Human Generated Data

Title

Marie de Medici in her Carriage, Surrounded by Courtiers

Date

17th century

People

Artist: Pieter Nolpe, Dutch 1656 - 1721

Artist after: Jan Martszen de Jonge, Dutch 1609 - after 1647

Classification

Prints

Human Generated Data

Title

Marie de Medici in her Carriage, Surrounded by Courtiers

People

Artist: Pieter Nolpe, Dutch 1656 - 1721

Artist after: Jan Martszen de Jonge, Dutch 1609 - after 1647

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Art 98.7
Person 96.6
Human 96.6
Person 94.4
Person 94
Person 92.3
Horse 92
Animal 92
Mammal 92
Person 90.5
Person 90.3
Painting 90.1
Person 87.3
Horse 81
Canine 80.2
Dog 80.2
Pet 80.2
Person 79.8
Person 79.5
Person 79.1
Person 78
Person 72.5
Person 70.6
Horse 69.7
Person 69.6
Person 65.6
Horse 62.8
Person 52.1

Clarifai

people 100
print 99.9
group 99.7
illustration 99.4
adult 99.1
soldier 99
military 98.9
many 98.9
cavalry 98.7
man 98.4
art 97.7
war 97.6
weapon 97.5
lithograph 97
gun 96.2
engraving 95.6
army 95
administration 95
skirmish 94
leader 93.5

Imagga

graffito 100
decoration 98.5
grunge 43.4
vintage 39.7
old 38.3
antique 31.2
ancient 30.3
retro 29.5
texture 29.2
aged 28.1
wall 25.4
art 21.6
frame 20.8
paper 19.6
material 17.9
grungy 17.1
design 16.9
pattern 16.4
dirty 16.3
damaged 15.3
textured 14.9
border 14.5
old fashioned 14.3
structure 14
historic 13.8
grime 13.7
fracture 13.6
grain 12.9
detail 12.9
architecture 12.5
rusty 12.4
decorative 11.7
crumpled 11.7
decay 11.6
parchment 11.5
screen 11.5
surface 11.5
fire screen 11.3
floral 11.1
brown 11
balcony 11
drawing 11
paint 10.9
black 10.8
mottled 10.7
stains 10.7
faded 10.7
color 10.6
worn 10.5
blank 10.3
stone 10.2
graphic 10.2
money 10.2
wallpaper 10
history 9.8
ragged 9.8
aging 9.6
obsolete 9.6
dirt 9.5
weathered 9.5
flower 9.2
rough 9.1
world 8.9
building 8.7
crack 8.7
torn 8.7
detailed 8.7
empty 8.6
travel 8.5
page 8.4
style 8.2
carving 8.1
country 7.9
text 7.9
stained 7.7
spot 7.7
finance 7.6
textures 7.6
sketch 7.6
house 7.5
wood 7.5
artwork 7.3
window 7.3
backgrounds 7.3

Google

history 78.9
ancient history 66.5
art 64.1
artwork 54.3
mural 52.3
painting 52.1
stock photography 51.3

Microsoft

old 94.6
group 62.4
stone 6.7

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.5%
Surprised 49.6%
Calm 50.1%
Confused 49.6%
Sad 49.7%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%
Calm 49.6%
Happy 50%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 50.1%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Sad 49.7%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Happy 50%
Sad 49.9%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 50.2%
Happy 49.5%
Disgusted 49.6%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Sad 49.9%
Angry 49.6%
Happy 49.5%
Calm 49.6%
Surprised 49.5%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Surprised 49.5%
Sad 49.8%
Angry 49.7%
Confused 49.6%
Calm 49.7%
Happy 49.5%
Disgusted 49.7%

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Happy 49.5%
Sad 50.3%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Sad 49.7%
Calm 49.6%
Angry 49.8%
Confused 49.6%
Disgusted 49.6%
Happy 49.5%
Surprised 49.6%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Disgusted 49.6%
Calm 50.1%
Confused 49.5%
Sad 49.8%
Surprised 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50%
Calm 50.1%
Happy 49.6%
Surprised 49.6%
Sad 49.6%
Disgusted 49.5%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.3%
Sad 49.9%
Angry 49.7%
Confused 49.6%
Calm 49.7%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Surprised 49.5%
Confused 49.7%
Sad 50%
Disgusted 49.5%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 19-36
Gender Female, 50%
Happy 49.6%
Disgusted 49.5%
Calm 49.7%
Sad 50%
Angry 49.5%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Confused 49.6%
Angry 49.6%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.8%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Sad 49.5%
Confused 49.5%
Calm 50.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Calm 49.6%
Sad 50%
Disgusted 49.6%
Angry 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Sad 49.9%
Calm 49.8%
Disgusted 49.5%
Confused 49.6%
Happy 49.6%
Angry 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.7%
Sad 49.8%
Confused 49.6%
Happy 49.5%
Surprised 49.5%
Angry 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Calm 49.6%
Sad 50.1%
Disgusted 49.5%
Angry 49.7%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50%
Disgusted 49.6%
Happy 49.6%
Calm 49.6%
Confused 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Happy 49.5%
Calm 50.1%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 49.8%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Confused 49.8%
Calm 49.9%
Disgusted 49.6%
Angry 49.6%
Happy 49.5%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Angry 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%
Happy 49.7%
Sad 49.7%
Calm 49.8%

AWS Rekognition

Age 6-13
Gender Male, 50%
Angry 49.6%
Happy 49.5%
Calm 49.8%
Disgusted 49.7%
Sad 49.7%
Confused 49.6%
Surprised 49.6%

Feature analysis

Amazon

Person 96.6%
Horse 92%
Painting 90.1%
Dog 80.2%

Captions

Microsoft

an old photo of a group of people posing for the camera 75.2%
an old photo of a group of people posing for a picture 75.1%
a group of people posing for a photo 75%