Human Generated Data

Title

Almanac for the Year 1700

Date

1699

People

Artist: Antoine Trouvain, French 1656 - 1708

Publisher: Nicolas I. Langlois, French 1640 - 1703

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.210

Human Generated Data

Title

Almanac for the Year 1700

People

Artist: Antoine Trouvain, French 1656 - 1708

Publisher: Nicolas I. Langlois, French 1640 - 1703

Date

1699

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.210

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Art 93.8
Painting 93.8
Human 79.8
Person 79.8
Person 71.5
Text 67.8
Person 64.2
Person 62.5
Mammal 60.1
Animal 60.1
Horse 60.1
Person 43

Clarifai
created on 2018-02-19

people 100
print 99.8
group 99.5
illustration 99.5
man 99.2
engraving 99.1
many 98.9
art 98.8
adult 98.7
leader 97.4
administration 97.2
one 97.1
weapon 96.9
cavalry 95.9
woodcut 93.8
painting 92.6
soldier 92.3
war 92
chair 91.4
etching 89.3

Imagga
created on 2018-02-19

vintage 37.3
old 37
art 32.6
antique 32.1
ancient 32
paper 29.8
binding 28.7
texture 27.8
grunge 27.3
memorial 24.7
brass 23.8
retro 23
structure 22.4
design 20.8
history 20.6
aged 19.9
pattern 19.2
arabesque 19
cash 17.4
money 17
frame 16.8
rug 16.7
bank 16.1
decoration 15.9
dollar 15.8
wall 15.4
currency 15.3
culture 14.5
finance 14.4
carving 14.4
tile 13.7
border 13.6
mosaic 13.6
parchment 13.5
covering 13.4
style 13.4
rich 13
close 12.6
religion 12.6
furnishing 12.5
decor 12.4
banking 12
historic 11.9
brown 11.8
decorative 11.7
business 11.6
bill 11.4
textured 11.4
blank 11.2
page 11.2
letter 11
collection 10.8
element 10.8
backdrop 10.7
travel 10.6
damaged 10.5
rusty 10.5
text 10.5
east 10.3
note 10.1
artwork 10.1
traditional 10
dirty 10
material 9.8
one 9.7
obsolete 9.6
exchange 9.6
book 9.2
stone 9.1
gold 9.1
financial 8.9
stamp 8.9
faded 8.8
banknote 8.7
hundred 8.7
temple 8.7
us 8.7
rustic 8.6
ornament 8.6
fabric 8.6
architecture 8.6
grungy 8.5
wealth 8.1
detail 8.1
postmark 7.9
postage 7.9
creation 7.9
manuscript 7.8
carved 7.8
empty 7.7
dollars 7.7
stained 7.7
pay 7.7
loan 7.7
mail 7.7
wallpaper 7.7
old fashioned 7.6
ornamental 7.6
historical 7.5
sculpture 7.5
city 7.5
monument 7.5
document 7.4
closeup 7.4
symbol 7.4
ornate 7.3
graphic 7.3

Google
created on 2018-02-19

Microsoft
created on 2018-02-19

text 98.5
old 91.4
vintage 31.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-55
Gender Male, 54.6%
Confused 45.1%
Sad 45.7%
Disgusted 45.1%
Angry 45.2%
Calm 45.4%
Surprised 45.1%
Happy 53.3%

AWS Rekognition

Age 35-52
Gender Male, 53.8%
Confused 45.4%
Surprised 45.8%
Calm 50.3%
Happy 46.5%
Disgusted 45.3%
Angry 45.8%
Sad 45.9%

AWS Rekognition

Age 35-52
Gender Male, 53.4%
Disgusted 45.2%
Happy 51.4%
Confused 45.2%
Surprised 45.3%
Sad 45.7%
Calm 46.9%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Female, 52.3%
Angry 45.3%
Sad 53.4%
Confused 45.3%
Disgusted 45.1%
Surprised 45.2%
Happy 45.1%
Calm 45.6%

AWS Rekognition

Age 26-43
Gender Male, 52.3%
Disgusted 45.1%
Angry 45.4%
Calm 52.5%
Happy 45.4%
Sad 46.1%
Confused 45.2%
Surprised 45.3%

AWS Rekognition

Age 23-38
Gender Male, 51%
Angry 45.6%
Calm 47.2%
Surprised 45.7%
Disgusted 45.3%
Sad 50.6%
Happy 45.3%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Confused 45.2%
Happy 45.3%
Sad 52.6%
Surprised 45.2%
Disgusted 46%
Angry 45.3%
Calm 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Happy 45.6%
Sad 49.9%
Angry 45.6%
Calm 47.9%
Confused 45.3%
Disgusted 45.1%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Male, 51.5%
Confused 45.5%
Happy 47.3%
Sad 50.3%
Surprised 45.7%
Disgusted 45.3%
Angry 45.5%
Calm 45.5%

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Surprised 46.2%
Calm 46.1%
Angry 45.5%
Disgusted 47.9%
Happy 47.6%
Confused 46.3%
Sad 45.4%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Calm 48.3%
Angry 45.6%
Confused 45.3%
Surprised 45.3%
Sad 49.7%
Disgusted 45.2%
Happy 45.7%

AWS Rekognition

Age 38-59
Gender Female, 50.8%
Confused 45.3%
Sad 50.5%
Calm 46.2%
Disgusted 45.3%
Surprised 45.2%
Angry 46.8%
Happy 45.7%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Sad 49.3%
Calm 47.4%
Surprised 45.7%
Angry 46.3%
Happy 45.5%
Confused 45.5%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Male, 51.5%
Happy 45.4%
Sad 49.5%
Angry 45.3%
Calm 49%
Confused 45.3%
Disgusted 45.2%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54%
Disgusted 45.3%
Calm 51.7%
Angry 45.8%
Happy 45.3%
Confused 45.2%
Sad 46.3%
Surprised 45.4%

AWS Rekognition

Age 23-38
Gender Female, 54.4%
Angry 45.2%
Happy 51%
Calm 46.3%
Disgusted 45.2%
Surprised 45.3%
Sad 46.6%
Confused 45.3%

Feature analysis

Amazon

Painting 93.8%
Person 79.8%
Horse 60.1%

Categories