Human Generated Data

Title

The Martyrdom of Saint Andrew

Date

17th century

People

Artist: Carlo Cesio, Italian 1625 - 1686

Artist after: Guido Reni, Italian 1575 - 1642

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Alpheus Hyatt Purchasing Fund, S1.70

Human Generated Data

Title

The Martyrdom of Saint Andrew

People

Artist: Carlo Cesio, Italian 1625 - 1686

Artist after: Guido Reni, Italian 1575 - 1642

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Alpheus Hyatt Purchasing Fund, S1.70

Machine Generated Data

Tags

Amazon
created on 2019-04-05

Person 99.3
Human 99.3
Person 98.2
Art 98
Painting 98
Person 97.4
Person 97.3
Person 93.2
Person 92.3
Person 92.3
Person 88.4
Person 87.3
Person 86.6
Person 85
Person 83.8
Person 72.2
Animal 67.2
Horse 67.2
Mammal 67.2
Person 62.8
Person 61.9
Person 44.4

Clarifai
created on 2018-04-19

people 100
group 99.8
art 99.5
print 99.5
illustration 99.1
many 99
adult 98.6
man 97.5
engraving 97.3
woman 95.5
administration 94.5
leader 94.1
painting 93.7
several 92.3
kneeling 90.9
veil 88.7
child 87.8
music 85.3
crowd 84.7
wear 84.2

Imagga
created on 2018-04-19

sketch 91.7
drawing 78.6
representation 56.6
grunge 30.7
forest 24.4
tree 23.8
vintage 23.2
snow 22.6
landscape 22.3
old 21.6
art 21.3
texture 18.1
flower 17.7
antique 17.6
aged 17.2
winter 17
silhouette 16.6
design 16.3
season 15.6
retro 15.6
leaf 15.6
frame 15
graphic 14.6
floral 14.5
branch 12.8
glass 12.7
painting 12.6
stain 12.5
pattern 12.3
backgrounds 12.2
decoration 12.2
cactus 11.9
style 11.9
dirty 11.7
aging 11.5
obsolete 11.5
canvas 11.4
outdoors 11.2
cold 11.2
plant 11.2
grain 11.1
paper 11
wood 10.8
scenery 10.8
ancient 10.4
structure 10.4
natural 10
effect 10
material 9.8
cool 9.8
textured 9.6
edge 9.6
frost 9.6
brown 9.6
scene 9.5
grungy 9.5
man 9.4
wallpaper 9.2
decorative 9.2
park 9.1
weather 9
sky 8.9
trees 8.9
painterly 8.9
smudged 8.9
distressed 8.8
grime 8.8
autumn 8.8
mottled 8.8
crack 8.7
decay 8.7
frozen 8.6
space 8.5
lake 8.2
border 8.1
rural 7.9
grass 7.9
artistic 7.8
black 7.8
fracture 7.8
detailed 7.7
woods 7.6
old fashioned 7.6
wilderness 7.6
element 7.4
plants 7.4
ornate 7.3
rough 7.3
detail 7.2
color 7.2
river 7.2
graffito 7.2
ice 7.1
spring 7.1
day 7.1
surface 7.1
architecture 7

Google
created on 2018-04-19

history 83.8
art 82.8
black and white 75.8
visual arts 59.1
tapestry 58.2
middle ages 56.6
artwork 55
monochrome 54.7
drawing 52.5

Microsoft
created on 2018-04-19

text 100
book 99.8
posing 99.6
old 98.4
group 96.9
outdoor 93.1
person 92.4
vintage 39.5
team 32.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 30-47
Gender Male, 54.5%
Angry 45.2%
Happy 45.4%
Surprised 45.2%
Sad 45.1%
Disgusted 45.4%
Confused 45.2%
Calm 53.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Surprised 45.1%
Calm 51.3%
Sad 47.3%
Disgusted 45.1%
Angry 45.7%
Happy 45.3%
Confused 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Disgusted 45.1%
Sad 53.6%
Angry 45.7%
Happy 45%
Surprised 45.1%
Calm 45.3%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Happy 50%
Sad 49.6%
Disgusted 45.1%
Calm 45.1%
Angry 45.1%
Surprised 45.1%
Confused 45%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Calm 51%
Confused 45.2%
Disgusted 47.5%
Sad 45.7%
Happy 45.1%
Surprised 45.2%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Female, 54.6%
Sad 51.7%
Happy 45.1%
Disgusted 45.1%
Surprised 45.1%
Angry 45.8%
Confused 45.2%
Calm 47%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 45.2%
Angry 46%
Happy 45.1%
Surprised 45.1%
Sad 53.1%
Calm 45.3%
Confused 45.2%

AWS Rekognition

Age 57-77
Gender Female, 53.3%
Happy 45.1%
Sad 54.1%
Confused 45.1%
Surprised 45.1%
Calm 45.4%
Angry 45.1%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Female, 50.8%
Confused 45.2%
Surprised 45.4%
Calm 50%
Sad 48.3%
Disgusted 45.2%
Angry 45.6%
Happy 45.2%

AWS Rekognition

Age 23-38
Gender Female, 50.8%
Disgusted 45.1%
Angry 45.1%
Happy 45.1%
Confused 45%
Surprised 45%
Calm 54.7%
Sad 45.1%

AWS Rekognition

Age 23-38
Gender Male, 52.1%
Happy 45%
Calm 45.1%
Confused 45.1%
Disgusted 45.1%
Sad 54.3%
Angry 45.4%
Surprised 45%

AWS Rekognition

Age 10-15
Gender Female, 51.7%
Happy 45.1%
Angry 45.7%
Calm 47.7%
Disgusted 45.8%
Sad 49.9%
Surprised 45.4%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Male, 54.6%
Angry 45.5%
Calm 50.9%
Happy 45.1%
Disgusted 45.2%
Surprised 45.2%
Sad 47.7%
Confused 45.4%

AWS Rekognition

Age 35-52
Gender Male, 53.2%
Angry 46.8%
Calm 47.4%
Happy 45.3%
Disgusted 46.2%
Surprised 45.2%
Sad 48.7%
Confused 45.5%

AWS Rekognition

Age 26-43
Gender Female, 51.4%
Surprised 45.5%
Sad 46.8%
Angry 45.8%
Confused 45.2%
Calm 46.2%
Happy 50.1%
Disgusted 45.4%

AWS Rekognition

Age 26-43
Gender Female, 53.9%
Sad 52.8%
Angry 45.4%
Happy 45.6%
Calm 45.6%
Surprised 45.1%
Disgusted 45.3%
Confused 45.2%

AWS Rekognition

Age 45-66
Gender Male, 52%
Happy 47.2%
Sad 46.9%
Confused 45.6%
Surprised 45.6%
Disgusted 45.7%
Calm 47%
Angry 47.1%

AWS Rekognition

Age 23-38
Gender Male, 50.9%
Calm 45.4%
Disgusted 45%
Angry 45%
Happy 45%
Sad 54.5%
Confused 45%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Sad 50.1%
Happy 49.5%
Disgusted 49.5%
Calm 49.8%
Angry 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 54.2%
Disgusted 45.7%
Surprised 46.1%
Angry 46.2%
Happy 45.3%
Calm 47.1%
Sad 49.3%
Confused 45.3%

AWS Rekognition

Age 57-77
Gender Male, 50.3%
Disgusted 49.6%
Calm 50.1%
Confused 49.5%
Sad 49.7%
Surprised 49.5%
Angry 49.6%
Happy 49.5%

Microsoft Cognitive Services

Age 54
Gender Male

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 64
Gender Male

Microsoft Cognitive Services

Age 41
Gender Female

Microsoft Cognitive Services

Age 73
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 42
Gender Male

Feature analysis

Amazon

Person 99.3%
Painting 98%
Horse 67.2%

Categories

Imagga

Text analysis

Amazon

Guide