Human Generated Data

Title

The Tavern

Date

1828

People

Artist: Julien-Léopold Boilly, French 1796 - 1874

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

Printer: François de Villain, French active 1820 - 1840

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2017.116

Human Generated Data

Title

The Tavern

People

Artist: Julien-Léopold Boilly, French 1796 - 1874

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

Printer: François de Villain, French active 1820 - 1840

Date

1828

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2017.116

Machine Generated Data

Tags

Amazon
created on 2022-12-05

Art 99.8
Man 98.1
Adult 98.1
Male 98.1
Person 98.1
Person 97.9
Man 97.3
Adult 97.3
Male 97.3
Person 97.3
Person 96.6
Man 96.3
Male 96.3
Person 96.3
Adult 96.3
Person 95.9
Man 95.9
Adult 95.9
Male 95.9
Person 95.9
Painting 95.8
Drawing 95.2
Adult 92.6
Person 92.6
Bride 92.6
Woman 92.6
Female 92.6
Wedding 92.6
Person 92.5
Person 92.1
Person 92.1
Dining Room 91.2
Building 91.2
Architecture 91.2
Table 91.2
Dining Table 91.2
Indoors 91.2
Furniture 91.2
Room 91.2
Person 91.1
Person 91
Person 87
Person 86.1
Classroom 85.5
School 85.5
Person 85.5
Person 83.4
Shoe 82.8
Clothing 82.8
Footwear 82.8
Shoe 81.8
Person 81.6
Shoe 81.2
Person 80.2
Handbag 79.6
Bag 79.6
Accessories 79.6
Person 79
Person 79
Person 78.8
Person 75.3
Hat 73.3
Shoe 73.2
Person 72.1
Hat 71.8
Person 69.5
Hat 69.2
Handbag 65.6
Shoe 65
Hat 63
Head 61.6
Animal 60.7
Dog 60.7
Pet 60.7
Mammal 60.7
Canine 60.7
Hat 60.3
Hat 58.7
Handbag 58.4
Cafeteria 57.5
Restaurant 57.5
People 56.7
Shoe 56.3
Hat 55.1

Clarifai
created on 2023-10-12

people 100
group 99.7
many 99.1
adult 99.1
man 98.6
education 97.1
group together 96
woman 95.9
leader 95.3
administration 95.1
print 94.6
room 93.2
several 93.2
child 92.1
furniture 92.1
indoors 90.4
sit 90
home 87.8
music 87.4
war 87.4

Imagga
created on 2022-12-05

speedway 22.7
man 20.8
racetrack 19.2
brass 19.2
wind instrument 15.8
person 14.1
snow 13.6
male 13.5
people 13.4
course 13.3
winter 12.8
drawing 12.5
musical instrument 11.8
black 11.4
cold 11.2
old 11.1
building 10.7
facility 10.2
soldier 9.8
sketch 9.7
military 9.6
men 9.4
grunge 9.4
outdoor 9.2
city 9.1
transportation 9
outdoors 8.9
sport 8.8
chair 8.8
war 8.6
window 8.4
portrait 8.4
art 8.2
decoration 8.1
adult 8.1
bench 8
architecture 7.8
season 7.8
scene 7.8
travel 7.7
landscape 7.4
street 7.4
tourist 7.2
aged 7.2
dirty 7.2
lifestyle 7.2
gun 7.2
team 7.2
women 7.1
day 7.1

Google
created on 2022-12-05

Art 80.5
Painting 73.2
Chair 72.6
Event 70.2
Illustration 69.2
Drawing 69.1
Room 66.6
Sitting 62.5
Visual arts 60.9
Monochrome 58.7
Font 57.9
History 56.9
Conversation 53.5
Sketch 52.5

Microsoft
created on 2022-12-05

sketch 97.6
drawing 97.5
text 94.2
people 94
person 93.1
old 86.3
illustration 81.7
gallery 80.8
group 72.5
black 68.6
posing 59.8
room 57.8
clothing 57.8
vintage 36.3
drawn 35.7
picture frame 16.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 38-46
Gender Male, 95.9%
Happy 86%
Calm 10.9%
Surprised 6.4%
Fear 5.9%
Sad 2.3%
Confused 1.6%
Disgusted 0.4%
Angry 0.3%

AWS Rekognition

Age 13-21
Gender Female, 99.9%
Calm 86.4%
Surprised 7.3%
Fear 6%
Sad 3.6%
Happy 3.4%
Confused 1.8%
Disgusted 1.3%
Angry 0.9%

AWS Rekognition

Age 34-42
Gender Male, 99.8%
Calm 34.2%
Confused 34.2%
Fear 10.2%
Surprised 9.1%
Angry 7.2%
Sad 6.2%
Disgusted 2.6%
Happy 0.5%

AWS Rekognition

Age 41-49
Gender Male, 100%
Disgusted 87.3%
Surprised 6.4%
Fear 6%
Sad 4.5%
Angry 3.8%
Confused 2.6%
Calm 0.5%
Happy 0.2%

AWS Rekognition

Age 49-57
Gender Male, 97.8%
Sad 99.8%
Fear 14.7%
Calm 8.8%
Surprised 7.3%
Confused 2.1%
Disgusted 1.7%
Angry 0.9%
Happy 0.4%

AWS Rekognition

Age 53-61
Gender Male, 100%
Calm 97.3%
Surprised 6.4%
Fear 6.2%
Sad 2.3%
Confused 0.5%
Angry 0.3%
Disgusted 0.2%
Happy 0.2%

AWS Rekognition

Age 23-33
Gender Female, 99.9%
Happy 99.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 0.1%
Disgusted 0.1%
Angry 0%
Confused 0%

AWS Rekognition

Age 29-39
Gender Female, 58.9%
Sad 59%
Calm 34.6%
Angry 12.1%
Fear 11%
Surprised 8.9%
Confused 4%
Disgusted 2.9%
Happy 2.6%

AWS Rekognition

Age 23-33
Gender Male, 98.9%
Calm 80.1%
Surprised 8.3%
Fear 7.8%
Happy 4.8%
Angry 3.2%
Sad 2.5%
Disgusted 1.8%
Confused 1.1%

AWS Rekognition

Age 19-27
Gender Female, 90.3%
Happy 45.5%
Fear 32.2%
Confused 11.2%
Calm 7.2%
Surprised 7%
Sad 2.7%
Angry 1.5%
Disgusted 1.2%

AWS Rekognition

Age 47-53
Gender Male, 98.6%
Sad 98.9%
Fear 18.5%
Calm 17%
Surprised 6.7%
Confused 2.4%
Angry 1.1%
Disgusted 0.7%
Happy 0.2%

AWS Rekognition

Age 6-16
Gender Male, 77.4%
Calm 46.2%
Happy 15.6%
Fear 10.3%
Confused 9.2%
Surprised 8.7%
Sad 6.7%
Disgusted 4.7%
Angry 2.8%

AWS Rekognition

Age 41-49
Gender Male, 99.5%
Sad 100%
Calm 7.4%
Surprised 6.4%
Fear 6.2%
Confused 1%
Disgusted 0.3%
Angry 0.3%
Happy 0.1%

AWS Rekognition

Age 57-65
Gender Male, 97.5%
Calm 73.8%
Angry 8.1%
Surprised 7.9%
Happy 6.3%
Fear 6.1%
Sad 3.1%
Disgusted 2.9%
Confused 2.5%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Confused 62%
Calm 28.2%
Surprised 8.3%
Fear 6%
Disgusted 3.5%
Sad 2.3%
Angry 1.1%
Happy 0.6%

AWS Rekognition

Age 25-35
Gender Male, 93.2%
Calm 60.9%
Fear 17.6%
Surprised 11%
Happy 9.8%
Sad 2.5%
Disgusted 1.3%
Angry 0.9%
Confused 0.4%

AWS Rekognition

Age 12-20
Gender Female, 99.8%
Calm 98%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Happy 0.7%
Disgusted 0.2%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 16-22
Gender Female, 97%
Calm 72.4%
Happy 21.6%
Surprised 6.8%
Fear 6.5%
Sad 2.6%
Angry 0.9%
Disgusted 0.6%
Confused 0.4%

AWS Rekognition

Age 20-28
Gender Female, 91.7%
Calm 96.6%
Surprised 6.6%
Fear 6%
Sad 2.3%
Disgusted 0.8%
Happy 0.7%
Angry 0.2%
Confused 0.2%

AWS Rekognition

Age 25-35
Gender Male, 99.9%
Calm 90.9%
Fear 8.1%
Surprised 6.4%
Sad 2.3%
Happy 1.5%
Angry 0.8%
Disgusted 0.4%
Confused 0.4%

AWS Rekognition

Age 18-24
Gender Female, 86.1%
Happy 53.3%
Calm 12.9%
Confused 12.3%
Disgusted 8.1%
Surprised 7.9%
Fear 7%
Angry 4.7%
Sad 3.2%

AWS Rekognition

Age 40-48
Gender Female, 59.1%
Calm 38.9%
Sad 28.6%
Fear 25.4%
Surprised 7.1%
Angry 6.5%
Confused 4%
Happy 2.3%
Disgusted 1.2%

AWS Rekognition

Age 21-29
Gender Female, 98.9%
Sad 92.6%
Fear 47.4%
Surprised 10.6%
Confused 4%
Calm 2.7%
Disgusted 1.3%
Angry 0.7%
Happy 0.3%

AWS Rekognition

Age 22-30
Gender Female, 96.2%
Calm 96.7%
Surprised 6.5%
Fear 6.1%
Sad 2.5%
Confused 0.5%
Disgusted 0.2%
Angry 0.2%
Happy 0.1%

Microsoft Cognitive Services

Age 27
Gender Female

Feature analysis

Amazon

Man 98.1%
Adult 98.1%
Male 98.1%
Person 98.1%
Bride 92.6%
Woman 92.6%
Female 92.6%
Shoe 82.8%
Handbag 79.6%
Hat 73.3%
Dog 60.7%

Categories

Text analysis

Amazon

LE
LE CABARET.
CABARET.

Google

.
Lath
de
Villain
J. Boilly LE CABARET. Lath de Villain
J.
Boilly
LE
CABARET