Human Generated Data

Title

Lionesses and their Cubs

Date

19th century

People

Artist: Gustave Doré, French 1832 - 1883

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Contribution of John H. Hall to Friends of Art, Architecture and Music, M9705

Human Generated Data

Title

Lionesses and their Cubs

People

Artist: Gustave Doré, French 1832 - 1883

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Contribution of John H. Hall to Friends of Art, Architecture and Music, M9705

Machine Generated Data

Tags

Amazon
created on 2019-03-22

Art 97.5
Drawing 97.5
Human 97.5
Painting 97.5
Sketch 90.8
Person 89.9
Person 81.2
Person 66.6
Person 63.9
Person 43.4

Clarifai
created on 2019-03-22

people 99.8
art 99.6
group 99.2
engraving 99
print 98.7
illustration 98.7
adult 97.3
leader 97.1
veil 96.4
man 95.6
painting 94.4
many 92.1
wear 91.8
several 91.3
furniture 89.1
religion 87.7
etching 87.4
woman 86.6
two 86.5
one 85.9

Imagga
created on 2019-03-22

sketch 92.8
drawing 74.3
representation 56.9
art 29.6
old 25.1
ancient 22.5
sculpture 21.1
architecture 20.4
decoration 19.3
paper 16.5
grunge 16.2
history 16.1
detail 15.3
vintage 14.9
antique 14.8
historic 13.7
carving 13.3
texture 13.2
retro 13.1
design 13
religion 12.5
statue 12.5
structure 12.5
pattern 12.3
culture 12
landmark 11.7
historical 11.3
stone 11.2
travel 10.6
artistic 10.4
monument 10.3
famous 10.2
symbol 10.1
tourism 9.9
textured 9.6
style 9.6
building 9.5
old fashioned 9.5
frame 9.2
aged 9
backgrounds 8.9
graphic 8.8
temple 8.6
ornament 8.6
figure 8.5
marble 8.5
religious 8.4
element 8.3
backdrop 8.2
graffito 8.1
mask 7.9
holiday 7.9
traditional 7.5
city 7.5
man 7.4
fountain 7.3
shape 7.2
face 7.1

Google
created on 2019-03-22

Microsoft
created on 2019-03-22

text 96.9
book 93.8
stone 3.5
sketch 3.5
drawing 3.4
art 2.2
illustration 2
archaeology 0.9

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 20-38
Gender Female, 54.2%
Sad 52.4%
Surprised 45.2%
Calm 45.4%
Angry 45.4%
Happy 46.3%
Confused 45.1%
Disgusted 45.1%

AWS Rekognition

Age 16-27
Gender Female, 54.9%
Angry 45%
Surprised 45%
Disgusted 45%
Sad 55%
Calm 45%
Happy 45%
Confused 45%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Disgusted 45.8%
Happy 45.2%
Calm 52.3%
Sad 45.5%
Angry 45.3%
Confused 45.2%
Surprised 45.7%

AWS Rekognition

Age 14-25
Gender Female, 54.9%
Surprised 45.9%
Disgusted 45.1%
Angry 45.6%
Sad 51.1%
Happy 45.1%
Confused 45.6%
Calm 46.6%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Sad 53.4%
Surprised 45.1%
Angry 45.3%
Disgusted 45%
Confused 45.2%
Calm 45.9%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.5%
Angry 45.2%
Disgusted 45%
Happy 45.1%
Sad 53.9%
Surprised 45.1%
Calm 45.7%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Female, 54.2%
Calm 46%
Confused 45.2%
Angry 45.2%
Sad 53.2%
Surprised 45.1%
Disgusted 45.2%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Sad 52.4%
Happy 45.1%
Calm 47.2%
Angry 45.1%
Disgusted 45%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 53.3%
Angry 45.3%
Calm 45.1%
Disgusted 45.1%
Sad 54.2%
Happy 45.1%
Surprised 45.1%
Confused 45.1%

AWS Rekognition

Age 14-25
Gender Female, 54.7%
Angry 45.2%
Happy 45.2%
Confused 45.1%
Sad 54%
Surprised 45.1%
Calm 45.4%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Female, 53.5%
Disgusted 45.1%
Confused 45.3%
Sad 51.3%
Surprised 45.7%
Calm 46.2%
Angry 45.9%
Happy 45.5%

AWS Rekognition

Age 23-38
Gender Female, 52.5%
Angry 45.6%
Surprised 45.6%
Disgusted 48.3%
Sad 47.5%
Calm 46.6%
Happy 46.1%
Confused 45.4%

AWS Rekognition

Age 9-14
Gender Female, 54.7%
Confused 45.2%
Angry 46.2%
Disgusted 45.3%
Sad 50.6%
Calm 47.3%
Happy 45.1%
Surprised 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.2%
Disgusted 45.1%
Sad 52.6%
Surprised 45%
Happy 45%
Calm 47%
Angry 45.2%
Confused 45%

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 22
Gender Female

Feature analysis

Amazon

Painting 97.5%
Person 89.9%

Categories

Captions

Microsoft
created on 2019-03-22

an old photo of a person 54.6%
old photo of a person 48.3%
an old photo of a book 26.4%

Text analysis

Amazon

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