Human Generated Data

Title

Hurlers

Date

1675

People

Artist: Antoinette Bouzonnet-Stella, French 1641 - 1676

Artist after: Antoine Bouzonnet-Stella, French 1637 - 1682

Artist after: Giulio Romano, Italian 1499? - 1546

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.255.5

Human Generated Data

Title

Hurlers

People

Artist: Antoinette Bouzonnet-Stella, French 1641 - 1676

Artist after: Antoine Bouzonnet-Stella, French 1637 - 1682

Artist after: Giulio Romano, Italian 1499? - 1546

Date

1675

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.255.5

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Person 98.4
Human 98.4
Person 98.3
Art 98
Person 94.6
Painting 90.6
Person 84.5
Person 81.2
Person 80.2
Person 79.2
Person 76
Person 75.2
Person 71
Person 70.6
Person 70.2
Person 64.5
Person 62.4
Person 55.3
Person 48.8
Person 47.9

Clarifai
created on 2018-03-16

people 100
group 99.6
adult 99.2
many 99.1
military 98.8
print 98
man 97.8
soldier 97.7
uniform 95.4
weapon 94.7
war 94.5
group together 94.4
administration 93.9
woman 93.2
military uniform 91.8
leader 91.1
wear 89.1
gun 88.8
illustration 88.8
outfit 88.3

Imagga
created on 2018-03-16

graffito 100
decoration 100
zebra 31.7
equine 17.4
art 16.4
wild 15.7
grunge 15.3
old 13.9
safari 13.5
landscape 13.4
travel 13.4
wildlife 13.4
black 13.2
sand 12.5
pattern 12.3
sky 12.1
texture 11.8
sculpture 11.7
history 11.6
tourism 11.5
ancient 11.2
beach 11
tree 10.8
park 10.7
outdoor 10.7
detail 10.5
summer 10.3
architecture 10.1
water 10
statue 9.6
stone 9.4
winter 9.4
animals 9.3
drawing 9.2
design 9
game 8.9
snow 8.4
color 8.3
outdoors 8.2
wall 8.1
scenery 8.1
religion 8.1
holiday 7.9
horse 7.6
striped 7.5
frame 7.5
vacation 7.4
natural 7.4
dirty 7.2
painting 7.2
mammal 7.2
grass 7.1
carving 7.1
spring 7.1

Google
created on 2018-03-16

Microsoft
created on 2018-03-16

posing 98.8
person 97.8
outdoor 97.2
text 96.8
old 96.7
group 95
team 72.8
white 69.8
black 65.8
vintage 50.2
clothes 17.7

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Female, 54%
Confused 45.3%
Angry 45.6%
Sad 45.7%
Calm 51.8%
Disgusted 45.8%
Surprised 45.5%
Happy 45.5%

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Surprised 45.4%
Calm 47.6%
Sad 50.3%
Angry 45.8%
Happy 45.2%
Disgusted 45.2%
Confused 45.5%

AWS Rekognition

Age 35-52
Gender Male, 53.1%
Disgusted 45.6%
Surprised 45.4%
Sad 45.3%
Confused 45.2%
Happy 45.3%
Angry 45.4%
Calm 52.9%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Disgusted 45.1%
Calm 49.9%
Sad 49.1%
Angry 45.3%
Confused 45.2%
Surprised 45.2%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Happy 45.1%
Confused 45.5%
Sad 49.8%
Surprised 45.3%
Calm 48%
Disgusted 45.3%
Angry 46%

AWS Rekognition

Age 35-52
Gender Female, 51.9%
Happy 46.3%
Angry 48.3%
Disgusted 45.5%
Sad 47.7%
Surprised 45.5%
Confused 45.5%
Calm 46.2%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Angry 45.6%
Happy 45.3%
Calm 45.9%
Disgusted 52.1%
Surprised 45.4%
Sad 45.4%
Confused 45.3%

AWS Rekognition

Age 48-68
Gender Female, 53.7%
Calm 47%
Surprised 47%
Disgusted 45.7%
Sad 48%
Angry 45.6%
Confused 45.6%
Happy 46.2%

AWS Rekognition

Age 26-43
Gender Male, 54%
Confused 45.5%
Happy 45.5%
Sad 45.3%
Surprised 47.6%
Disgusted 46.3%
Angry 45.7%
Calm 49.1%

AWS Rekognition

Age 29-45
Gender Male, 53.7%
Surprised 45%
Angry 45%
Happy 45%
Calm 54.8%
Disgusted 45%
Confused 45%
Sad 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Confused 45.1%
Sad 54.2%
Happy 45.1%
Surprised 45.1%
Angry 45.1%
Disgusted 45%
Calm 45.4%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Confused 45.4%
Sad 47.6%
Happy 45.2%
Calm 46.3%
Disgusted 46.7%
Angry 48.4%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Female, 51.9%
Calm 51.8%
Disgusted 45.2%
Sad 45.9%
Happy 45.2%
Angry 46.6%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Confused 45.7%
Sad 45.8%
Angry 46.1%
Disgusted 48.7%
Calm 47.7%
Surprised 45.8%
Happy 45.3%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Disgusted 45%
Confused 45.2%
Calm 45.1%
Sad 54.6%
Angry 45.1%
Happy 45%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 51.1%
Angry 45.1%
Disgusted 45%
Sad 54.3%
Calm 45.3%
Surprised 45.1%
Happy 45%
Confused 45.1%

Microsoft Cognitive Services

Age 72
Gender Male

Feature analysis

Amazon

Person 98.4%
Painting 90.6%