Human Generated Data

Title

Gaiety Burlesque
Date

1930
People

Artist: Reginald Marsh, American 1898 - 1954
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Meta and Paul J. Sachs, M13172
Copyright

© Estate of Reginald Marsh / Art Students League, New York / Artists Rights Society (ARS), New York

Human Generated Data

Title

Gaiety Burlesque

People

Artist: Reginald Marsh, American 1898 - 1954

Date

1930

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Meta and Paul J. Sachs, M13172

Copyright

© Estate of Reginald Marsh / Art Students League, New York / Artists Rights Society (ARS), New York

Machine Generated Data

Tags

Amazon
created on 2019-10-29

Person 98.8
Human 98.8
Painting 97.6
Art 97.6
Person 92.3
Person 92.3
Person 91.4
Person 90.7
Person 81
Ornament 80.3
Tapestry 80.3
Person 75.8
Person 71.8
Person 67.9
Person 64.4
Person 56.6
Person 55.2
Person 51.9
Person 47
Person 41.8

Clarifai
created on 2019-10-29

art 99.8
people 99.6
illustration 99.2
engraving 98.6
print 98.6
antique 98
religion 97.2
ancient 97
painting 96.8
adult 95.3
old 95.2
man 94.8
one 94.8
group 92.4
facial hair 90.5
royalty 88.6
portrait 88.4
etching 87.4
sculpture 87
saint 87

Imagga
created on 2019-10-29

old 43.3
ancient 39
vintage 38.9
antique 38
art 35.8
binding 33.4
prayer rug 32.2
texture 32
arabesque 31.1
rug 26.6
grunge 26.4
history 26
carving 22.5
paper 22
wall 21.4
stone 21.4
pattern 21.2
structure 21
design 20.9
aged 20.8
culture 20.5
architecture 19.8
temple 19.4
furnishing 19.4
floor cover 19.3
memorial 18.7
retro 18
religion 17.9
sculpture 17.4
travel 15.5
decoration 15.2
covering 15.2
frame 15
historic 14.7
detail 14.5
traditional 14.2
carved 13.7
east 13.1
blank 12.9
building 12.8
brass 12.5
parchment 12.5
ornament 12.1
brown 11.8
border 11.8
dirty 11.8
obsolete 11.5
rusty 11.4
door 11.4
historical 11.3
style 11.1
letter 11
textured 10.5
mosaic 10.4
monument 10.3
page 10.2
tile 10.1
gold 9.9
decor 9.7
surface 9.7
damaged 9.6
ornamental 9.5
church 9.3
landmark 9
material 8.9
faded 8.8
gravestone 8.8
museum 8.7
book 8.7
stained 8.7
middle 8.7
rustic 8.6
empty 8.6
close 8.6
old fashioned 8.6
wallpaper 8.4
famous 8.4
backdrop 8.3
ornate 8.2
symbol 8.1
postage 7.9
manuscript 7.8
stamp 7.7
entrance 7.7
heritage 7.7
palace 7.7
spirituality 7.7
mail 7.7
worn 7.7
post 7.6
statue 7.6
weathered 7.6
oriental 7.6
decorative 7.5
city 7.5
tourism 7.4
rough 7.3

Google
created on 2019-10-29

Art 80.3
History 74.6
Illustration 68.1
Textile 65.6
Stock photography 65.4
Miniature 60.5
Printmaking 57.6
Antique 56.3
Tapestry 54.1
Middle ages 51.5
Paper 51

Microsoft
created on 2019-10-29

text 96.1
person 91.5
clothing 80.4
old 79.6
drawing 66.8
book 54.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 18-30
Gender Male, 53.2%
Calm 54.7%
Disgusted 45%
Fear 45%
Sad 45.1%
Angry 45%
Confused 45%
Surprised 45%
Happy 45.2%

AWS Rekognition

Age 26-40
Gender Female, 51.6%
Happy 45.7%
Fear 46.9%
Disgusted 45%
Angry 45.7%
Sad 51.2%
Surprised 45%
Confused 45%
Calm 45.6%

AWS Rekognition

Age 42-60
Gender Male, 54.8%
Sad 45.4%
Surprised 45%
Confused 45%
Calm 50.9%
Fear 45%
Disgusted 45.2%
Happy 45%
Angry 48.4%

AWS Rekognition

Age 19-31
Gender Male, 54.5%
Disgusted 45.3%
Surprised 45%
Happy 45.1%
Confused 45%
Calm 46.8%
Angry 52.3%
Fear 45.1%
Sad 45.3%

AWS Rekognition

Age 24-38
Gender Male, 54.4%
Surprised 45%
Confused 45%
Fear 45.1%
Disgusted 45%
Sad 45.1%
Happy 45.2%
Calm 53%
Angry 46.5%

AWS Rekognition

Age 36-54
Gender Male, 54.9%
Disgusted 45.2%
Fear 45.2%
Sad 49%
Happy 45.2%
Angry 46.3%
Calm 49%
Confused 45.1%
Surprised 45%

AWS Rekognition

Age 43-61
Gender Male, 54.9%
Surprised 45%
Happy 45%
Angry 45.1%
Fear 45%
Disgusted 45%
Confused 45%
Sad 50%
Calm 49.9%

AWS Rekognition

Age 38-56
Gender Female, 53.7%
Happy 46%
Angry 45.1%
Sad 45%
Surprised 45%
Disgusted 45%
Calm 53.8%
Confused 45%
Fear 45%

AWS Rekognition

Age 22-34
Gender Female, 50.2%
Angry 45.3%
Sad 53.5%
Disgusted 45%
Fear 45.9%
Calm 45.2%
Happy 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 39-57
Gender Female, 53%
Disgusted 45%
Surprised 45.5%
Confused 45%
Sad 45%
Happy 53.7%
Fear 45.4%
Angry 45.1%
Calm 45.2%

AWS Rekognition

Age 26-42
Gender Male, 55%
Angry 52.4%
Surprised 45.7%
Fear 45.1%
Calm 46.6%
Happy 45.2%
Disgusted 45%
Sad 45.1%
Confused 45%

AWS Rekognition

Age 38-56
Gender Male, 53%
Calm 53.8%
Disgusted 45%
Angry 45.3%
Surprised 45%
Happy 45.3%
Fear 45%
Sad 45.5%
Confused 45%

AWS Rekognition

Age 22-34
Gender Male, 54.6%
Fear 45%
Angry 45.1%
Calm 54.7%
Confused 45%
Happy 45%
Surprised 45%
Sad 45%
Disgusted 45%

AWS Rekognition

Age 26-42
Gender Male, 53.5%
Confused 45%
Sad 45.4%
Happy 45.3%
Fear 45%
Calm 52.4%
Angry 46.8%
Surprised 45.1%
Disgusted 45%

AWS Rekognition

Age 47-65
Gender Male, 55%
Happy 45%
Sad 45%
Calm 54.5%
Disgusted 45%
Surprised 45%
Confused 45%
Angry 45.4%
Fear 45%

AWS Rekognition

Age 21-33
Gender Male, 54.8%
Happy 45%
Disgusted 45%
Confused 45%
Calm 51%
Sad 45.2%
Fear 45%
Surprised 45%
Angry 48.7%

AWS Rekognition

Age 25-39
Gender Male, 54.8%
Happy 45%
Angry 45.4%
Disgusted 45%
Surprised 45.2%
Sad 45.4%
Calm 45.1%
Confused 45%
Fear 53.9%

AWS Rekognition

Age 28-44
Gender Male, 54.1%
Confused 45%
Fear 45.1%
Calm 53.5%
Angry 45.8%
Surprised 45%
Sad 45.2%
Happy 45.3%
Disgusted 45%

AWS Rekognition

Age 49-67
Gender Male, 54.7%
Confused 45%
Fear 45%
Surprised 45%
Calm 47.9%
Disgusted 45%
Angry 52%
Sad 45.1%
Happy 45%

AWS Rekognition

Age 25-39
Gender Female, 50.7%
Happy 45.1%
Calm 45.4%
Angry 45.3%
Surprised 45%
Sad 53.9%
Confused 45%
Disgusted 45%
Fear 45.3%

AWS Rekognition

Age 38-56
Gender Male, 53.8%
Calm 45.3%
Disgusted 45%
Angry 52.5%
Surprised 45%
Happy 45.1%
Confused 45%
Fear 45%
Sad 47.1%

AWS Rekognition

Age 30-46
Gender Female, 51.4%
Calm 52.6%
Disgusted 45%
Angry 45%
Surprised 45%
Happy 45.1%
Fear 45%
Sad 47.2%
Confused 45%

AWS Rekognition

Age 36-52
Gender Male, 52.4%
Sad 46.4%
Happy 46%
Disgusted 45%
Fear 45.2%
Angry 51.2%
Calm 46.1%
Surprised 45.1%
Confused 45%

AWS Rekognition

Age 36-52
Gender Male, 54.9%
Surprised 45%
Calm 45%
Fear 45%
Disgusted 45%
Sad 45%
Confused 45%
Angry 55%
Happy 45%

AWS Rekognition

Age 25-39
Gender Male, 54.5%
Fear 45.2%
Sad 49.3%
Disgusted 45.1%
Happy 45%
Angry 49.5%
Confused 45.1%
Surprised 45.1%
Calm 45.7%

AWS Rekognition

Age 26-40
Gender Male, 54.7%
Confused 45%
Fear 45.1%
Calm 45.1%
Angry 48.9%
Surprised 50.7%
Sad 45%
Happy 45.1%
Disgusted 45%

AWS Rekognition

Age 36-52
Gender Male, 54.5%
Happy 45.2%
Disgusted 45%
Angry 45.4%
Surprised 45.7%
Calm 45.2%
Confused 45%
Fear 53.4%
Sad 45.1%

AWS Rekognition

Age 43-61
Gender Male, 54.4%
Fear 45.2%
Happy 45.1%
Surprised 45%
Disgusted 45%
Calm 45.8%
Sad 48.7%
Angry 50.1%
Confused 45.1%

AWS Rekognition

Age 16-28
Gender Female, 50.7%
Angry 46.5%
Confused 45.1%
Happy 48.3%
Disgusted 45.2%
Sad 45.7%
Fear 48%
Surprised 45.3%
Calm 45.9%

AWS Rekognition

Age 49-67
Gender Male, 54.4%
Calm 49.8%
Disgusted 45.1%
Angry 45.2%
Surprised 45.1%
Fear 45%
Happy 49.5%
Sad 45.1%
Confused 45.2%

AWS Rekognition

Age 28-44
Gender Male, 54.9%
Calm 50.4%
Disgusted 45%
Angry 47.8%
Surprised 45.1%
Happy 46.1%
Fear 45.2%
Sad 45.3%
Confused 45%

AWS Rekognition

Age 23-35
Gender Male, 52.8%
Angry 45%
Calm 54.6%
Fear 45%
Confused 45%
Disgusted 45%
Happy 45.3%
Sad 45.1%
Surprised 45%

AWS Rekognition

Age 45-63
Gender Male, 54.8%
Sad 45.1%
Disgusted 45%
Confused 45%
Fear 45%
Happy 47.3%
Angry 45.1%
Calm 52.5%
Surprised 45%

AWS Rekognition

Age 23-35
Gender Female, 59.1%
Angry 2.8%
Sad 2.8%
Surprised 0.2%
Happy 9.8%
Confused 0.1%
Fear 0.2%
Disgusted 0.3%
Calm 83.8%

AWS Rekognition

Age 33-49
Gender Male, 54.3%
Calm 45%
Angry 54.9%
Disgusted 45%
Fear 45%
Happy 45%
Sad 45%
Surprised 45%
Confused 45%

AWS Rekognition

Age 39-57
Gender Female, 51.5%
Surprised 45%
Calm 52.4%
Angry 45.5%
Disgusted 45%
Fear 45%
Happy 45.2%
Sad 46.8%
Confused 45%

AWS Rekognition

Age 19-31
Gender Female, 50.8%
Calm 49.9%
Surprised 45%
Confused 45.5%
Angry 45.1%
Fear 45.1%
Disgusted 45.6%
Happy 45.1%
Sad 48.7%

AWS Rekognition

Age 21-33
Gender Male, 52.8%
Sad 45.6%
Disgusted 45.2%
Confused 45%
Fear 45.2%
Happy 45.7%
Angry 46.5%
Calm 51.7%
Surprised 45.1%

AWS Rekognition

Age 16-28
Gender Female, 53%
Disgusted 45%
Angry 45%
Happy 45.1%
Calm 54.7%
Fear 45%
Sad 45.1%
Confused 45%
Surprised 45%

AWS Rekognition

Age 47-65
Gender Male, 54.9%
Sad 45.8%
Happy 45.1%
Disgusted 45.1%
Fear 46.5%
Confused 45.1%
Surprised 45.1%
Angry 51.1%
Calm 46.2%

Feature analysis

Amazon

Person 98.8%
Painting 97.6%

Categories

Imagga

streetview architecture 93.5%
paintings art 4.9%
nature landscape 1.1%

Captions

Microsoft
created on 2019-10-29

an old photo of a person 71.1%
an old photo of a person 68.1%
an old photo 68%

Text analysis

Amazon

Yoetysurteny1930-
Rrindd
Rrindd ush
ush

Google

Regnadd i Zarety Burlent, 1930- P53
Regnadd
i
Zarety
Burlent,
1930-
P53