Human Generated Data

Title

Casualties and Hypocrites

Date

2004

People

Artist: Marcel Dzama, Canadian born 1974

Publisher: I. C. Editions, Inc.,

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Margaret Fisher Fund, M26678

Human Generated Data

Title

Casualties and Hypocrites

People

Artist: Marcel Dzama, Canadian born 1974

Publisher: I. C. Editions, Inc.,

Date

2004

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-11-03

Text 96.9
Person 91.6
Human 91.6
Animal 88.1
Bird 88.1
Bird 88
Bird 87.6
Bird 86.5
Bird 84.9
Bird 83.5
Bird 83.2
Person 83.2
Bird 82.4
Person 79.9
Alphabet 79.9
Person 77.5
Poster 77.1
Advertisement 77.1
Bird 75.3
Person 74.6
Person 74.1
Collage 73.8
Bird 72.2
Bird 72.1
Bird 69.3
Bird 66.1
Bird 64.7
Person 64.5
Bird 64.1
Person 64.1
Bird 64
Bird 62.7
Person 62
Person 59.2
Person 59
Letter 58.4
Produce 57.6
Vegetable 57.6
Food 57.6
Plant 57.6
Grain 57.6
Person 55.5
Person 51.2
Person 50.1

Clarifai
created on 2019-11-03

vintage 96
illustration 96
people 95.9
group 95.1
vector 94.7
desktop 94.5
collection 94.2
graphic 94
art 94
symbol 93.1
mammal 92.4
adult 92.1
design 91.5
abstract 90.7
text 90.3
pattern 88.8
retro 88.8
sign 88.4
building 87.6
silhouette 87.4

Imagga
created on 2019-11-03

decoration 35.4
menu 32.7
design 32.7
frame 29.6
grunge 26.4
graphic 25.6
fare 24.9
floral 24.7
pattern 24.6
wallpaper 24.5
element 24
texture 22.9
border 21.7
retro 21.3
art 20.1
ornament 19.8
backdrop 19.8
envelope 19.4
vintage 18.2
decorative 17.6
silhouette 17.4
card 17.2
decor 16.8
swirl 16.6
splash 16.5
cold 16.4
drawing 15.7
black 15.6
style 15.6
paint 15.4
flower 15.4
drops 15.1
curve 14.9
leaf 14.8
holiday 14.3
scroll 14.3
cotton 14
elements 13.9
dirty 13.6
old 13.3
surface 13.2
artwork 12.8
ornate 12.8
set 12.7
water 12.7
food 12.7
shape 12.7
creative 12.4
plant 12.2
sign 12
banner 12
drop 11.8
drink 11.7
clean 11.7
season 11.7
cool 11.6
container 11.5
bubbles 11.4
text 11.4
clear 11.4
liquid 11.3
paper 11.3
modern 11.2
symbol 10.8
wet 10.7
snow 10.7
line 10.3
spring 10.2
arabesque 10
snowflake 9.6
stain 9.6
celebration 9.6
curl 9.5
elegant 9.4
bubble 9.4
winter 9.4
glass 9.3
collection 9
star 9
filigree 8.9
artistic 8.7
antique 8.7
summer 8.4
page 8.4
foliage 8.3
template 8.3
ant 8.1
transparent 8.1
detail 8.1
fresh 7.9
droplets 7.8
color 7.8
droplet 7.8
ink 7.7
health 7.7
ocean 7.5
wedding 7.4
letter 7.3
backgrounds 7.3
representation 7.3
new 7.3
valentine 7.3
material 7.2
cartoon 7.1
icon 7.1
love 7.1
textured 7

Google
created on 2019-11-03

Text 93.2
Font 88.2
Illustration 50.4

Microsoft
created on 2019-11-03

text 98.8
bird 71.6
flock 56.5
cartoon 52.3

Face analysis

Amazon

AWS Rekognition

Age 42-60
Gender Female, 50.1%
Sad 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.7%
Fear 49.5%
Confused 49.5%
Surprised 49.8%
Happy 49.9%

AWS Rekognition

Age 31-47
Gender Female, 50.2%
Confused 49.5%
Fear 50.1%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.7%
Angry 49.5%
Sad 49.5%

AWS Rekognition

Age 13-23
Gender Male, 50.5%
Disgusted 49.5%
Sad 49.5%
Calm 49.5%
Confused 50.3%
Fear 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 21-33
Gender Male, 50.5%
Sad 49.7%
Happy 49.5%
Calm 50%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Fear 49.7%
Confused 49.5%

AWS Rekognition

Age 39-57
Gender Male, 50.3%
Disgusted 49.6%
Fear 49.8%
Confused 49.5%
Calm 49.5%
Angry 49.8%
Surprised 49.5%
Happy 49.6%
Sad 49.6%

AWS Rekognition

Age 14-26
Gender Female, 50.3%
Happy 49.6%
Angry 49.7%
Fear 49.5%
Calm 49.7%
Disgusted 49.6%
Surprised 49.5%
Sad 49.9%
Confused 49.5%

AWS Rekognition

Age 8-18
Gender Male, 50.2%
Fear 49.6%
Happy 49.5%
Angry 49.5%
Sad 49.5%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Surprised 50.2%

AWS Rekognition

Age 9-19
Gender Female, 50.1%
Fear 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.8%
Disgusted 49.7%
Calm 49.9%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50.3%
Fear 49.5%
Disgusted 49.6%
Happy 49.7%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 50.2%
Sad 49.5%

AWS Rekognition

Age 24-38
Gender Female, 50%
Disgusted 49.5%
Happy 50.4%
Angry 49.5%
Fear 49.5%
Confused 49.5%
Sad 49.5%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 4-14
Gender Female, 50.4%
Confused 49.5%
Fear 49.5%
Disgusted 49.5%
Sad 50.4%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.2%
Calm 49.5%
Fear 49.6%
Sad 49.7%
Disgusted 49.5%
Angry 50%
Surprised 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 19-31
Gender Female, 50.4%
Calm 49.5%
Angry 49.5%
Sad 49.5%
Surprised 49.5%
Fear 49.5%
Happy 50.4%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50%
Surprised 49.6%
Disgusted 49.5%
Fear 49.9%
Confused 49.7%
Sad 49.8%
Angry 49.5%
Happy 49.5%
Calm 49.5%

AWS Rekognition

Age 1-5
Gender Female, 50.4%
Sad 49.9%
Fear 49.8%
Happy 49.6%
Surprised 49.6%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 22-34
Gender Male, 50.3%
Calm 50.1%
Fear 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 49.7%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 36-54
Gender Male, 50.1%
Surprised 49.5%
Angry 49.6%
Calm 49.5%
Sad 49.5%
Happy 49.5%
Disgusted 49.9%
Confused 49.8%
Fear 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50.2%
Disgusted 50.3%
Fear 49.5%
Surprised 49.5%
Happy 49.5%
Sad 49.5%
Confused 49.5%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50.3%
Angry 49.5%
Confused 49.5%
Calm 50.4%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 36-52
Gender Female, 50%
Calm 49.5%
Happy 49.5%
Surprised 50.2%
Fear 49.7%
Sad 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 56-74
Gender Male, 50.3%
Disgusted 49.5%
Angry 49.5%
Calm 50.4%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Fear 49.5%
Sad 49.5%

AWS Rekognition

Age 13-25
Gender Female, 50.2%
Surprised 49.5%
Sad 49.5%
Disgusted 49.5%
Fear 49.5%
Calm 49.5%
Angry 50.4%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 8-18
Gender Female, 50.4%
Happy 50.3%
Sad 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 3-9
Gender Female, 50.1%
Fear 49.7%
Disgusted 49.5%
Sad 50.1%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 25-39
Gender Female, 50.3%
Confused 49.5%
Angry 49.5%
Fear 50.4%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 49.6%

AWS Rekognition

Age 21-33
Gender Male, 50.1%
Confused 49.5%
Angry 49.5%
Fear 49.8%
Surprised 49.8%
Happy 49.5%
Calm 49.7%
Disgusted 49.5%
Sad 49.5%

AWS Rekognition

Age 12-22
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.5%
Sad 49.5%
Surprised 49.8%
Fear 49.8%
Calm 49.5%
Angry 49.5%
Happy 49.8%

AWS Rekognition

Age 18-30
Gender Male, 50.1%
Fear 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 50.5%
Confused 49.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 11-21
Gender Male, 50%
Happy 49.6%
Confused 49.5%
Angry 49.7%
Surprised 49.6%
Sad 49.5%
Disgusted 49.6%
Calm 49.6%
Fear 50%

Feature analysis

Amazon

Person 91.6%
Bird 88.1%

Captions

Microsoft

a flock of birds 44.5%
a flock of seagulls 26.6%
a flock of birds flying in the sky 26.5%

Text analysis

Amazon

SA
ANABAAR
Cssales
atidall
Cssales .-J hee:le
.-J
hee:le
AAI

Google

tt1
Gals
tt1 Gals