Human Generated Data

Title

Dutch Pastime

Date

18th-19th century

People

Artist: Joseph Collyer, British 1748 - 1827

Artist after: David Teniers II, Flemish 1610 - 1690

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G749

Human Generated Data

Title

Dutch Pastime

People

Artist: Joseph Collyer, British 1748 - 1827

Artist after: David Teniers II, Flemish 1610 - 1690

Date

18th-19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G749

Machine Generated Data

Tags

Amazon
created on 2019-11-04

Person 99.2
Human 99.2
Person 98.7
Person 98.5
Person 98.5
Art 98
Painting 97.7
Person 97.1
Person 96.5
Person 94.1
Person 88.7
Person 88.6
Person 86.4
Person 83.5
Person 81.6
Person 66.5
Person 65.4
Person 62.6

Clarifai
created on 2019-11-04

people 100
group 99.6
print 99.5
many 98.9
adult 98.5
man 97.8
illustration 97.8
engraving 96.4
military 96
cavalry 94.1
soldier 93.8
home 93.2
lithograph 92.8
art 92.8
group together 92.6
war 91.6
wear 88.5
vehicle 86
several 85.9
weapon 80.6

Imagga
created on 2019-11-04

architecture 44.1
ancient 31.2
temple 29.7
travel 29.6
structure 29
building 28.8
stone 28.5
history 27.8
city 26.6
landmark 26.2
old 25.1
tourism 24.8
cemetery 24.7
palace 23.4
fountain 22.6
tourist 21.1
monument 20.6
statue 18.3
sky 18
landscape 17.1
culture 17.1
historic 15.6
sculpture 14.5
column 14.3
brick 13.8
construction 13.7
wall 13.6
tower 13.4
castle 13.3
famous 13
religion 12.6
desert 12.3
historical 12.2
town 12.1
obelisk 12
church 12
medieval 11.5
antique 11.3
park 10.7
house 10.5
rock 10.4
tree 10.1
scenery 9.9
ruin 9.7
outdoors 9.7
grave 9.6
sand 9.5
snow 9.3
art 9.2
arch 9
fortress 9
fortification 8.9
village 8.8
ruins 8.8
past 8.7
heritage 8.7
water 8.7
day 8.6
buildings 8.5
vacation 8.2
scenic 7.9
urban 7.9
columns 7.9
roman 7.8
monk 7.8
traditional 7.5
vintage 7.5
trees 7.1
summer 7.1

Google
created on 2019-11-04

Microsoft
created on 2019-11-04

old 96.2
gallery 91.2
text 91
person 87.8
room 73.7
white 62.3
vintage 49.2
painting 27.7
picture frame 16.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 28-44
Gender Male, 50.2%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.8%
Confused 49.5%
Calm 50.2%

AWS Rekognition

Age 22-34
Gender Male, 50.1%
Fear 49.6%
Happy 50.1%
Angry 49.5%
Sad 49.5%
Confused 49.5%
Calm 49.8%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 52-70
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 50.3%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Fear 49.7%

AWS Rekognition

Age 21-33
Gender Male, 50%
Fear 49.5%
Sad 49.8%
Angry 49.5%
Disgusted 49.7%
Calm 49.9%
Happy 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 4-12
Gender Male, 50.3%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Fear 49.6%
Sad 50%
Calm 49.8%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 16-28
Gender Male, 50.3%
Happy 49.6%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Fear 50%
Surprised 49.5%
Sad 49.7%
Angry 49.6%

AWS Rekognition

Age 38-56
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.5%
Sad 50.4%
Calm 49.5%
Angry 49.5%
Fear 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Happy 49.5%
Calm 50.4%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Fear 49.5%

AWS Rekognition

Age 4-12
Gender Male, 50.5%
Angry 50.3%
Happy 49.5%
Fear 49.5%
Calm 49.5%
Sad 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.2%
Angry 49.5%
Happy 49.5%
Fear 49.7%
Surprised 49.6%
Calm 50.1%
Disgusted 49.5%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.2%
Surprised 49.5%
Sad 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.6%
Calm 49.6%
Fear 49.7%
Angry 49.9%

AWS Rekognition

Age 19-31
Gender Male, 50.4%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Angry 49.7%
Calm 50%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Fear 49.6%
Sad 50.4%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 30-46
Gender Female, 50%
Disgusted 49.5%
Fear 50.1%
Surprised 49.5%
Happy 49.5%
Sad 49.6%
Confused 49.7%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50.2%
Fear 50%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.6%
Happy 49.5%
Sad 49.6%
Angry 49.7%

AWS Rekognition

Age 22-34
Gender Female, 50.2%
Confused 49.5%
Fear 50%
Sad 49.7%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 18-30
Gender Female, 50.4%
Sad 49.6%
Happy 49.7%
Disgusted 49.5%
Fear 49.6%
Surprised 49.5%
Angry 50%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 24-38
Gender Female, 50.3%
Calm 49.6%
Happy 49.5%
Sad 49.9%
Disgusted 49.6%
Confused 49.6%
Angry 49.8%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 20-32
Gender Female, 50.2%
Fear 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Angry 50.4%
Calm 49.6%
Sad 49.5%

AWS Rekognition

Age 26-42
Gender Female, 50%
Fear 49.6%
Angry 49.8%
Disgusted 49.6%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Calm 49.8%
Sad 49.7%

Feature analysis

Amazon

Person 99.2%
Painting 97.7%