Human Generated Data

Title

Seated Medicine Buddha (Sanskrit: Bhaishajyaguru)

Date

late 14th-mid 15th century

People
Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Amy and Robert L. Poster, L '65, 2014.514

Human Generated Data

Title

Seated Medicine Buddha (Sanskrit: Bhaishajyaguru)

People
Date

late 14th-mid 15th century

Classification

Paintings

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Rug 99.6
Art 62.6
Ornament 62.6
Tapestry 62.6

Clarifai
created on 2018-02-10

art 99.5
decoration 98.5
religion 97.7
old 97.4
ancient 96.9
painting 96
illustration 95.6
pattern 95.4
design 95.3
antique 94.7
culture 94.2
ornate 94.1
retro 91
texture 90.8
symbol 90.2
wall 89.7
print 89.5
desktop 89.4
artistic 89
picture frame 88

Imagga
created on 2018-02-10

rug 100
furnishing 100
covering 78.8
old 40.4
art 39.1
vintage 33.9
ancient 32.9
antique 30.4
religion 28.7
decoration 28.3
texture 26.4
pattern 24.6
design 24.2
culture 24
grunge 23.9
retro 23
frame 21.7
traditional 21.6
gold 21.4
paper 19.6
style 17.8
ornament 17.3
postage 16.7
ornate 16.5
stamp 16.5
temple 16.1
decorative 15.9
architecture 15.6
wall 15.4
mail 15.3
post 15.3
postmark 14.8
postal 14.7
letter 14.7
history 14.3
door 14.3
religious 14.1
east 14
brown 14
god 13.4
symbol 12.8
aged 12.7
painted 12.4
ornamental 12.4
golden 12
close 12
border 11.8
parchment 11.5
decor 11.5
textured 11.4
oriental 11.3
detail 11.3
church 11.1
entrance 10.6
travel 10.6
used 10.6
obsolete 10.6
geometric 10.4
icon 10.3
blank 10.3
floral 10.2
historic 10.1
wood 10
collection 9.9
rustic 9.6
sculpture 9.6
building 9.5
paint 9.1
painting 9
canceled 8.9
stamps 8.9
bangkok 8.9
metal 8.9
carving 8.8
museum 8.7
artistic 8.7
historical 8.5
flower 8.5
mosaic 8.4
color 8.3
dirty 8.1
object 8.1
interior 8
colors 7.9
colorful 7.9
printed 7.9
renaissance 7.9
mosque 7.9
painter 7.8
envelope 7.8
eastern 7.8
palace 7.7
middle 7.7
decorated 7.7
wallpaper 7.7
faith 7.7
worn 7.6
craft 7.6
decorate 7.6
grungy 7.6

Google
created on 2018-02-10

history 82.4
tapestry 76.4
ancient history 76.3
art 68.1
middle ages 66
rug 50.8
miniature 50.1

Microsoft
created on 2018-02-10

rug 99.5
furniture 98.8
indoor 97.9
wall 95.8
old 73.5
decorated 68.3
painting 63
painted 47.4

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.9%
Calm 49.5%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 19-36
Gender Female, 54.7%
Disgusted 45.4%
Surprised 45.7%
Angry 46.9%
Calm 48.4%
Happy 45.8%
Sad 46.2%
Confused 46.6%

AWS Rekognition

Age 48-68
Gender Male, 52.5%
Angry 49%
Confused 45.2%
Surprised 45.2%
Calm 47.7%
Disgusted 45.8%
Sad 46.9%
Happy 45.3%

AWS Rekognition

Age 15-25
Gender Male, 52.5%
Happy 45.1%
Confused 45.4%
Disgusted 45.5%
Sad 51.2%
Angry 45.7%
Calm 46.6%
Surprised 45.4%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.4%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 26-44
Gender Male, 53.9%
Happy 46.8%
Surprised 46.5%
Disgusted 45.4%
Sad 45.9%
Angry 45.7%
Confused 45.5%
Calm 49.2%

AWS Rekognition

Age 15-25
Gender Female, 50%
Happy 48.3%
Disgusted 45.3%
Surprised 45.4%
Confused 45.1%
Calm 49.8%
Sad 45.3%
Angry 45.7%

AWS Rekognition

Age 17-27
Gender Male, 52.7%
Surprised 45.1%
Confused 45.1%
Calm 45.2%
Happy 45.1%
Disgusted 53.8%
Angry 45.3%
Sad 45.3%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Surprised 49.5%
Happy 49.6%
Disgusted 49.6%
Angry 50%
Confused 49.5%
Calm 49.5%
Sad 49.8%

AWS Rekognition

Age 19-36
Gender Female, 53%
Confused 45.2%
Sad 50.1%
Calm 45.2%
Disgusted 45.4%
Angry 45.7%
Happy 45.8%
Surprised 47.6%

AWS Rekognition

Age 15-25
Gender Male, 52.2%
Confused 45.1%
Calm 45.2%
Happy 45%
Disgusted 45.1%
Angry 45.4%
Sad 54.2%
Surprised 45.1%

AWS Rekognition

Age 35-53
Gender Male, 50.8%
Happy 45.9%
Surprised 45.2%
Angry 45.4%
Calm 49.9%
Disgusted 46.5%
Sad 46.8%
Confused 45.3%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Sad 50.5%
Happy 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-55
Gender Male, 53%
Happy 45.3%
Angry 46.3%
Disgusted 46%
Sad 46.4%
Surprised 46%
Calm 48.8%
Confused 46.3%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Angry 49.5%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Sad 50.3%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Disgusted 45.1%
Angry 45.5%
Calm 45.8%
Happy 45.1%
Sad 53.3%
Surprised 45.1%
Confused 45.2%

AWS Rekognition

Age 57-77
Gender Male, 53.6%
Happy 45.5%
Sad 47.6%
Confused 45.3%
Angry 45.7%
Surprised 45.3%
Calm 50.1%
Disgusted 45.5%

AWS Rekognition

Age 35-52
Gender Female, 51.3%
Confused 45.2%
Sad 45.4%
Calm 46.9%
Surprised 45.5%
Disgusted 50.7%
Angry 45.5%
Happy 45.8%

AWS Rekognition

Age 35-52
Gender Female, 52.9%
Surprised 45.6%
Disgusted 45.6%
Confused 45.5%
Angry 45.5%
Sad 46.8%
Happy 49.5%
Calm 46.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Happy 49.5%
Sad 50.3%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 53.9%
Happy 47.6%
Angry 45.4%
Surprised 45.6%
Sad 50.2%
Disgusted 45.2%
Calm 45.8%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 50.1%
Disgusted 49.5%
Calm 49.5%
Sad 49.9%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Angry 49.5%
Happy 49.5%
Calm 49.8%
Surprised 49.6%
Sad 49.7%
Disgusted 49.5%
Confused 49.8%

AWS Rekognition

Age 45-66
Gender Female, 50.2%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50%
Calm 49.7%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 49-69
Gender Female, 50.2%
Confused 49.6%
Sad 49.8%
Disgusted 49.7%
Happy 49.6%
Angry 49.6%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Angry 45.6%
Disgusted 45.6%
Sad 45.6%
Happy 52.2%
Calm 45.4%
Surprised 45.5%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.2%
Disgusted 45.1%
Angry 45.6%
Surprised 45.4%
Happy 45.5%
Sad 52%
Calm 46.2%

AWS Rekognition

Age 45-63
Gender Female, 54.5%
Angry 45.6%
Confused 45.4%
Disgusted 45.8%
Happy 50.6%
Surprised 45.6%
Sad 46.6%
Calm 45.4%

AWS Rekognition

Age 12-22
Gender Female, 53.2%
Happy 45.1%
Surprised 45.4%
Angry 53.2%
Confused 45.1%
Disgusted 45.2%
Calm 45.8%
Sad 45.3%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Happy 45%
Disgusted 45%
Confused 45.1%
Angry 45.3%
Surprised 45.1%
Sad 45.8%
Calm 53.6%

AWS Rekognition

Age 11-18
Gender Male, 50.2%
Disgusted 49.6%
Confused 49.6%
Happy 49.7%
Angry 49.7%
Calm 49.6%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 35-52
Gender Female, 52.3%
Confused 45.2%
Calm 45.5%
Surprised 45.2%
Sad 52.7%
Happy 45.4%
Disgusted 45.2%
Angry 45.9%

AWS Rekognition

Age 60-80
Gender Male, 53.4%
Disgusted 45.1%
Confused 45.2%
Happy 45.1%
Angry 45.4%
Calm 45.2%
Surprised 45.1%
Sad 53.9%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.6%
Sad 50.2%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%
Disgusted 49.6%

AWS Rekognition

Age 16-27
Gender Male, 52.1%
Angry 45.2%
Happy 45.4%
Confused 45.1%
Sad 45.3%
Surprised 45.2%
Calm 53.7%
Disgusted 45.1%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Happy 45.3%
Disgusted 45.3%
Surprised 45.2%
Confused 45.7%
Calm 45.2%
Sad 52%
Angry 46.4%

AWS Rekognition

Age 23-38
Gender Female, 53.1%
Disgusted 45.4%
Confused 45.4%
Surprised 45.8%
Calm 45.7%
Angry 47.4%
Happy 45.2%
Sad 50.1%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Happy 49.6%
Calm 49.5%
Angry 49.6%
Disgusted 49.6%
Sad 49.9%
Surprised 49.7%
Confused 49.7%

AWS Rekognition

Age 20-38
Gender Female, 54.2%
Calm 45.7%
Surprised 46%
Disgusted 45.5%
Angry 48.9%
Sad 47%
Confused 46.3%
Happy 45.6%

Feature analysis

Amazon

Rug 99.6%

Captions

Microsoft

a painting of a colorful rug 78.7%
a painting of a rug 78.6%
a painting on a rug 78.5%

Text analysis

Amazon

YOEXBYAYh
OWYGABEERT
AcT
(a
or
BOVCOOCG
Y AcT a (a
a
Y