Human Generated Data

Title

Maximilian Bestows the Coat-of-Arms of the Artist upon Albrecht Dürer
Date

19th century
People

Artist: Eugen Napoleon Neureuther, German 1806 - 1882
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13145

Human Generated Data

Title

Maximilian Bestows the Coat-of-Arms of the Artist upon Albrecht Dürer

People

Artist: Eugen Napoleon Neureuther, German 1806 - 1882

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13145

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Art 97.2
Painting 97.2
Human 96.5
Person 96.5
Person 89.1
Person 81.3
Person 77
Person 61.4
Person 60
Indoors 57.2
Room 57.2

Clarifai
created on 2018-03-16

illustration 100
art 99.8
print 99.7
people 99.4
engraving 99.2
painting 98.1
picture frame 97.4
antique 95.5
old 95.1
woodcut 95
group 94.5
man 94.3
adult 93.2
vintage 92.6
etching 91.2
wear 89.5
visuals 87.2
retro 86.7
design 85.8
portrait 85.3

Imagga
created on 2018-03-16

stucco 61.1
grunge 54.5
old 48.8
texture 47.9
vintage 44.7
antique 41.7
aged 39.8
dirty 38.9
retro 37.7
rough 37.4
frame 32.5
grungy 32.3
pattern 30.8
design 29.3
paper 29.1
paint 29
textured 28.1
weathered 27.6
material 26.8
art 26.4
wallpaper 26
ancient 26
wall 25
structure 23.9
damaged 23.9
border 23.5
blank 23.2
messy 22.2
brown 21.4
parchment 21.1
worn 20.1
backdrop 19.8
rusty 19.1
surface 18.5
decoration 18.3
text 17.5
rust 17.3
stained 17.3
aging 17.3
empty 17.2
canvas 17.1
backgrounds 17
detail 16.9
stone 16.8
gravestone 16.4
color 16.1
memorial 16.1
space 15.5
torn 15.5
decay 15.4
stain 15.4
graphic 15.3
obsolete 14.4
sheet 14.1
page 13.9
book 13.8
edge 13.5
black 13.2
scratch 12.7
burnt 12.6
decorative 12.5
age 11.4
close 11.4
floral 11.1
snow 11.1
lace 11
yellow 10.6
detailed 10.6
digital 10.5
ornament 10.3
flower 10
sepia 9.7
style 9.6
spot 9.6
screen 9.6
rock 9.6
dirt 9.6
document 9.3
gray 9
noisy 8.9
mess 8.8
shabby 8.8
noise 8.8
ragged 8.8
layer 8.7
negative 8.7
artistic 8.7
cardboard 8.6
mask 8.6
fountain 8.4
grain 8.3
note 8.3
letter 8.3
effect 8.2
history 8.1
layered 7.9
photographic 7.8
slide 7.8
leaf 7.8
concrete 7.7
old fashioned 7.6
poster 7.6
dark 7.5
iron 7.5
element 7.4
chandelier 7.4
cover 7.4
ornate 7.3
metal 7.2
decor 7.1

Google
created on 2018-03-16

picture frame 79.7
history 75.2
black and white 67.4
visual arts 58.4
artwork 57.4
stock photography 54.2
art 51.7

Microsoft
created on 2018-03-16

gallery 91.5
text 86.2
old 84.5
room 83.6
painting 40.3
stone 3.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Sad 50.4%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Confused 49.5%
Sad 50.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.5%
Surprised 49.5%
Calm 50.2%
Happy 49.5%
Angry 49.6%
Sad 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Surprised 49.5%
Disgusted 49.6%
Confused 49.6%
Sad 49.8%
Angry 49.6%
Happy 49.5%
Calm 49.9%

AWS Rekognition

Age 4-7
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Sad 50.3%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.2%
Calm 49.7%
Angry 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 35-53
Gender Male, 50.3%
Happy 49.5%
Confused 49.6%
Sad 49.8%
Angry 49.6%
Calm 49.7%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Confused 49.5%
Angry 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 50.2%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Sad 50.2%
Calm 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.6%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Sad 50.3%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Calm 49.7%
Confused 49.6%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Angry 49.7%
Sad 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Disgusted 50.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.5%
Surprised 49.6%
Happy 49.6%
Disgusted 49.9%
Calm 49.7%
Sad 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50%
Calm 49.6%
Angry 49.6%
Happy 49.6%
Disgusted 49.5%
Sad 50.1%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50.4%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Disgusted 49.7%
Calm 49.9%
Confused 49.6%
Surprised 49.6%
Sad 49.6%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.5%
Sad 49.5%
Angry 49.5%
Calm 50.4%
Happy 49.5%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Angry 49.6%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.9%
Sad 49.8%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 49.5%
Disgusted 49.6%
Calm 49.7%
Surprised 49.6%
Sad 49.7%
Confused 49.8%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.5%
Sad 50%
Happy 49.7%
Disgusted 49.5%
Angry 49.8%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Confused 49.6%
Sad 49.6%
Calm 49.7%
Disgusted 49.7%
Happy 49.8%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Angry 49.5%
Sad 50.2%
Happy 49.5%
Surprised 49.5%
Confused 49.6%
Disgusted 49.5%
Calm 49.7%

AWS Rekognition

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

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Confused 49.5%
Surprised 49.5%
Calm 50%
Sad 49.7%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Painting 97.2%
Person 96.5%

Captions

Microsoft
created on 2018-03-16

a vintage photo of a painting 62.7%
a painting of a person 62.6%
a vintage photo of a person 62.5%