Human Generated Data

Title

Musicians Playing Clarions, Trumpets, and Horns

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

Human Generated Data

Title

Musicians Playing Clarions, Trumpets, and Horns

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

Machine Generated Data

Tags

Amazon

Person 98.1
Human 98.1
Person 97.2
Animal 90.5
Horse 90.5
Mammal 90.5
Person 89.8
Painting 87
Art 87
Person 85.5
Horse 83.6
Person 82.8
Person 79.6
Wood 69.7
People 67
Horse 66.9
Person 63.7
Mural 61.7
Archaeology 59.8
Person 44

Clarifai

people 100
group 99.3
print 99
adult 98
many 96.7
military 96.6
man 96.2
illustration 96
engraving 95.1
soldier 94.8
cavalry 94.4
administration 93.4
war 93.2
weapon 93.1
leader 91.2
lithograph 90.9
art 90.9
mammal 88.4
uniform 86.1
skirmish 85

Imagga

graffito 100
decoration 91.7
sketch 32.3
drawing 31.4
zebra 22.2
representation 19.8
art 15.7
old 15.3
black 15
architecture 14.1
grunge 13.6
wildlife 13.4
safari 12.5
wild 12.2
detail 12.1
design 11.8
sculpture 11.5
animal 11.3
statue 10.5
horse 10.4
building 10.3
history 9.8
pattern 9.6
ancient 9.5
historic 9.2
travel 9.1
equine 8.9
snow 8.8
wall 8.7
culture 8.5
color 8.3
city 8.3
park 8.2
style 8.2
mammal 8.1
symbol 8.1
texture 7.6
stone 7.6
tourism 7.4
close 7.4
paint 7.2
holiday 7.2

Google

Microsoft

text 100
book 99.8
outdoor 99.7
posing 99
person 98.7
group 96.2
team 88.1
old 81.3
player 72.9
people 57.8

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 54.7%
Angry 45.7%
Disgusted 49.1%
Surprised 45.6%
Confused 45.6%
Happy 46%
Sad 45.4%
Calm 47.6%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Calm 48.2%
Angry 45.5%
Confused 45.1%
Surprised 45.2%
Sad 46.3%
Disgusted 45%
Happy 49.7%

AWS Rekognition

Age 26-43
Gender Male, 53%
Surprised 45.7%
Disgusted 46.6%
Happy 45.7%
Sad 46.8%
Calm 47.3%
Confused 45.9%
Angry 47%

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Confused 45.2%
Sad 45.6%
Angry 45.9%
Disgusted 45.2%
Calm 50.8%
Surprised 45.6%
Happy 46.6%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.1%
Sad 45.9%
Happy 45.3%
Calm 53.3%
Disgusted 45%
Angry 45.2%
Surprised 45.1%

AWS Rekognition

Age 45-65
Gender Male, 52.9%
Surprised 45.2%
Angry 45.1%
Happy 45.2%
Disgusted 45%
Calm 54.2%
Sad 45.2%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 52.7%
Disgusted 45.2%
Confused 45.4%
Calm 46.3%
Sad 49.9%
Angry 47.8%
Happy 45.1%
Surprised 45.3%

Feature analysis

Amazon

Person 98.1%
Horse 90.5%
Painting 87%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 94.7%
a group of people posing for a photo 94.6%
a vintage photo of a group of people posing for a picture 94.5%