.5
brass 21.4
surface 21.2
rusty 21
burnt 20.5
stain 20.2
torn 19.4
frame 19.2
brown 19.2
design 18.6
messy 18.4
text 18.4
decay 18.4
worn 18.2
detail 17.7
age 17.2
sheet 17
backdrop 16.5
paint 16.3
border 16.3
dirt 16.3
burlap 15.5
obsolete 15.4
art 14.4
page 13.9
note 13.8
book 13.8
cement 13.6
spotted 13.5
spot 13.5
scratch 12.7
gray 12.6
history 12.6
rust 12.5
concrete 12.5
metal 12.1
letter 11.9
poster 11.4
closeup 10.8
building 10.3
close 10.3
construction 10.3
document 10.2
architecture 10.2
doormat 10.2
pages 9.8
sepia 9.7
layers 9.7
cardboard 9.6
color 9.5
iron 9.3
grain 9.2
mat 9
brittle 8.9
scrolls 8.9
letterhead 8.9
correspondence 8.8
grime 8.8
burning 8.7
yellow 8.6
decorative 8.4
metallic 8.3
cotton 8.2
stucco 8.1
urban 7.9
scratched 7.8
manuscript 7.8
space 7.8
textures 7.6
effect 7.3
fabric 7

Google
created on 2020-04-25

Text 88.1
Font 78.3
History 54.1
Art 50.2

Microsoft
created on 2020-04-25

handwriting 96.3
bird 64.3
text 59.6
abstract 53.7
drawing 50.5
stone 10.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-34
Gender Female, 51%
Surprised 45.1%
Confused 45%
Disgusted 45%
Fear 45%
Calm 46.3%
Happy 53.5%
Angry 45%
Sad 45%

AWS Rekognition

Age 20-32
Gender Female, 54.3%
Calm 45.3%
Happy 53.1%
Fear 45.1%
Sad 45.5%
Disgusted 45.1%
Confused 45.1%
Surprised 45.7%
Angry 45.1%

AWS Rekognition

Age 3-9
Gender Female, 51.2%
Fear 45%
Sad 45%
Disgusted 45%
Happy 54.6%
Confused 45%
Calm 45.3%
Surprised 45%
Angry 45%

AWS Rekognition

Age 20-32
Gender Female, 51.8%
Calm 49.5%
Confused 45.1%
Angry 45.5%
Happy 45.7%
Fear 46.6%
Disgusted 45.6%
Surprised 46.2%
Sad 45.8%

AWS Rekognition

Age 21-33
Gender Female, 91.7%
Happy 27.9%
Calm 5.4%
Angry 1%
Disgusted 2.2%
Fear 1.7%
Sad 42.2%
Confused 18.7%
Surprised 0.8%

AWS Rekognition

Age 47-65
Gender Male, 54.8%
Sad 45.5%
Surprised 45.3%
Calm 52.5%
Angry 45.1%
Fear 45.1%
Happy 46.4%
Disgusted 45%
Confused 45%

AWS Rekognition

Age 22-34
Gender Female, 54.3%
Disgusted 45%
Fear 45.1%
Calm 52.6%
Surprised 45.1%
Angry 45.2%
Sad 45.6%
Confused 45%
Happy 46.3%

AWS Rekognition

Age 6-16
Gender Female, 51.5%
Disgusted 45%
Surprised 45%
Angry 45%
Confused 45%
Happy 54.8%
Sad 45%
Calm 45.1%
Fear 45%

AWS Rekognition

Age 22-34
Gender Female, 53.8%
Fear 45.1%
Disgusted 45%
Surprised 45%
Happy 46.1%
Angry 45.1%
Sad 53.3%
Confused 45.1%
Calm 45.2%

AWS Rekognition

Age 22-34
Gender Female, 53.8%
Confused 45%
Angry 45.1%
Calm 48.5%
Happy 51.4%
Fear 45%
Sad 45%
Disgusted 45%
Surprised 45.1%

AWS Rekognition

Age 22-34
Gender Male, 53.8%
Fear 45%
Calm 55%
Sad 45%
Confused 45%
Disgusted 45%
Happy 45%
Angry 45%
Surprised 45%

AWS Rekognition

Age 23-35
Gender Male, 50.2%
Calm 45.1%
Disgusted 45%
Happy 54.5%
Surprised 45.1%
Sad 45.1%
Confused 45%
Fear 45.2%
Angry 45.1%

AWS Rekognition

Age 22-34
Gender Female, 84.6%
Angry 2.1%
Fear 0.8%
Happy 80.2%
Surprised 1%
Calm 9.9%
Confused 0.6%
Disgusted 0.5%
Sad 4.8%

AWS Rekognition

Age 23-35
Gender Female, 53.5%
Happy 52.5%
Fear 45.1%
Disgusted 45%
Calm 46.8%
Surprised 45.2%
Sad 45.1%
Confused 45%
Angry 45.3%

AWS Rekognition

Age 23-35
Gender Male, 54.5%
Happy 45%
Sad 45%
Confused 45%
Fear 45%
Disgusted 45%
Angry 45.1%
Surprised 45%
Calm 54.9%

AWS Rekognition

Age 20-32
Gender Female, 53.8%
Calm 47.3%
Sad 46.5%
Angry 46.3%
Disgusted 45.1%
Fear 45.3%
Happy 48.1%
Confused 45.1%
Surprised 46.2%

AWS Rekognition

Age 24-38
Gender Female, 52.3%
Happy 51.4%
Surprised 45.7%
Sad 45.9%
Calm 46.3%
Disgusted 45%
Fear 45.1%
Confused 45.1%
Angry 45.5%

AWS Rekognition

Age 22-34
Gender Female, 53.7%
Calm 54.2%
Angry 45%
Happy 45.2%
Disgusted 45%
Fear 45%
Sad 45.5%
Confused 45%
Surprised 45%

AWS Rekognition

Age 15-27
Gender Male, 50.2%
Fear 45%
Happy 45%
Angry 52.8%
Surprised 45%
Confused 45%
Disgusted 45%
Sad 45.1%
Calm 47%

AWS Rekognition

Age 24-38
Gender Male, 53.7%
Angry 45.2%
Surprised 50.8%
Confused 45%
Disgusted 45.1%
Happy 47.6%
Calm 45.8%
Fear 45.4%
Sad 45%

AWS Rekognition

Age 23-35
Gender Female, 53.3%
Fear 45%
Surprised 45.2%
Disgusted 45%
Calm 52.5%
Sad 45%
Angry 45%
Happy 47.3%
Confused 45%

AWS Rekognition

Age 24-38
Gender Female, 52.7%
Disgusted 45%
Fear 45%
Surprised 45%
Angry 45.1%
Happy 47.7%
Calm 51.2%
Confused 45%
Sad 45.9%

AWS Rekognition

Age 22-34
Gender Female, 77.7%
Calm 58.7%
Sad 2.8%
Fear 5%
Happy 12.7%
Disgusted 0.6%
Surprised 10.3%
Confused 1.5%
Angry 8.3%

AWS Rekognition

Age 22-34
Gender Female, 50.3%
Happy 45.6%
Disgusted 45%
Confused 45.1%
Surprised 45.1%
Calm 51.7%
Fear 45.1%
Angry 45.4%
Sad 47%

AWS Rekognition

Age 22-34
Gender Female, 52.6%
Sad 45%
Disgusted 45%
Fear 45%
Angry 45%
Happy 54.6%
Calm 45.4%
Confused 45%
Surprised 45%

AWS Rekognition

Age 24-38
Gender Female, 53.4%
Fear 45%
Confused 45%
Angry 45%
Surprised 45%
Disgusted 45%
Calm 54.8%
Happy 45.1%
Sad 45%

AWS Rekognition

Age 24-38
Gender Male, 52.5%
Happy 45%
Fear 45%
Disgusted 45%
Calm 49%
Surprised 50.6%
Sad 45.1%
Confused 45.2%
Angry 45.1%

AWS Rekognition

Age 24-38
Gender Male, 52.6%
Angry 48.4%
Fear 45.4%
Disgusted 45.1%
Happy 45.9%
Calm 47.8%
Sad 46.1%
Surprised 46.3%
Confused 45.1%

AWS Rekognition

Age 20-32
Gender Female, 71.5%
Disgusted 0.5%
Angry 1.1%
Fear 0.4%
Surprised 6.6%
Sad 4.4%
Calm 35.6%
Happy 50.1%
Confused 1.4%

AWS Rekognition

Age 16-28
Gender Female, 50.3%
Happy 48.2%
Surprised 45.1%
Calm 51.6%
Fear 45%
Sad 45.1%
Disgusted 45%
Confused 45%
Angry 45.1%

AWS Rekognition

Age 17-29
Gender Female, 53.9%
Calm 45.1%
Sad 45%
Angry 45%
Disgusted 45%
Fear 45%
Happy 54.7%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 23-35
Gender Female, 54%
Fear 45%
Sad 45.8%
Happy 48.9%
Angry 45.1%
Calm 50.1%
Disgusted 45%
Surprised 45%
Confused 45%

AWS Rekognition

Age 20-32
Gender Male, 51.7%
Confused 45%
Calm 45.8%
Disgusted 45%
Surprised 45%
Sad 45.1%
Happy 54%
Angry 45%
Fear 45%

AWS Rekognition

Age 24-38
Gender Female, 51.1%
Angry 45.1%
Calm 51.5%
Disgusted 45%
Happy 45.8%
Fear 45%
Confused 45%
Surprised 45%
Sad 47.5%

AWS Rekognition

Age 22-34
Gender Female, 53.8%
Surprised 45.1%
Angry 45.2%
Happy 54%
Confused 45.1%
Calm 45.5%
Sad 45.1%
Disgusted 45%
Fear 45%

AWS Rekognition

Age 22-34
Gender Female, 53%
Sad 47.3%
Calm 49.8%
Disgusted 45.1%
Angry 45.1%
Confused 45.1%
Surprised 45.2%
Happy 47.4%
Fear 45.1%

AWS Rekognition

Age 16-28
Gender Female, 50.5%
Happy 45.4%
Fear 46.1%
Surprised 45.1%
Confused 45.1%
Sad 49%
Calm 45.4%
Disgusted 45.4%
Angry 48.6%

AWS Rekognition

Age 31-47
Gender Male, 50.9%
Fear 9.1%
Disgusted 0.3%
Angry 6.2%
Confused 1.5%
Happy 0.1%
Calm 15.7%
Surprised 0.6%
Sad 66.5%

AWS Rekognition

Age 22-34
Gender Female, 53.4%
Disgusted 45%
Happy 53%
Calm 46.9%
Fear 45%
Confused 45%
Sad 45%
Surprised 45.1%
Angry 45%

AWS Rekognition

Age 21-33
Gender Female, 53.9%
Disgusted 45%
Fear 45%
Sad 45%
Calm 45.7%
Happy 54.2%
Confused 45%
Surprised 45%
Angry 45%

AWS Rekognition

Age 26-40
Gender Female, 51.6%
Happy 49.6%
Fear 45.4%
Calm 45.8%
Angry 45.5%
Confused 46.1%
Surprised 47.1%
Disgusted 45.2%
Sad 45.3%

AWS Rekognition

Age 18-30
Gender Female, 51.6%
Calm 53.6%
Angry 45%
Disgusted 45%
Fear 45%
Surprised 45%
Sad 45.2%
Confused 45%
Happy 46.2%

Feature analysis

Amazon

Rug 98.8%
Bird 90%

Categories

Imagga

streetview architecture 75%
paintings art 20.4%
beaches seaside 4%

Captions

Microsoft
created on 2020-04-25

a graffiti covered building 62.1%
graffiti on a brick building 43.5%
graffiti on a wall 43.4%

Text analysis

Amazon

7n
31
7aoend
aeatea 7n
3a42-1
Enensn
IRA19
a
F
$1972 31
05
4a
Enensn nahs
aeatea
9391 4a
DEAT
neoen
nahs
9391
$1972

Google

बवन
कसन
गोपना
০
जা
স
Tidia
ৰ
ी-
इनारक बवन मা कसन पूरस गोपना बरर। ो ০ जা স এ Tidia ৰ ी-
इनारक
मা
पूरस
बरर।
ो
এ