Human Generated Data

Title

Album Leaf of Figures

Date

17th-19th century

People

-

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Bequest of the Hofer Collection of the Arts of Asia, 1985.924.6

Human Generated Data

Title

Album Leaf of Figures

Date

17th-19th century

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Bequest of the Hofer Collection of the Arts of Asia, 1985.924.6

Machine Generated Data

Tags

Amazon
created on 2019-05-31

Art 99.1
Painting 99.1
Person 96.1
Human 96.1
Person 95.4
Person 94.5
Person 94.3
Person 91.9
Person 87.7
Person 84.4
Person 82.8
Person 82.1
Person 68

Clarifai
created on 2019-05-31

people 99.9
adult 99.8
painting 99.3
man 98.6
wear 98.4
woman 98.2
group 98
art 98
illustration 96.2
mammal 95
many 92.3
one 92.1
veil 91.7
motion 91.3
ancient 90.1
recreation 89.5
religion 89.4
pants 89.4
landscape 87.5
child 86.4

Imagga
created on 2019-05-31

graffito 90.6
decoration 60.4
grunge 33.2
vintage 28.9
old 26.5
texture 26.4
retro 19.6
antique 19
aged 19
paper 18.9
brown 14.7
frame 14.1
sand 14.1
art 13.9
design 13.7
dirty 13.5
material 13.4
pattern 13
wall 12.7
parchment 12.5
damaged 12.4
wallpaper 12.2
ancient 12.1
textured 11.4
backgrounds 11.3
page 11.1
card 11
structure 10.4
color 10
crumpled 9.7
rusty 9.5
grungy 9.5
canvas 9.5
empty 9.4
grain 9.2
wood 9.2
artwork 9.1
tile 9
grime 8.8
cardboard 8.6
aging 8.6
play 8.6
holiday 8.6
worn 8.6
blank 8.6
weathered 8.5
space 8.5
beach 8.4
letter 8.2
container 8.2
rough 8.2
symbol 8.1
celebration 8
fracture 7.8
travel 7.7
men 7.7
decay 7.7
flower 7.7
stain 7.7
orange 7.7
parquet 7.5
silhouette 7.4
style 7.4
man 7.4
yellow 7.3
game 7.3
people 7.2
border 7.2
painting 7.2
board 7.2
carton 7.2
surface 7.1

Google
created on 2019-05-31

Microsoft
created on 2019-05-31

painting 98.7
floor 97.7
drawing 97.5
clothing 89.7
art 89.2
person 83.8
cartoon 79.2
woman 72.3
sketch 66.3
child art 61.6
fabric 17.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-57
Gender Female, 53.6%
Angry 47.8%
Sad 50.8%
Surprised 45.1%
Happy 45.7%
Calm 45%
Disgusted 45.4%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53%
Confused 45%
Calm 45%
Sad 45.1%
Surprised 45.1%
Angry 45.1%
Disgusted 45.1%
Happy 54.6%

AWS Rekognition

Age 45-63
Gender Female, 52.3%
Confused 45.2%
Surprised 45.1%
Happy 45.2%
Calm 45.3%
Sad 53.7%
Disgusted 45.1%
Angry 45.4%

AWS Rekognition

Age 15-25
Gender Male, 54.6%
Disgusted 45.3%
Calm 52.4%
Sad 45.9%
Confused 45.2%
Angry 45.1%
Surprised 45.2%
Happy 45.9%

AWS Rekognition

Age 20-38
Gender Male, 54.9%
Angry 46.3%
Sad 47.6%
Disgusted 45.4%
Surprised 45.6%
Happy 46.3%
Calm 48.1%
Confused 45.6%

AWS Rekognition

Age 20-38
Gender Male, 54%
Confused 45.4%
Disgusted 45.5%
Calm 52.1%
Angry 45.2%
Sad 45.6%
Happy 46.1%
Surprised 45.2%

AWS Rekognition

Age 6-13
Gender Male, 52.4%
Happy 45.9%
Angry 46.2%
Surprised 45.5%
Disgusted 46.1%
Sad 49.8%
Calm 46.1%
Confused 45.4%

AWS Rekognition

Age 27-44
Gender Female, 52.2%
Angry 49.4%
Calm 45.3%
Sad 45.2%
Surprised 45.2%
Disgusted 49.1%
Happy 45.7%
Confused 45.2%

AWS Rekognition

Age 14-25
Gender Male, 53.9%
Happy 45.4%
Sad 50.7%
Confused 45.4%
Angry 45.8%
Disgusted 45.8%
Surprised 45.3%
Calm 46.6%

AWS Rekognition

Age 11-18
Gender Male, 51.8%
Surprised 45.4%
Confused 45.2%
Disgusted 45.2%
Happy 49.8%
Sad 46.7%
Calm 47.6%
Angry 45.2%

Feature analysis

Amazon

Painting 99.1%
Person 96.1%

Captions