Human Generated Data

Title

Untitled (people sitting and standing at large banquet)

Date

c. 1940

People

Artist: Durette Studio, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12238

Human Generated Data

Title

Untitled (people sitting and standing at large banquet)

People

Artist: Durette Studio, American 20th century

Date

c. 1940

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12238

Machine Generated Data

Tags

Amazon
created on 2023-10-25

Indoors 100
Reception 100
Reception Room 100
Room 100
Waiting Room 100
Architecture 100
Building 100
Dining Room 100
Dining Table 100
Furniture 100
Table 100
Restaurant 99.6
Person 97.6
Person 97.4
Person 96.8
Person 96.5
Tablecloth 96.2
Person 96
Person 95.7
Person 95.4
Person 95.2
Adult 95.2
Bride 95.2
Female 95.2
Wedding 95.2
Woman 95.2
Cafeteria 95
Person 94.7
Person 94.7
Person 94.4
Person 94.3
Person 94.2
Person 94.1
Person 93.8
Person 93.8
Person 93.3
Person 92.9
Person 92.7
Person 92.6
Person 91.7
Person 91.5
Person 90.6
Person 90.1
Person 89.2
Person 87.7
Person 87.2
Person 86.2
Person 84.6
Person 83.7
Person 82.8
Person 82.6
Person 77.3
Person 74.9
Home Decor 68.5
Linen 68.5
Person 66.5
Person 66.2
Face 63.9
Head 63.9
Hall 57.7
Floor 57.6
Flooring 57.6
Clothing 56.5
Formal Wear 56.5
Suit 56.5
Food 55.9
Food Court 55.9
Person 55.4
Meal 55.3

Clarifai
created on 2018-08-23

people 99.9
many 99.8
group 99.3
group together 99
chair 98
furniture 97.7
leader 97.3
adult 95.1
administration 94.7
room 94
military 92.2
home 91.6
crowd 90.3
school 90.1
education 89.4
man 89.2
several 86.9
seat 82.4
woman 81.5
war 80.3

Imagga
created on 2018-08-23

upright 53.2
stringed instrument 48.8
piano 46.8
musical instrument 39.3
percussion instrument 39
keyboard instrument 35.4
bowed stringed instrument 19.2
barrow 16.8
silhouette 16.5
bench 15.1
people 14.5
building 14.3
city 14.1
handcart 14.1
black 13.8
violin 13.8
chair 12.9
man 12.8
sunset 12.6
dark 12.5
scene 12.1
light 12
water 12
wheeled vehicle 11.8
seat 11.3
sun 11.3
travel 11.3
male 10.6
urban 10.5
old 10.4
summer 10.3
window 10.2
sky 10.2
outdoor 9.9
cell 9.9
adult 9.9
sunlight 9.8
walking 9.5
architecture 9.4
street 9.2
couple 8.7
sea 8.6
empty 8.6
cello 8.5
room 8.5
relax 8.4
portrait 8.4
house 8.3
furniture 8.2
one 8.2
landscape 8.2
dirty 8.1
park bench 8
person 8
women 7.9
lonely 7.7
wall 7.7
wood 7.5
vehicle 7.2

Google
created on 2018-08-23

Microsoft
created on 2018-08-23

white 80.8
old 73
dining room 8.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-28
Gender Male, 99.9%
Calm 98.1%
Surprised 6.3%
Fear 5.9%
Sad 2.5%
Confused 0.2%
Disgusted 0.2%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 27-37
Gender Female, 98.6%
Disgusted 41%
Calm 34.8%
Happy 9.2%
Surprised 7.7%
Sad 6.9%
Fear 6.4%
Angry 1.5%
Confused 1%

AWS Rekognition

Age 24-34
Gender Male, 93.6%
Calm 80.2%
Angry 7.3%
Surprised 6.6%
Fear 6.1%
Sad 4.5%
Confused 2.6%
Happy 2.2%
Disgusted 1.3%

AWS Rekognition

Age 20-28
Gender Female, 99.7%
Happy 60.7%
Calm 16.6%
Disgusted 9.9%
Surprised 6.9%
Fear 6.7%
Angry 5%
Sad 3.1%
Confused 1.9%

AWS Rekognition

Age 14-22
Gender Female, 99.9%
Disgusted 37.9%
Calm 24.9%
Fear 21.5%
Surprised 6.6%
Sad 5.7%
Confused 5.6%
Happy 0.8%
Angry 0.8%

AWS Rekognition

Age 21-29
Gender Male, 99.3%
Calm 79.8%
Sad 10.8%
Surprised 6.5%
Fear 6.4%
Happy 4.4%
Angry 0.9%
Disgusted 0.6%
Confused 0.4%

AWS Rekognition

Age 22-30
Gender Female, 90.7%
Calm 72.5%
Happy 13.6%
Surprised 7%
Fear 6.4%
Sad 5.5%
Angry 2.2%
Disgusted 1.6%
Confused 0.6%

AWS Rekognition

Age 30-40
Gender Male, 99.5%
Disgusted 96.7%
Surprised 6.3%
Fear 6%
Sad 2.6%
Calm 0.9%
Angry 0.3%
Happy 0.2%
Confused 0.1%

AWS Rekognition

Age 47-53
Gender Male, 99.9%
Sad 89.1%
Calm 32.9%
Surprised 10.4%
Fear 7.3%
Happy 4.5%
Angry 4.1%
Confused 4%
Disgusted 3.2%

AWS Rekognition

Age 31-41
Gender Female, 98.5%
Calm 34.6%
Confused 29.3%
Sad 22.5%
Angry 7.7%
Surprised 7.5%
Fear 6.7%
Happy 4.3%
Disgusted 1.7%

AWS Rekognition

Age 25-35
Gender Female, 99.8%
Calm 57.8%
Surprised 16.3%
Angry 16.2%
Fear 7%
Sad 6.6%
Confused 1.2%
Disgusted 1%
Happy 0.5%

AWS Rekognition

Age 26-36
Gender Male, 99.7%
Disgusted 95.8%
Surprised 7%
Fear 5.9%
Sad 2.3%
Calm 1.5%
Happy 0.5%
Angry 0.2%
Confused 0.1%

AWS Rekognition

Age 22-30
Gender Male, 95%
Sad 99.8%
Calm 22%
Surprised 6.4%
Fear 6.2%
Confused 1.9%
Disgusted 1.2%
Happy 1%
Angry 0.8%

AWS Rekognition

Age 30-40
Gender Female, 86%
Calm 66.4%
Confused 17%
Angry 8.1%
Surprised 7%
Fear 6.3%
Disgusted 3.4%
Sad 2.5%
Happy 1.5%

AWS Rekognition

Age 24-34
Gender Male, 91.9%
Calm 92.9%
Surprised 6.4%
Fear 6.1%
Sad 2.5%
Angry 1.5%
Disgusted 1.4%
Confused 1.2%
Happy 1%

AWS Rekognition

Age 31-41
Gender Female, 99%
Happy 95.7%
Surprised 6.4%
Fear 6.1%
Sad 2.9%
Calm 0.6%
Disgusted 0.3%
Confused 0.3%
Angry 0.2%

AWS Rekognition

Age 28-38
Gender Female, 77.6%
Calm 91.4%
Surprised 7.4%
Fear 6.3%
Sad 2.6%
Angry 1.6%
Confused 1.2%
Disgusted 0.7%
Happy 0.6%

AWS Rekognition

Age 30-40
Gender Female, 66.8%
Calm 67.8%
Confused 25.5%
Surprised 6.5%
Fear 6.2%
Sad 3.4%
Angry 1%
Disgusted 0.6%
Happy 0.5%

AWS Rekognition

Age 26-36
Gender Male, 99.8%
Calm 33.4%
Disgusted 19.4%
Happy 18.9%
Angry 16%
Surprised 7.5%
Fear 6.6%
Sad 5%
Confused 2.2%

AWS Rekognition

Age 36-44
Gender Female, 99.9%
Happy 44.2%
Calm 24%
Surprised 21.3%
Fear 7.8%
Sad 4.5%
Disgusted 2.7%
Angry 2.1%
Confused 0.8%

AWS Rekognition

Age 36-44
Gender Male, 98.5%
Calm 94.2%
Surprised 6.4%
Fear 5.9%
Happy 3.1%
Sad 2.4%
Confused 0.7%
Disgusted 0.4%
Angry 0.3%

AWS Rekognition

Age 21-29
Gender Female, 89.6%
Calm 31.4%
Happy 30.2%
Angry 24.7%
Surprised 7.5%
Fear 6.5%
Sad 5.4%
Disgusted 2.2%
Confused 1.1%

AWS Rekognition

Age 26-36
Gender Female, 97.9%
Happy 95.5%
Surprised 7.3%
Fear 6.3%
Sad 2.2%
Calm 0.8%
Disgusted 0.2%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 34-42
Gender Male, 98.7%
Sad 96.7%
Calm 16.4%
Confused 15.1%
Angry 9.2%
Surprised 7.3%
Fear 6.4%
Disgusted 3.8%
Happy 2%

AWS Rekognition

Age 23-33
Gender Male, 85.8%
Disgusted 57.7%
Angry 23%
Surprised 7.1%
Fear 6.3%
Confused 4.9%
Sad 4.3%
Calm 3.8%
Happy 2.7%

AWS Rekognition

Age 37-45
Gender Female, 80.1%
Fear 52.6%
Surprised 16.7%
Calm 12.6%
Sad 10.9%
Disgusted 10.2%
Confused 3.8%
Happy 3.3%
Angry 2.4%

AWS Rekognition

Age 1-7
Gender Female, 98.8%
Calm 58.7%
Sad 23.1%
Happy 8%
Surprised 7.9%
Fear 7.3%
Disgusted 4.9%
Confused 2%
Angry 1.7%

AWS Rekognition

Age 33-41
Gender Male, 95.7%
Calm 76.1%
Surprised 7.5%
Angry 7.2%
Fear 6.7%
Disgusted 4.8%
Sad 4.4%
Confused 1.3%
Happy 1%

AWS Rekognition

Age 29-39
Gender Male, 94.4%
Sad 90.3%
Calm 40.3%
Confused 7.8%
Surprised 7.3%
Fear 6.1%
Disgusted 4%
Angry 1.9%
Happy 1.3%

AWS Rekognition

Age 30-40
Gender Male, 99.6%
Disgusted 78.1%
Calm 10.3%
Surprised 7.1%
Fear 6.1%
Happy 3.9%
Sad 2.7%
Confused 2.1%
Angry 1.9%

AWS Rekognition

Age 6-14
Gender Female, 89.4%
Calm 73.2%
Fear 8.7%
Surprised 8.4%
Sad 4.4%
Happy 3.9%
Angry 3.2%
Disgusted 2.7%
Confused 1.7%

AWS Rekognition

Age 29-39
Gender Male, 77%
Calm 84.2%
Sad 11.5%
Fear 6.6%
Surprised 6.3%
Happy 0.5%
Confused 0.4%
Disgusted 0.3%
Angry 0.2%

AWS Rekognition

Age 22-30
Gender Male, 98.2%
Calm 96.1%
Surprised 6.3%
Fear 6%
Sad 2.8%
Confused 0.7%
Angry 0.6%
Disgusted 0.2%
Happy 0.2%

AWS Rekognition

Age 28-38
Gender Male, 98.8%
Sad 97.9%
Calm 41.3%
Surprised 6.4%
Fear 6.2%
Disgusted 1.9%
Confused 0.9%
Angry 0.7%
Happy 0.3%

AWS Rekognition

Age 43-51
Gender Male, 87%
Sad 100%
Disgusted 7.6%
Confused 6.5%
Surprised 6.4%
Fear 6.1%
Happy 2.3%
Angry 0.3%
Calm 0.2%

AWS Rekognition

Age 18-26
Gender Female, 82.8%
Sad 84.8%
Calm 45.2%
Surprised 7.3%
Fear 6.5%
Happy 6.3%
Disgusted 2.5%
Angry 2.1%
Confused 1.7%

AWS Rekognition

Age 24-34
Gender Male, 72.5%
Calm 97.9%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Confused 0.7%
Angry 0.4%
Happy 0.3%
Disgusted 0.1%

AWS Rekognition

Age 24-34
Gender Male, 91.5%
Calm 84.5%
Sad 9.7%
Surprised 6.4%
Fear 6%
Happy 1.4%
Angry 0.9%
Confused 0.9%
Disgusted 0.5%

AWS Rekognition

Age 21-29
Gender Male, 99.1%
Calm 84.2%
Surprised 7.2%
Fear 6.4%
Happy 3.8%
Sad 3.6%
Confused 2.9%
Angry 1.2%
Disgusted 1.1%

AWS Rekognition

Age 23-31
Gender Female, 55%
Angry 42.9%
Surprised 17.2%
Calm 14.9%
Happy 9.2%
Fear 8.2%
Confused 5.8%
Disgusted 4.6%
Sad 3.8%

AWS Rekognition

Age 24-34
Gender Male, 89.9%
Sad 100%
Surprised 6.3%
Fear 6.1%
Angry 5.3%
Calm 0.5%
Disgusted 0.5%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 18-24
Gender Female, 83.6%
Fear 96.8%
Surprised 6.8%
Calm 3.6%
Sad 2.5%
Angry 0.8%
Happy 0.6%
Disgusted 0.4%
Confused 0.4%

AWS Rekognition

Age 23-33
Gender Male, 96.5%
Calm 81.4%
Happy 13.2%
Surprised 6.6%
Fear 6%
Sad 2.8%
Confused 1.5%
Disgusted 0.7%
Angry 0.4%

AWS Rekognition

Age 27-37
Gender Female, 83.6%
Fear 78.1%
Calm 25.8%
Happy 8.6%
Surprised 6.8%
Sad 2.6%
Angry 1.6%
Confused 0.9%
Disgusted 0.5%

AWS Rekognition

Age 40-48
Gender Male, 93.4%
Calm 79.7%
Confused 8.4%
Surprised 7.1%
Fear 6.5%
Sad 3.9%
Happy 1.9%
Disgusted 1.8%
Angry 0.8%

AWS Rekognition

Age 22-30
Gender Male, 97%
Calm 43.5%
Confused 36.8%
Sad 11.3%
Surprised 6.8%
Fear 6.4%
Happy 1.7%
Disgusted 1.7%
Angry 1.6%

AWS Rekognition

Age 25-35
Gender Female, 51.3%
Calm 43.7%
Confused 17%
Fear 11.7%
Surprised 10.6%
Angry 7.4%
Happy 5.6%
Sad 4.5%
Disgusted 3.1%

AWS Rekognition

Age 13-21
Gender Male, 71.1%
Calm 96.4%
Surprised 6.3%
Fear 6.1%
Sad 2.9%
Angry 0.4%
Confused 0.2%
Disgusted 0.2%
Happy 0.1%

Feature analysis

Amazon

Person 97.6%
Adult 95.2%
Bride 95.2%
Female 95.2%
Woman 95.2%