Human Generated Data

Title

The Gathering of Artists
Date

1804
People

Artist: Alexandre Clément, French c. 1775 - c. 1808

Artist after: Louis-Léopold Boilly, French 1761 - 1845
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2018.1

Human Generated Data

Title

The Gathering of Artists

People

Artist: Alexandre Clément, French c. 1775 - c. 1808

Artist after: Louis-Léopold Boilly, French 1761 - 1845

Date

1804

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2018.1

Machine Generated Data

Tags

Amazon
created on 2019-04-10

Art 99.1
Painting 99.1
Human 98.7
Person 98.7
Person 97.5
Person 93.9
Person 93.9
Person 88.4
Person 86.7
Person 84.6
Person 81.5
Person 75.6
Person 71.9
Person 69.7
Person 64.1
Person 63.5
Person 62.6

Clarifai
created on 2018-07-20

people 99.9
portrait 98.7
adult 97.7
art 96.9
group 96.6
wear 95.7
child 95.7
print 95.2
one 94.7
retro 94.2
man 94.1
woman 92.5
paper 91
antique 89.6
painting 89.5
many 87.8
illustration 87.4
vintage 86.3
leader 85.9
old 85.3

Imagga
created on 2018-07-20

old 28.6
grunge 25.5
texture 24.3
arabesque 22.6
vintage 21.5
retro 20.5
antique 16.7
brown 15.5
wall 15.4
food 15.1
art 14.6
trivet 14.6
doormat 14.3
design 13.7
pattern 13.7
aged 13.6
dirty 13.5
textured 13.1
mat 12.3
ancient 12.1
insulating material 11.9
base 11.7
damaged 11.4
healthy 10.1
natural 10
decorative 10
black 9.6
symbol 9.4
building material 9.2
wallpaper 9.2
covering 8.7
china 8.7
floor cover 8.6
rusty 8.6
container 8.6
weathered 8.5
mosaic 8.5
device 8.5
tasty 8.4
support 8.3
stone 8.3
backdrop 8.2
rough 8.2
board 8.1
plant 8.1
world 8
postage 7.9
chalkboard 7.8
flower 7.7
money 7.7
gourmet 7.6
stamp 7.6
united 7.6
grungy 7.6
structure 7.5
tray 7.5
frame 7.5
heart 7.4
metal 7.2
collection 7.2
material 7.1
love 7.1
decoration 7.1
paper 7.1

Google
created on 2018-07-20

picture frame 73.2
artwork 61.9
history 61.4
stock photography 53.3
art 51.6

Microsoft
created on 2018-07-20

text 98.2
black 76.3
old 70.5
white 66
vintage 43.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 35-52
Gender Male, 95.8%
Sad 10.5%
Confused 3.7%
Disgusted 0.8%
Surprised 1.1%
Happy 2.8%
Angry 2.2%
Calm 79%

AWS Rekognition

Age 49-69
Gender Male, 87.2%
Sad 20.7%
Happy 3.8%
Angry 21.8%
Disgusted 4.3%
Calm 25.9%
Surprised 8.1%
Confused 15.5%

AWS Rekognition

Age 26-43
Gender Female, 84.7%
Calm 44.4%
Surprised 5.1%
Confused 4%
Disgusted 10.2%
Happy 4.5%
Sad 24.4%
Angry 7.3%

AWS Rekognition

Age 35-52
Gender Female, 77.6%
Surprised 3%
Disgusted 53.3%
Happy 2.3%
Sad 14.6%
Calm 13%
Confused 8.2%
Angry 5.7%

AWS Rekognition

Age 26-43
Gender Female, 60.6%
Sad 24.1%
Happy 2.3%
Angry 4.7%
Disgusted 9.4%
Calm 6.9%
Surprised 33.1%
Confused 19.5%

AWS Rekognition

Age 26-43
Gender Female, 86.5%
Calm 2.3%
Surprised 6.2%
Confused 2.4%
Disgusted 4.6%
Happy 0.5%
Sad 81.3%
Angry 2.7%

AWS Rekognition

Age 26-43
Gender Female, 79.5%
Calm 63.4%
Angry 3.5%
Surprised 5.1%
Confused 4.4%
Disgusted 2.9%
Happy 1.9%
Sad 18.7%

AWS Rekognition

Age 26-43
Gender Female, 67.8%
Sad 36.8%
Happy 4.8%
Calm 20.7%
Surprised 8.3%
Disgusted 5.7%
Angry 14%
Confused 9.8%

AWS Rekognition

Age 27-44
Gender Male, 99.2%
Angry 9.5%
Disgusted 2.5%
Sad 9.5%
Calm 57.7%
Confused 12.5%
Surprised 6.6%
Happy 1.7%

AWS Rekognition

Age 60-80
Gender Female, 93.5%
Angry 0.6%
Calm 1%
Confused 0.8%
Disgusted 1.3%
Surprised 0.5%
Happy 0.9%
Sad 95%

AWS Rekognition

Age 26-43
Gender Male, 51.1%
Angry 8%
Disgusted 6.4%
Confused 11.9%
Sad 44.6%
Surprised 6.9%
Calm 16.5%
Happy 5.8%

AWS Rekognition

Age 26-44
Gender Male, 97.8%
Disgusted 8.4%
Sad 26.6%
Calm 36.4%
Angry 13.1%
Surprised 4.7%
Happy 1.6%
Confused 9.1%

AWS Rekognition

Age 48-68
Gender Male, 97.3%
Disgusted 5.1%
Calm 38.2%
Surprised 3.5%
Angry 8.1%
Happy 0.7%
Sad 35.6%
Confused 8.8%

AWS Rekognition

Age 45-63
Gender Male, 95.9%
Disgusted 0.9%
Calm 57.9%
Surprised 2.2%
Angry 4.2%
Happy 2.1%
Sad 30.5%
Confused 2.4%

AWS Rekognition

Age 15-25
Gender Male, 95.6%
Calm 29.7%
Surprised 8.4%
Disgusted 24.5%
Happy 2%
Confused 18.4%
Sad 9.2%
Angry 7.8%

AWS Rekognition

Age 35-52
Gender Male, 79.9%
Happy 1.1%
Disgusted 2.4%
Angry 2.1%
Confused 2.5%
Sad 77.9%
Surprised 2%
Calm 11.9%

AWS Rekognition

Age 19-36
Gender Male, 98.9%
Sad 6.7%
Calm 73.7%
Happy 1.9%
Confused 8.8%
Disgusted 0.6%
Surprised 3.1%
Angry 5.2%

AWS Rekognition

Age 20-38
Gender Male, 69.8%
Angry 11.9%
Calm 30.8%
Surprised 12.5%
Happy 16.5%
Sad 12.1%
Disgusted 7.6%
Confused 8.6%

AWS Rekognition

Age 26-43
Gender Male, 92.3%
Confused 9.2%
Happy 1.4%
Calm 20.6%
Surprised 42.7%
Disgusted 6.5%
Sad 12.9%
Angry 6.6%

AWS Rekognition

Age 26-43
Gender Male, 93.9%
Disgusted 8.9%
Angry 7.8%
Sad 8.2%
Surprised 27.8%
Confused 38.2%
Happy 2%
Calm 7.2%

AWS Rekognition

Age 20-38
Gender Male, 96.2%
Calm 26.2%
Surprised 10.1%
Confused 14.3%
Disgusted 6.4%
Happy 20.5%
Sad 13.1%
Angry 9.5%

AWS Rekognition

Age 26-43
Gender Male, 87.8%
Calm 28.9%
Angry 22.6%
Surprised 9%
Sad 22.1%
Happy 1.6%
Confused 7%
Disgusted 8.8%

AWS Rekognition

Age 20-38
Gender Male, 96.3%
Sad 5.2%
Surprised 4.9%
Happy 2.1%
Angry 3.2%
Calm 77.8%
Confused 4.8%
Disgusted 2.2%

AWS Rekognition

Age 26-43
Gender Male, 92.2%
Disgusted 6.1%
Sad 13.6%
Confused 10.5%
Angry 8.6%
Happy 3.1%
Calm 41.8%
Surprised 16.2%

AWS Rekognition

Age 20-38
Gender Female, 91.1%
Confused 5.9%
Happy 2.1%
Disgusted 2.2%
Calm 5.3%
Surprised 69.5%
Sad 10.3%
Angry 4.8%

AWS Rekognition

Age 20-38
Gender Female, 70.7%
Calm 2.3%
Surprised 0.3%
Angry 0.8%
Happy 0.1%
Disgusted 0.3%
Confused 0.8%
Sad 95.5%

AWS Rekognition

Age 48-68
Gender Male, 71.1%
Disgusted 0.1%
Calm 88.1%
Sad 6.7%
Angry 1.4%
Confused 1.3%
Happy 0.7%
Surprised 1.7%

AWS Rekognition

Age 26-44
Gender Male, 94.3%
Confused 0.6%
Angry 0.6%
Happy 0.2%
Calm 97%
Disgusted 0.8%
Surprised 0.3%
Sad 0.5%

AWS Rekognition

Age 49-69
Gender Male, 70%
Confused 8.3%
Angry 2.9%
Sad 65.3%
Happy 1.6%
Calm 17.3%
Disgusted 1.1%
Surprised 3.5%

Microsoft Cognitive Services

Age 31
Gender Female

Microsoft Cognitive Services

Age 15
Gender Female

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 58
Gender Male

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 43
Gender Female

Microsoft Cognitive Services

Age 34
Gender Female

Microsoft Cognitive Services

Age 37
Gender Female

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 26
Gender Female

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.7%

Categories

Imagga

paintings art 100%

Captions

Microsoft
created on 2018-07-20

a vintage photo of a book 42.6%
a vintage photo of a desert 42.5%
a vintage photo of a cake 31.4%

Text analysis

Amazon

REUNION
REUNION D'ARTISTES
D'ARTISTES
Monsieur
Cabinet
Tiree
de
Tiree du Cabinet de Monsieur Bouillier
Bouillier
lmateurs
du
Odes
Deilie aur lmateurs Odes lrtid
Deilie
aur
lrtid
bermareham
Pancher Tnodn bermareham
Tnodn
Pancher

Google

on ados EİLliotheque REUNION D'ARTISTES Tirée du Cabinet de Monsieur Bouillier
on
ados
EİLliotheque
REUNION
D'ARTISTES
Tirée
du
Cabinet
de
Monsieur
Bouillier