Human Generated Data

Title

Christ Disputing in the Temple

Date

1670

People

Artist: Melchior Küsel, German 1626 - 1683

Artist after: Johann Wilhelm Baur, German 1607 - 1641

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, S11.83.1

Human Generated Data

Title

Christ Disputing in the Temple

People

Artist: Melchior Küsel, German 1626 - 1683

Artist after: Johann Wilhelm Baur, German 1607 - 1641

Date

1670

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, S11.83.1

Machine Generated Data

Tags

Amazon
created on 2019-04-03

Human 99.7
Person 99.7
Person 99.1
Art 99.1
Painting 99.1
Person 99
Person 97.4
Person 95.5
Person 95.3
Person 94.7
Person 91
Person 90.6
Person 89.2
Person 81.4
Person 78.2
Person 77.7
Person 76.3
Person 73.4
Person 67.4
Drawing 64
Person 64
Person 62.9
Person 61.1
People 58.2
Person 44
Person 41.9

Clarifai
created on 2018-03-23

people 100
print 99.8
many 99.7
group 99.7
engraving 99.5
adult 99.3
art 98.6
administration 97.5
man 96.9
leader 96.8
illustration 96.4
soldier 92.6
etching 87.9
wear 87.3
royalty 86.6
military 85.5
cavalry 85
woman 83.2
weapon 81.8
several 79.6

Imagga
created on 2018-03-23

sketch 81.9
drawing 68.7
representation 47.2
vintage 31.4
old 30.6
grunge 29.8
antique 25.7
retro 25.4
art 21.7
frame 20.8
architecture 20.5
paper 19.6
design 19.1
ancient 18.2
texture 18.1
history 17.9
building 16.9
paint 15.4
border 15.4
dirty 15.4
structure 15.2
black 15
rough 14.6
pattern 14.4
damaged 13.3
graphic 13.1
text 13.1
aged 12.7
decoration 12.6
grungy 12.3
house 12
letter 11.9
finance 11.8
city 11.6
material 11.6
messy 11.6
business 11.5
film 11.2
sky 10.8
fence 10.7
strip 10.7
layer 10.6
rust 10.6
edge 10.6
dirt 10.5
screen 10.3
money 10.2
wall 10.1
currency 9.9
layered 9.8
mess 9.8
photographic 9.8
noise 9.8
scratch 9.8
movie 9.7
us 9.6
collage 9.6
urban 9.6
mask 9.6
negative 9.6
old fashioned 9.5
weathered 9.5
historical 9.4
dollar 9.3
historic 9.2
postmark 8.9
highly 8.9
designed 8.8
postage 8.8
computer 8.8
frames 8.8
slide 8.8
stamp 8.7
detailed 8.7
architectural 8.6
mail 8.6
bill 8.6
construction 8.5
culture 8.5
space 8.5
rich 8.4
camera 8.3
exterior 8.3
entertainment 8.3
element 8.3
bank 8.2
style 8.2
landmark 8.1
backgrounds 8.1
digital 8.1
symbol 8.1
noisy 7.9
scratches 7.9
postal 7.8
your 7.7
snow 7.4
freight car 7.4
cash 7.3
ornate 7.3
color 7.2
wheeled vehicle 7.2
picket fence 7.1

Google
created on 2018-03-23

Microsoft
created on 2018-03-23

old 87
posing 35.4
altar 35.2
vintage 28

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Disgusted 49.6%
Surprised 49.5%
Angry 49.5%
Sad 50.3%
Happy 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Surprised 49.5%
Angry 49.6%
Confused 49.6%
Sad 49.8%
Disgusted 49.5%
Calm 49.9%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Calm 49.5%
Sad 49.5%
Surprised 49.5%
Happy 49.5%
Angry 50.4%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.5%
Angry 49.9%
Surprised 49.5%
Disgusted 49.6%
Sad 49.5%
Calm 49.8%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Disgusted 49.6%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.2%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Calm 50%
Sad 49.6%
Surprised 49.6%
Happy 49.5%
Angry 49.6%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 45-63
Gender Male, 50.5%
Surprised 49.6%
Angry 49.7%
Confused 49.6%
Sad 49.8%
Disgusted 49.5%
Calm 49.8%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Calm 49.8%
Sad 49.9%
Surprised 49.5%
Happy 49.6%
Angry 49.6%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Disgusted 49.5%
Sad 50.1%
Calm 49.5%
Angry 49.8%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.7%
Confused 49.6%
Disgusted 49.6%
Sad 49.8%
Calm 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 49.8%
Calm 49.8%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 38-59
Gender Female, 50.2%
Disgusted 49.6%
Sad 49.5%
Calm 50.3%
Angry 49.6%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Calm 50%
Surprised 49.6%
Confused 49.6%
Sad 49.7%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.7%
Painting 99.1%

Text analysis

Amazon

CM
LIBane
Piuiteo
Piuiteo CM lehorusalyacit Nelthiot recit
lehorusalyacit
Nelthiot
recit
IPLE