Human Generated Data

Title

Liberation in Paris

Date

c. 1948

People

Artist: Frank Freed, American 1906 - 1975

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Eleanor Freed in memory of Frank Freed, 1976.30

Human Generated Data

Title

Liberation in Paris

People

Artist: Frank Freed, American 1906 - 1975

Date

c. 1948

Classification

Paintings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Eleanor Freed in memory of Frank Freed, 1976.30

Machine Generated Data

Tags

Amazon
created on 2023-08-30

Art 100
Painting 100
Collage 98.5
Person 95.6
Person 94.6
Person 94.6
Person 93.9
Person 93.6
Person 92.1
Person 91.9
Person 91.8
Person 90.6
Person 89.9
Person 89.5
Person 89.2
Person 89.1
Person 88.7
Person 88.6
Person 88.3
Person 87.8
Person 87.6
Person 87.1
Person 86.5
Person 85.6
Machine 84.7
Wheel 84.7
Person 84.1
Person 82.4
Person 81.5
Person 79.1
Face 78.7
Head 78.7
Person 78.4
Person 77.8
Person 76.1
Person 74.8
Person 73.7
Person 73
Accessories 71.1
Ornament 71.1
Tapestry 71.1
Person 70.7
Person 69.6
Person 69.3
Person 68.5
Person 68.2
Person 67.4
Wheel 67.1
Person 64.9
Modern Art 60.4
Person 60.4
Mural 56.7

Clarifai
created on 2023-11-01

people 99.2
art 98.6
illustration 98.3
man 97.5
painting 96.7
print 96.2
group 95.9
woman 92.6
many 90.5
adult 89
bill 88.1
church 87.6
street 84.5
crowd 84.5
religion 84.4
collage 82.3
city 82.2
color 80.8
old 79.4
celebration 79.3

Imagga
created on 2018-12-18

comic book 34.6
web site 32.7
jigsaw puzzle 32
puzzle 25.2
monitor 24.4
game 20.9
art 19.8
screen 18.6
letter 16.5
stamp 16.4
equipment 16
global 15.5
mail 15.3
vintage 14.9
postmark 14.8
postage 14.7
display 14.6
computer 14.1
design 14.1
church 13.9
print media 13.8
postal 13.7
envelope 13.6
money 13.6
navigation 13.5
man 12.1
close 12
icon 11.9
window 11.9
technology 11.9
painted 11.4
electronic equipment 11.4
map 11.2
old 11.1
liquid crystal display 11.1
billboard 11
object 11
background 11
printed 10.8
religion 10.8
hand 10.6
television 10.5
post 10.5
religious 10.3
finance 10.1
communication 10.1
currency 9.9
circa 9.9
retro 9.8
one 9.7
signboard 9.7
ancient 9.5
pinball machine 9.4
card 9.4
office 9
digital 8.9
stamps 8.9
shows 8.9
closeup 8.8
god 8.6
structure 8.6
media 8.6
culture 8.5
business 8.5
black 8.4
dollar 8.3
cash 8.2
laptop 8.2
symbol 8.1
financial 8
navigator 7.9
masterpiece 7.9
painter 7.8
lost 7.8
paintings 7.8
delivery 7.8
letters 7.7
saint 7.7
communications 7.7
fine 7.6
unique 7.6
game equipment 7.5
frame 7.5
savings 7.5
style 7.4
banking 7.3
road 7.2
color 7.2
wealth 7.2
colorful 7.2
bank 7.2
glass 7

Google
created on 2018-12-18

art 94.5
picture frame 69.4
mural 69.4
painting 66.3
modern art 65.7
collection 65.1
tapestry 60.5
art gallery 58.6
artwork 57.2

Microsoft
created on 2018-12-18

room 99.6
scene 99.5
gallery 99.4
indoor 96.2
decorated 48.6
painting 39.4
colorful 33.9
art 33.9
museum 11.8
toy 10
mural 9.5
collection 7.2
mosaic 6.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 25-35
Gender Male, 99.3%
Surprised 68.9%
Fear 23%
Happy 11.6%
Calm 11.1%
Confused 9.1%
Sad 2.5%
Disgusted 1.6%
Angry 1.5%

AWS Rekognition

Age 19-27
Gender Female, 100%
Sad 73.7%
Angry 20.4%
Calm 19.5%
Fear 9.4%
Happy 8.6%
Surprised 7.1%
Disgusted 6.1%
Confused 2.2%

AWS Rekognition

Age 16-24
Gender Male, 99.9%
Calm 69.6%
Happy 10.4%
Angry 9.9%
Surprised 6.6%
Fear 6.2%
Sad 4%
Confused 3%
Disgusted 1%

AWS Rekognition

Age 23-31
Gender Female, 99.8%
Happy 78.4%
Surprised 7.9%
Fear 6.6%
Calm 6.6%
Angry 5%
Sad 2.8%
Disgusted 1.8%
Confused 1.4%

AWS Rekognition

Age 20-28
Gender Female, 99.7%
Fear 60.7%
Surprised 52.9%
Calm 9.3%
Confused 4.1%
Sad 2.7%
Disgusted 2.1%
Angry 1.2%
Happy 1.2%

AWS Rekognition

Age 19-27
Gender Male, 90.2%
Sad 99.9%
Calm 8%
Fear 7.8%
Surprised 7.6%
Disgusted 5.1%
Confused 2.7%
Happy 2.5%
Angry 1.9%

AWS Rekognition

Age 16-24
Gender Female, 99.8%
Angry 77.5%
Disgusted 18.5%
Surprised 6.5%
Fear 6%
Sad 2.5%
Calm 1.1%
Confused 0.9%
Happy 0.4%

AWS Rekognition

Age 19-27
Gender Female, 99.9%
Calm 95.6%
Surprised 6.5%
Fear 5.9%
Happy 2.4%
Sad 2.3%
Disgusted 0.5%
Confused 0.3%
Angry 0.3%

AWS Rekognition

Age 18-24
Gender Male, 99.9%
Sad 92.1%
Calm 22.1%
Surprised 10.5%
Angry 10%
Fear 10%
Confused 5.2%
Disgusted 2.1%
Happy 1.6%

AWS Rekognition

Age 19-27
Gender Male, 99.9%
Fear 85.2%
Sad 48%
Surprised 6.5%
Calm 2.7%
Confused 1.4%
Angry 0.7%
Disgusted 0.7%
Happy 0.4%

AWS Rekognition

Age 11-19
Gender Female, 88%
Calm 56.2%
Disgusted 14.5%
Fear 9.9%
Surprised 8%
Confused 6%
Happy 4.9%
Sad 3.6%
Angry 3.2%

AWS Rekognition

Age 22-30
Gender Male, 98.9%
Happy 80.8%
Sad 8.4%
Surprised 6.8%
Fear 6.4%
Angry 4.2%
Calm 1.6%
Disgusted 0.6%
Confused 0.4%

AWS Rekognition

Age 20-28
Gender Female, 99.9%
Sad 82%
Fear 45.5%
Confused 19.1%
Surprised 7.5%
Calm 0.8%
Disgusted 0.7%
Angry 0.7%
Happy 0.3%

AWS Rekognition

Age 20-28
Gender Female, 100%
Sad 99.7%
Calm 31.3%
Surprised 6.4%
Fear 5.9%
Confused 0.6%
Angry 0.3%
Disgusted 0.2%
Happy 0%

AWS Rekognition

Age 23-33
Gender Female, 91.3%
Fear 59.4%
Calm 17.8%
Surprised 10.2%
Disgusted 7.7%
Angry 6.6%
Happy 6%
Sad 4.8%
Confused 3%

AWS Rekognition

Age 26-36
Gender Female, 82.8%
Angry 32.9%
Fear 19.3%
Calm 15%
Disgusted 11%
Surprised 8%
Happy 7.5%
Sad 5.3%
Confused 4.1%

AWS Rekognition

Age 20-28
Gender Female, 76.9%
Fear 69.7%
Sad 58.2%
Happy 9.5%
Surprised 7%
Calm 2.5%
Confused 1.9%
Disgusted 1.6%
Angry 0.4%

AWS Rekognition

Age 26-36
Gender Male, 99.9%
Sad 99.9%
Surprised 9.4%
Fear 9%
Calm 5.4%
Happy 3.8%
Confused 1.2%
Disgusted 1%
Angry 0.9%

AWS Rekognition

Age 25-35
Gender Male, 98.3%
Fear 98.1%
Surprised 6.3%
Sad 2.2%
Confused 0%
Angry 0%
Disgusted 0%
Happy 0%
Calm 0%

AWS Rekognition

Age 28-38
Gender Male, 99.8%
Happy 71.8%
Calm 14.9%
Surprised 8.3%
Fear 7%
Sad 2.7%
Angry 2.4%
Confused 1.9%
Disgusted 1.1%

AWS Rekognition

Age 19-27
Gender Female, 99.5%
Fear 80.9%
Calm 10.4%
Surprised 9.4%
Sad 6.6%
Happy 4.9%
Disgusted 3.8%
Angry 2.4%
Confused 2.3%

AWS Rekognition

Age 23-31
Gender Female, 100%
Sad 100%
Calm 7.9%
Surprised 6.5%
Fear 6.1%
Angry 1.1%
Disgusted 0.8%
Confused 0.5%
Happy 0.3%

AWS Rekognition

Age 29-39
Gender Female, 98.5%
Calm 77.6%
Angry 8.4%
Surprised 6.5%
Fear 6.2%
Sad 4.5%
Confused 3.4%
Disgusted 2.8%
Happy 1.1%

AWS Rekognition

Age 13-21
Gender Female, 56.6%
Sad 87.7%
Calm 44.2%
Surprised 7.7%
Fear 6.8%
Confused 4.3%
Angry 3.7%
Disgusted 1.6%
Happy 0.7%

AWS Rekognition

Age 33-41
Gender Male, 97.5%
Sad 99.9%
Calm 11.8%
Surprised 8.4%
Fear 6.6%
Angry 4%
Happy 2.7%
Disgusted 1.4%
Confused 1%

AWS Rekognition

Age 24-34
Gender Male, 98.9%
Sad 100%
Surprised 6.6%
Fear 6.4%
Calm 3.9%
Disgusted 1.4%
Angry 1.3%
Confused 1.2%
Happy 0.4%

AWS Rekognition

Age 10-18
Gender Male, 99.6%
Fear 94.6%
Surprised 7.6%
Sad 4%
Calm 2.8%
Happy 2.2%
Confused 2.1%
Angry 1.3%
Disgusted 0.7%

AWS Rekognition

Age 18-26
Gender Female, 69%
Fear 97.1%
Surprised 8.1%
Sad 2.2%
Calm 1.7%
Disgusted 1%
Angry 0.2%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 6-16
Gender Female, 98.3%
Surprised 97.9%
Angry 16.7%
Fear 5.9%
Happy 5.6%
Sad 2.2%
Calm 0.8%
Confused 0.4%
Disgusted 0.2%

AWS Rekognition

Age 19-27
Gender Female, 99.9%
Sad 100%
Fear 9.2%
Surprised 6.9%
Confused 2.4%
Calm 2%
Angry 1.2%
Happy 0.8%
Disgusted 0.5%

AWS Rekognition

Age 10-18
Gender Male, 95.8%
Confused 40.4%
Fear 28.5%
Surprised 13.6%
Calm 7.2%
Sad 5.6%
Happy 4.3%
Angry 2%
Disgusted 1.5%

AWS Rekognition

Age 16-22
Gender Female, 100%
Fear 97.3%
Surprised 6.5%
Sad 2.5%
Happy 1.5%
Calm 1.2%
Confused 0.4%
Angry 0.4%
Disgusted 0.3%

AWS Rekognition

Age 16-22
Gender Male, 99.5%
Sad 100%
Surprised 6.3%
Fear 5.9%
Calm 0.1%
Angry 0%
Happy 0%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 6-14
Gender Male, 100%
Happy 86.1%
Calm 8.2%
Surprised 6.7%
Fear 6%
Sad 2.4%
Angry 1.6%
Disgusted 1.1%
Confused 0.9%

AWS Rekognition

Age 23-33
Gender Male, 50.4%
Calm 62.2%
Confused 10.2%
Surprised 10%
Sad 9.1%
Fear 7%
Angry 3.2%
Disgusted 2.5%
Happy 2.5%

AWS Rekognition

Age 16-24
Gender Male, 90%
Sad 100%
Fear 8.2%
Surprised 7.4%
Calm 5%
Angry 3.5%
Confused 1.3%
Happy 1%
Disgusted 0.8%

AWS Rekognition

Age 28-38
Gender Female, 100%
Surprised 40.5%
Confused 34.6%
Calm 11.5%
Disgusted 10.7%
Fear 7.9%
Sad 5.1%
Angry 4%
Happy 1.2%

AWS Rekognition

Age 27-37
Gender Male, 99.5%
Sad 88.5%
Calm 38%
Happy 13%
Surprised 7.1%
Fear 7%
Confused 1.3%
Disgusted 1.3%
Angry 1%

AWS Rekognition

Age 13-21
Gender Female, 79.3%
Calm 74.5%
Surprised 11.8%
Disgusted 7.6%
Fear 7%
Confused 5%
Sad 2.4%
Happy 0.7%
Angry 0.6%

AWS Rekognition

Age 9-17
Gender Female, 99.4%
Fear 43.2%
Surprised 40.1%
Calm 17.6%
Happy 9.6%
Sad 2.8%
Disgusted 2.4%
Angry 2.4%
Confused 2%

AWS Rekognition

Age 26-36
Gender Female, 100%
Happy 67.3%
Fear 10%
Surprised 7.4%
Disgusted 5.6%
Sad 5.4%
Calm 5%
Angry 3.1%
Confused 1.7%

AWS Rekognition

Age 21-29
Gender Female, 81.4%
Calm 72.6%
Surprised 7.8%
Disgusted 7.5%
Fear 7.3%
Confused 5.9%
Happy 3.5%
Sad 3%
Angry 2%

AWS Rekognition

Age 22-30
Gender Female, 99.9%
Sad 74.9%
Surprised 34.8%
Calm 23.5%
Fear 7.2%
Happy 4.6%
Confused 4%
Angry 3.2%
Disgusted 2.9%

AWS Rekognition

Age 20-28
Gender Male, 89.7%
Disgusted 29.9%
Calm 26.9%
Sad 13.7%
Surprised 12.4%
Fear 9.7%
Confused 8.4%
Angry 2.7%
Happy 1.5%

AWS Rekognition

Age 16-22
Gender Female, 99.3%
Happy 45%
Angry 25.1%
Fear 12.7%
Surprised 8.5%
Calm 5.9%
Sad 3.6%
Disgusted 2.3%
Confused 1.4%

AWS Rekognition

Age 38-46
Gender Female, 99.9%
Happy 85.9%
Fear 7.4%
Surprised 6.5%
Sad 5.1%
Confused 1.5%
Disgusted 1.4%
Angry 0.4%
Calm 0.4%

AWS Rekognition

Age 23-33
Gender Male, 96.8%
Fear 79%
Sad 32.5%
Calm 10.6%
Surprised 7%
Confused 1.8%
Disgusted 1.8%
Happy 1%
Angry 0.8%

AWS Rekognition

Age 39-47
Gender Male, 86.4%
Calm 72.7%
Angry 13.2%
Surprised 7.2%
Fear 6.3%
Sad 4.4%
Confused 4.3%
Disgusted 1.3%
Happy 0.7%

AWS Rekognition

Age 16-22
Gender Male, 99.5%
Calm 87.1%
Happy 7%
Surprised 6.6%
Fear 6.1%
Sad 3.2%
Confused 1%
Angry 0.5%
Disgusted 0.4%

AWS Rekognition

Age 29-39
Gender Female, 92.1%
Happy 76.2%
Calm 11.5%
Fear 7.1%
Surprised 6.8%
Sad 4.7%
Disgusted 1%
Confused 0.9%
Angry 0.6%

AWS Rekognition

Age 24-34
Gender Male, 89%
Sad 75.6%
Calm 43.5%
Happy 11%
Surprised 7.4%
Fear 6.9%
Angry 3.5%
Disgusted 1.6%
Confused 1.2%

AWS Rekognition

Age 22-30
Gender Male, 74.6%
Fear 96.6%
Surprised 6.7%
Sad 3.2%
Disgusted 1.9%
Angry 1.4%
Calm 0.9%
Happy 0.9%
Confused 0.2%

AWS Rekognition

Age 19-27
Gender Male, 50.7%
Fear 73.5%
Surprised 15.9%
Sad 14.2%
Calm 8.4%
Disgusted 5.7%
Angry 1.5%
Confused 1.1%
Happy 0.6%

AWS Rekognition

Age 12-20
Gender Male, 98.9%
Confused 28.4%
Calm 23.4%
Surprised 16.2%
Fear 12.8%
Angry 6.1%
Sad 6.1%
Happy 5.1%
Disgusted 4.3%

AWS Rekognition

Age 19-27
Gender Male, 98.1%
Fear 98.1%
Surprised 6.3%
Sad 2.2%
Calm 0%
Disgusted 0%
Angry 0%
Happy 0%
Confused 0%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 90.8%
Surprised 6.4%
Fear 6.2%
Sad 4.2%
Confused 1.4%
Angry 1%
Happy 0.4%
Disgusted 0.3%

AWS Rekognition

Age 23-31
Gender Male, 85.3%
Confused 50.3%
Fear 19.2%
Surprised 14.1%
Sad 7.8%
Angry 4.7%
Disgusted 2.2%
Happy 1.7%
Calm 1.3%

AWS Rekognition

Age 25-35
Gender Male, 99.5%
Sad 100%
Surprised 6.3%
Fear 5.9%
Happy 5.8%
Confused 0.1%
Angry 0.1%
Calm 0%
Disgusted 0%

AWS Rekognition

Age 23-33
Gender Male, 99.8%
Calm 83.6%
Angry 7.2%
Surprised 6.3%
Fear 6%
Sad 5.6%
Confused 1.6%
Happy 0.3%
Disgusted 0.1%

AWS Rekognition

Age 21-29
Gender Female, 99.9%
Sad 67.3%
Calm 19.9%
Happy 17.6%
Fear 14.6%
Surprised 8%
Confused 6.9%
Angry 4%
Disgusted 1.6%

AWS Rekognition

Age 6-16
Gender Male, 99.4%
Calm 42.9%
Surprised 19.7%
Confused 18.9%
Fear 8.9%
Happy 6.5%
Sad 3.8%
Disgusted 3%
Angry 2.8%

AWS Rekognition

Age 19-27
Gender Female, 58.6%
Calm 56.3%
Fear 22.1%
Surprised 7.2%
Sad 6.9%
Happy 6.3%
Disgusted 2.1%
Angry 1.4%
Confused 1.1%

AWS Rekognition

Age 29-39
Gender Female, 95.9%
Happy 78.9%
Angry 8.7%
Surprised 6.8%
Fear 6.2%
Calm 5.5%
Sad 3.8%
Disgusted 0.4%
Confused 0.4%

AWS Rekognition

Age 21-29
Gender Female, 99.9%
Sad 98.8%
Calm 26.1%
Fear 6.8%
Surprised 6.6%
Happy 5.4%
Angry 3.6%
Disgusted 2.9%
Confused 1.4%

AWS Rekognition

Age 6-14
Gender Female, 97.9%
Fear 96.4%
Surprised 7.1%
Sad 4.5%
Happy 1%
Calm 0.9%
Confused 0.5%
Angry 0.3%
Disgusted 0.2%

AWS Rekognition

Age 2-10
Gender Female, 98.7%
Surprised 88.6%
Sad 45%
Fear 12.7%
Confused 2.9%
Calm 1.6%
Happy 1%
Angry 0.7%
Disgusted 0.6%

AWS Rekognition

Age 25-35
Gender Male, 99.7%
Calm 68.2%
Sad 41.1%
Surprised 7.1%
Fear 6.2%
Happy 2.1%
Confused 1.6%
Angry 0.7%
Disgusted 0.7%

AWS Rekognition

Age 18-26
Gender Male, 98.6%
Calm 38.4%
Angry 17.3%
Fear 9.9%
Confused 9%
Sad 8.9%
Disgusted 8.2%
Surprised 7.3%
Happy 6.4%

AWS Rekognition

Age 18-24
Gender Male, 69.2%
Calm 24%
Fear 17.5%
Surprised 15.2%
Happy 13.8%
Angry 10.5%
Sad 7.3%
Confused 6.9%
Disgusted 6.2%

AWS Rekognition

Age 23-31
Gender Female, 99.5%
Fear 94.1%
Surprised 8.7%
Calm 3.4%
Sad 3.3%
Confused 2.2%
Angry 1.9%
Happy 1.8%
Disgusted 0.9%

AWS Rekognition

Age 27-37
Gender Female, 60.3%
Happy 45.6%
Sad 36.2%
Calm 17%
Surprised 7.4%
Fear 7.2%
Confused 6.5%
Disgusted 2.2%
Angry 0.7%

AWS Rekognition

Age 22-30
Gender Male, 96.8%
Sad 37.5%
Happy 33%
Fear 18.2%
Calm 8.4%
Surprised 8.2%
Disgusted 7.1%
Angry 4%
Confused 1.9%

AWS Rekognition

Age 20-28
Gender Female, 62.9%
Happy 39.3%
Disgusted 21.7%
Calm 21.1%
Surprised 8.7%
Fear 6.6%
Sad 6%
Confused 2.7%
Angry 1.7%

AWS Rekognition

Age 16-24
Gender Female, 73.1%
Calm 51.4%
Happy 37.1%
Surprised 6.4%
Fear 6.2%
Sad 5.9%
Angry 1.7%
Confused 0.8%
Disgusted 0.6%

AWS Rekognition

Age 4-10
Gender Male, 81.2%
Calm 61.5%
Sad 18.6%
Fear 11.5%
Surprised 6.6%
Confused 4.5%
Disgusted 2.2%
Angry 1.9%
Happy 1.9%

AWS Rekognition

Age 20-28
Gender Male, 90.4%
Calm 34.4%
Happy 32%
Surprised 27.5%
Fear 11.1%
Sad 2.5%
Disgusted 0.9%
Confused 0.7%
Angry 0.4%

AWS Rekognition

Age 24-34
Gender Female, 97.2%
Calm 55%
Sad 39.9%
Happy 12%
Surprised 7.3%
Fear 6.6%
Angry 2.2%
Disgusted 1.9%
Confused 1.2%

AWS Rekognition

Age 20-28
Gender Male, 98.5%
Calm 83.3%
Surprised 7.4%
Fear 6.3%
Sad 4%
Confused 3.9%
Happy 2.6%
Angry 1.4%
Disgusted 1.2%

AWS Rekognition

Age 23-33
Gender Female, 95.7%
Fear 98%
Surprised 6.3%
Sad 2.2%
Happy 0.2%
Angry 0.1%
Calm 0.1%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 21-29
Gender Male, 97%
Calm 96.4%
Surprised 6.3%
Fear 5.9%
Sad 2.6%
Confused 0.8%
Happy 0.7%
Angry 0.4%
Disgusted 0.1%

AWS Rekognition

Age 19-27
Gender Male, 99.6%
Sad 99.7%
Fear 17.5%
Surprised 6.7%
Disgusted 4%
Happy 2.8%
Angry 2.7%
Calm 2%
Confused 1.6%

AWS Rekognition

Age 23-33
Gender Male, 99.4%
Calm 62.9%
Fear 17.9%
Surprised 6.6%
Happy 5.8%
Sad 4.9%
Angry 3.9%
Disgusted 1.5%
Confused 0.7%

AWS Rekognition

Age 18-24
Gender Female, 73.1%
Fear 96.8%
Surprised 6.8%
Sad 2.9%
Calm 1.8%
Confused 1.4%
Angry 0.7%
Happy 0.5%
Disgusted 0.5%

AWS Rekognition

Age 20-28
Gender Female, 99.2%
Fear 53.2%
Sad 18%
Happy 12.4%
Calm 11.1%
Surprised 9.8%
Confused 4.7%
Angry 4.3%
Disgusted 2.6%

AWS Rekognition

Age 24-34
Gender Male, 96.9%
Fear 59.3%
Surprised 23%
Calm 22.4%
Happy 5.3%
Confused 4.6%
Sad 2.7%
Disgusted 0.9%
Angry 0.9%

AWS Rekognition

Age 16-24
Gender Female, 62.4%
Sad 82.2%
Surprised 19%
Fear 13.3%
Confused 8.4%
Calm 8.3%
Happy 8.2%
Angry 7.1%
Disgusted 2.6%

AWS Rekognition

Age 18-26
Gender Female, 54.3%
Sad 91.8%
Calm 41.9%
Fear 6.8%
Surprised 6.7%
Happy 4.5%
Disgusted 2.8%
Angry 2.4%
Confused 1.5%

AWS Rekognition

Age 10-18
Gender Male, 92%
Fear 97.9%
Surprised 6.3%
Sad 2.2%
Calm 0.4%
Happy 0.3%
Angry 0.1%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 21-29
Gender Male, 97.9%
Fear 84.2%
Calm 13.8%
Happy 10.1%
Surprised 6.9%
Angry 4%
Sad 2.7%
Disgusted 2.7%
Confused 0.3%

AWS Rekognition

Age 24-34
Gender Male, 80.5%
Calm 50.2%
Fear 41.2%
Surprised 6.7%
Angry 4.2%
Sad 3.4%
Disgusted 2.2%
Happy 1.7%
Confused 1.5%

AWS Rekognition

Age 27-37
Gender Female, 94.6%
Happy 80.7%
Surprised 7.8%
Fear 7.2%
Angry 6.5%
Sad 2.9%
Calm 2.8%
Disgusted 1.2%
Confused 0.5%

AWS Rekognition

Age 23-33
Gender Male, 97.6%
Calm 95.3%
Surprised 6.5%
Fear 6%
Sad 2.7%
Angry 1.3%
Happy 0.7%
Confused 0.3%
Disgusted 0.2%

AWS Rekognition

Age 14-22
Gender Female, 81%
Sad 100%
Calm 8.9%
Surprised 6.3%
Fear 6%
Happy 0.6%
Confused 0.4%
Angry 0.4%
Disgusted 0.1%

AWS Rekognition

Age 19-27
Gender Male, 51.2%
Calm 43.6%
Happy 31.1%
Disgusted 16.4%
Fear 6.7%
Surprised 6.6%
Sad 4%
Confused 1%
Angry 0.6%

AWS Rekognition

Age 12-20
Gender Female, 99.7%
Surprised 98.2%
Confused 12.7%
Fear 7.4%
Sad 2.6%
Angry 1.6%
Calm 1.4%
Happy 0.8%
Disgusted 0.3%

AWS Rekognition

Age 20-28
Gender Male, 86.4%
Sad 99.5%
Calm 20.3%
Surprised 6.5%
Happy 6.4%
Fear 6.3%
Angry 6%
Disgusted 1.7%
Confused 0.8%

AWS Rekognition

Age 18-24
Gender Female, 99.9%
Fear 96.2%
Sad 6.7%
Surprised 6.6%
Calm 0.7%
Disgusted 0.3%
Happy 0.3%
Angry 0.3%
Confused 0.2%

AWS Rekognition

Age 31-41
Gender Female, 99.5%
Happy 40.3%
Fear 17.1%
Angry 11.3%
Surprised 9.2%
Disgusted 9.1%
Sad 9%
Calm 4.8%
Confused 1.4%

AWS Rekognition

Age 25-35
Gender Female, 86.1%
Calm 85.3%
Fear 11%
Surprised 6.5%
Sad 2.9%
Angry 0.7%
Confused 0.6%
Happy 0.4%
Disgusted 0.3%

AWS Rekognition

Age 23-31
Gender Male, 98.5%
Sad 84.1%
Calm 54.4%
Fear 7.3%
Surprised 6.6%
Angry 1.2%
Disgusted 0.7%
Happy 0.6%
Confused 0.4%

Feature analysis

Amazon

Person 95.6%
Wheel 84.7%

Categories

Imagga

text visuals 79.3%
paintings art 11.4%
interior objects 8.5%

Captions

Microsoft
created on 2018-12-18

a painting hanging on a wall 78.5%
a painting on the wall 77.4%
a painting on a wall 76.3%

Azure OpenAI

Created on 2024-12-04

This is a vibrant and detailed artwork depicting a crowded street scene, possibly during a celebration or parade. The foreground shows a group of people playing musical instruments such as a trumpet, tuba, and accordion, and others are carrying flags from various countries, which could suggest an international event or a gathering with diverse national representations. Behind the musicians, there's a large crowd of onlookers, filling the street and the balconies of the bordering buildings. The architectural style and the signs on the buildings give a European vibe, possibly French, as indicated by the visible tricolor flags. The overall scene is full of energy and movement, with many individuals engaged in various activities – talking, marching, and enjoying the festivities. The color palette consists of primarily muted tones with splashes of brighter colors, which further adds to the dynamic atmosphere of the artwork. The scene is encased in a frame, and below the image, there's a Kodak color control patch, suggesting that this may be a photograph of the artwork for reproduction or archival purposes.

Anthropic Claude

Created on 2024-11-27

This image appears to be a vibrant and detailed painting depicting a bustling street scene in what looks like a European city. The painting is filled with a large crowd of people, including individuals with diverse attire and expressions, from street performers to military figures. The scene is set against a backdrop of colorful buildings, flags, and other elements that suggest a lively and multicultural urban environment. The painting has a distinct artistic style, with bold colors, expressive brushstrokes, and a sense of movement and energy throughout the composition.

Meta Llama

Created on 2024-11-22

The image depicts a vibrant and lively street scene, likely from the early 20th century, possibly during the 1920s. The artwork is characterized by its use of bold colors, intricate details, and a sense of movement. In the foreground, a diverse group of people are gathered on the street, engaged in various activities. Some individuals are dressed in formal attire, while others wear more casual clothing. A few people are playing musical instruments, adding to the festive atmosphere. A bicycle is also present, suggesting that the scene may be set in a urban or suburban area. The background of the image features several buildings, including what appears to be a café or restaurant. The architecture of the buildings is reminiscent of European cities during the early 20th century, with ornate facades and decorative details. Overall, the image conveys a sense of joy and celebration, capturing a moment in time when people came together to enjoy music, food, and each other's company. The artwork's use of color and composition creates a dynamic and engaging visual experience, drawing the viewer into the scene. *Answer*: The image depicts a vibrant and lively street scene, likely from the early 20th century, possibly during the 1920s.

Text analysis

Amazon

KODAK
Color
KODAK Color Control Patches
LES
Control
Green
AUX
Patches
Red
Black
CAF
Brown
Magenta
White
RANO
Blue
Yellow
AURORE
THEOPHILE
ELEO
LUNE
AUX BATIE
-
JEAN
CIRQE
Cyan
MARTR
BATIE
1948
SOLIDOR
MED RANO
MAURIC
BELLE
MED
BLAIRE
BELLE A
CANVAL
LIMERATION OF ZARLI 1948
JEAN MAURIER
A
non
ZARLI
SUZY - a SOLIDOR YA NICK
YA
MILL
LIMERATION
a
Twel
OF
Orc on CANVAL
Orc
Democracy
NSE
LEREED
SUZY
on
MAURIER
NICK

Google

CA AUX BAT KODAK Color Control Patches
CA
AUX
BAT
KODAK
Color
Control
Patches