Human Generated Data

Title

Cavalry Squadron

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

Cavalry Squadron

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

Art 98.9
Painting 96.2
Person 93.3
Human 93.3
Person 85.6
Person 62.9
Person 62.8
Person 60.3

Clarifai

people 100
group 99.7
print 99.6
many 99.3
adult 98.9
man 98.3
soldier 98.1
art 98.1
weapon 97.7
cavalry 97.6
engraving 97.3
military 97.2
illustration 96.9
administration 94.3
war 94.2
sword 93.4
skirmish 93.2
force 92.7
gun 92.2
slavery 91.9

Imagga

decoration 38.8
graffito 36.9
old 34.1
vintage 33.9
grunge 28.9
texture 27.8
retro 26.2
ancient 24.2
container 22.9
antique 22.5
design 20.5
paper 20.4
art 19.7
pattern 18.5
damask 16.1
aged 15.4
wallet 15.1
brown 14.7
detail 14.5
decor 14.1
style 13.3
upholstery 13.3
fabric 13
case 12.9
money 12.8
travel 12.7
arabesque 12.6
wallpaper 12.2
floral 11.9
finance 11.8
dirty 11.7
color 11.7
textile 11.4
covering 11.1
culture 11.1
bag 10.4
black 10.2
note 10.1
cash 10.1
world 9.7
doormat 9.7
textured 9.6
tray 9.4
frame 9.2
artwork 9.1
close 9.1
business 9.1
backdrop 9.1
border 9
gold 9
currency 9
material 8.9
wall 8.8
symbol 8.7
fire screen 8.7
architecture 8.6
map 8.5
grungy 8.5
screen 8.5
decorative 8.3
wood 8.3
china 8.1
history 8
graphic 8
mat 7.7
worn 7.6
receptacle 7.6
communication 7.6
traditional 7.5
banking 7.4
ornate 7.3
rough 7.3
protective covering 7.3
bank 7.2
creative 7.1

Google

Microsoft

text 100
book 99.9
outdoor 99.8
group 92.2
posing 89.8
team 33.1

Face analysis

Amazon

AWS Rekognition

Age 38-57
Gender Female, 52.9%
Happy 45.5%
Calm 50.9%
Sad 46.6%
Confused 45.2%
Disgusted 45.2%
Surprised 45.4%
Angry 46.2%

AWS Rekognition

Age 45-63
Gender Male, 54.3%
Confused 45.2%
Angry 45.1%
Surprised 45.1%
Happy 45.2%
Calm 53.6%
Disgusted 45%
Sad 45.6%

AWS Rekognition

Age 35-52
Gender Male, 54%
Calm 52.6%
Surprised 45.3%
Disgusted 45.1%
Sad 45.3%
Angry 46.1%
Confused 45.1%
Happy 45.5%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Disgusted 45.2%
Sad 45.4%
Confused 45.2%
Calm 52.9%
Surprised 45.2%
Angry 45.4%
Happy 45.6%

AWS Rekognition

Age 57-77
Gender Female, 51%
Happy 45.1%
Angry 45.4%
Disgusted 45.1%
Sad 48.4%
Surprised 45.2%
Confused 45.2%
Calm 50.5%

AWS Rekognition

Age 23-38
Gender Male, 54.4%
Angry 47.8%
Disgusted 45.3%
Confused 45.6%
Surprised 45.7%
Happy 45.6%
Calm 48.8%
Sad 46.3%

AWS Rekognition

Age 30-47
Gender Male, 54.6%
Surprised 45.3%
Angry 45.4%
Happy 45.1%
Calm 52.9%
Disgusted 45.1%
Confused 45.5%
Sad 45.8%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Angry 46.7%
Disgusted 45.2%
Surprised 45.2%
Calm 49.2%
Confused 45.2%
Happy 48.1%
Sad 45.5%

AWS Rekognition

Age 35-52
Gender Male, 96.4%
Disgusted 1.9%
Surprised 6.8%
Calm 57.5%
Happy 2.2%
Confused 5.9%
Sad 17%
Angry 8.7%

AWS Rekognition

Age 26-44
Gender Male, 54.5%
Surprised 45.2%
Angry 50.2%
Sad 46%
Calm 48%
Disgusted 45.1%
Confused 45.2%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.6%
Calm 47.7%
Sad 45.7%
Surprised 45.3%
Angry 46.4%
Disgusted 45.5%
Happy 49.2%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 55.9%
Angry 18.7%
Disgusted 1.1%
Surprised 4.1%
Confused 2.4%
Happy 3.8%
Sad 62.8%
Calm 7.1%

Feature analysis

Amazon

Painting 96.2%
Person 93.3%

Captions

Microsoft

a group of people posing for a photo 88.9%
a group of people posing for the camera 88.8%
a group of people posing for a picture 88.7%

Text analysis

Amazon

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