Human Generated Data

Title

Pentecost

Date

17th century

People

Artist: Unidentified Artist,

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, 1898.536

Human Generated Data

Title

Pentecost

People

Artist: Unidentified Artist,

Date

17th century

Classification

Drawings

Machine Generated Data

Tags

Amazon
created on 2020-04-25

Art 97.5
Painting 97.5
Person 85.9
Human 85.9
Person 79
Person 63.3
Person 58.2
Archaeology 56.3

Clarifai
created on 2020-04-25

illustration 99.2
art 98.9
ancient 96.3
old 96
manuscript 94.4
desktop 94
vintage 93.5
people 93.1
antique 92.4
retro 92
wall 89
man 88.9
cavalry 88.5
spar 88.2
sword 86.5
mythology 85.2
warrior 84.8
skirmish 84.6
religion 82.3
chalk out 81.5

Imagga
created on 2020-04-25

graffito 70.5
decoration 59.6
art 35.1
sculpture 33.5
tile 32.1
ancient 32
carving 31.7
old 28.6
history 26
vintage 24.8
temple 23.9
culture 23.1
stone 21.3
architecture 21.1
antique 20.3
grunge 18.7
retro 18
pattern 17.1
religion 17.1
texture 16.7
travel 16.2
statue 16.2
paper 15.7
detail 14.5
traditional 14.1
wall 13.7
style 13.4
monument 13.1
historic 11.9
building 11.9
carved 11.7
heritage 11.6
design 11.5
god 11.5
stamp 11.1
ornate 11
landmark 10.8
religious 10.3
brown 10.3
mosaic 9.9
tourism 9.9
figure 9.6
relief 9.5
frame 9.2
paint 9.1
currency 9
drawing 8.9
artistic 8.7
ornament 8.6
money 8.5
historical 8.5
flower 8.5
black 8.4
sandstone 8.4
decorative 8.4
note 8.3
cash 8.2
plastic art 8.2
border 8.1
painting 8.1
floral 7.7
finance 7.6
weathered 7.6
city 7.5
east 7.5
exterior 7.4
aged 7.2
color 7.2
textured 7

Google
created on 2020-04-25

Art 92.4
Drawing 81.3
Mythology 76.5
Ancient history 69.8
Painting 68.7
History 67.6
Textile 65.6
Sketch 65.6
Tapestry 61
Artwork 55.2
Figure drawing 55.1
Middle ages 52.3
Illustration 50.4

Microsoft
created on 2020-04-25

drawing 99.3
sketch 97.7
text 93.5
indoor 90.2
art 88.1
painting 88.1
cartoon 74.3
child art 60.5

Face analysis

Amazon

AWS Rekognition

Age 15-27
Gender Male, 50.2%
Sad 50.3%
Surprised 49.5%
Calm 49.5%
Angry 49.5%
Fear 49.7%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.2%
Angry 49.6%
Surprised 49.5%
Fear 49.5%
Calm 50%
Sad 49.6%
Confused 49.5%
Happy 49.5%
Disgusted 49.7%

AWS Rekognition

Age 26-42
Gender Female, 50.4%
Sad 49.7%
Disgusted 49.5%
Fear 49.7%
Angry 49.8%
Happy 49.6%
Calm 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 38-56
Gender Male, 54.5%
Fear 46.2%
Surprised 45.1%
Calm 49.2%
Confused 45.1%
Disgusted 45%
Happy 45.4%
Sad 48.6%
Angry 45.4%

AWS Rekognition

Age 38-56
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Sad 49.7%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%
Calm 49.6%
Fear 49.9%

AWS Rekognition

Age 20-32
Gender Male, 50.5%
Calm 50.3%
Sad 49.6%
Angry 49.5%
Disgusted 49.5%
Fear 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-42
Gender Female, 50.1%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Sad 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 50.5%
Confused 49.5%

AWS Rekognition

Age 35-51
Gender Male, 54.9%
Calm 53.1%
Surprised 45%
Angry 45.1%
Happy 45.1%
Sad 46.4%
Disgusted 45.1%
Fear 45.1%
Confused 45%

Feature analysis

Amazon

Painting 97.5%
Person 85.9%

Captions

Microsoft

a screenshot of a video game 32.9%
a close up of a logo 32.8%
a close up of an animal 32.7%