Human Generated Data

Title

Untitled (children in costumes auditioning for theater, sitting in long line )

Date

c. 1947

People

Artist: Jack Gould, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.15696.2

Human Generated Data

Title

Untitled (children in costumes auditioning for theater, sitting in long line )

People

Artist: Jack Gould, American

Date

c. 1947

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.15696.2

Machine Generated Data

Tags

Amazon
created on 2022-02-05

Person 99.3
Human 99.3
Person 99.3
Person 98.4
Person 96.9
Person 93.7
Person 92.4
Person 91.2
Poster 91.1
Advertisement 91.1
Person 83.2
Person 81.6
Clothing 77
Apparel 77
Person 76.3
Person 71.8
People 67.8
Person 63.4
Drawing 63
Art 63
Room 58.6
Indoors 58.6
Shoe 58.5
Footwear 58.5
Person 58
Person 55.3
Person 54.2

Clarifai
created on 2023-10-29

people 99.9
group 99.2
adult 98.3
man 97.5
many 95.8
group together 95.2
illustration 94.2
woman 94
monochrome 92.8
music 89.8
musician 87.8
war 83.8
child 82.7
crowd 82
dancing 81.1
military 80.2
administration 78.4
leader 78
retro 77.5
nostalgia 77.3

Imagga
created on 2022-02-05

billboard 43.3
signboard 35.1
structure 35
old 32.7
decoration 27.6
vintage 27.3
graffito 23.7
retro 23.7
grunge 23
ancient 21.6
art 20.4
drawing 19.8
balcony 18.2
antique 18.2
aged 18.1
letter 16.5
design 15.7
history 15.2
stamp 15
frame 14.1
postmark 13.8
card 13.6
mail 13.4
sketch 13
postage 12.8
architecture 12.7
paper 12.5
texture 12.5
circa 11.8
postal 11.8
historic 11
graphic 10.9
philately 10.9
wall 10.8
detail 10.5
blackboard 10.3
culture 10.3
money 10.2
envelope 10.1
message 10
paint 10
architectural 9.6
pattern 9.6
symbol 9.4
finance 9.3
travel 9.1
black 9
sculpture 9
currency 9
style 8.9
printed 8.8
memorial 8.8
building 8.8
bill 8.6
floral 8.5
representation 8.4
decorative 8.3
sign 8.3
cash 8.2
artwork 8.2
border 8.1
dirty 8.1
address 7.8
old fashioned 7.6
historical 7.5
note 7.3
ornate 7.3
backgrounds 7.3
carving 7.2
landmark 7.2
religion 7.2

Google
created on 2022-02-05

Microsoft
created on 2022-02-05

text 97.9
drawing 97.3
sketch 80.7
cartoon 77.5
black and white 73.4
art 73.3
group 63.2
painting 59.3
line 24
several 11.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-30
Gender Female, 99.3%
Calm 90%
Happy 5.7%
Sad 1.4%
Surprised 1.1%
Angry 0.6%
Fear 0.5%
Confused 0.3%
Disgusted 0.3%

AWS Rekognition

Age 12-20
Gender Male, 70.1%
Calm 83.8%
Happy 5.8%
Sad 5.3%
Angry 1.7%
Surprised 1.1%
Disgusted 1%
Fear 0.8%
Confused 0.6%

AWS Rekognition

Age 10-18
Gender Female, 95.3%
Calm 85.1%
Surprised 11.2%
Happy 1.6%
Sad 0.8%
Fear 0.5%
Angry 0.4%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 28-38
Gender Male, 89%
Calm 95.3%
Sad 2.7%
Surprised 0.8%
Confused 0.5%
Disgusted 0.2%
Happy 0.2%
Angry 0.2%
Fear 0.2%

AWS Rekognition

Age 10-18
Gender Female, 99.4%
Calm 51.7%
Sad 43.6%
Surprised 1.3%
Fear 1.2%
Confused 0.8%
Happy 0.7%
Disgusted 0.4%
Angry 0.3%

AWS Rekognition

Age 28-38
Gender Male, 68.8%
Happy 87.1%
Sad 5%
Calm 2.8%
Disgusted 1.4%
Angry 1.4%
Surprised 0.9%
Fear 0.8%
Confused 0.6%

AWS Rekognition

Age 30-40
Gender Male, 95.1%
Happy 56.4%
Calm 36.8%
Sad 3.4%
Surprised 1%
Angry 1%
Disgusted 0.8%
Fear 0.4%
Confused 0.3%

AWS Rekognition

Age 41-49
Gender Female, 87.8%
Calm 96.1%
Happy 2.1%
Surprised 1%
Sad 0.3%
Angry 0.2%
Disgusted 0.2%
Fear 0.1%
Confused 0.1%

AWS Rekognition

Age 16-22
Gender Female, 50.3%
Calm 96%
Disgusted 1%
Confused 0.7%
Happy 0.7%
Sad 0.7%
Surprised 0.4%
Fear 0.3%
Angry 0.3%

AWS Rekognition

Age 40-48
Gender Male, 51.7%
Happy 43.6%
Calm 38%
Sad 9.1%
Confused 3.1%
Angry 2%
Disgusted 1.5%
Surprised 1.5%
Fear 1%

AWS Rekognition

Age 20-28
Gender Male, 95.1%
Calm 71.3%
Sad 18%
Fear 4%
Happy 2.1%
Angry 1.9%
Confused 1.1%
Surprised 0.9%
Disgusted 0.8%

AWS Rekognition

Age 19-27
Gender Male, 89.3%
Happy 36.4%
Fear 23%
Calm 19.5%
Sad 11.1%
Surprised 3.7%
Angry 3.3%
Disgusted 2%
Confused 1.2%

AWS Rekognition

Age 24-34
Gender Male, 80.8%
Calm 59.9%
Happy 22%
Sad 10.5%
Angry 2.9%
Fear 1.4%
Disgusted 1.3%
Surprised 1.2%
Confused 0.9%

AWS Rekognition

Age 20-28
Gender Female, 97.3%
Calm 85.3%
Sad 11%
Confused 1.8%
Surprised 0.7%
Angry 0.5%
Disgusted 0.4%
Happy 0.2%
Fear 0.2%

AWS Rekognition

Age 25-35
Gender Male, 73.9%
Calm 31.4%
Sad 30.3%
Happy 22.3%
Fear 10.4%
Disgusted 1.8%
Angry 1.7%
Surprised 1.7%
Confused 0.4%

AWS Rekognition

Age 24-34
Gender Male, 73.7%
Fear 39.9%
Sad 17.7%
Happy 16.9%
Angry 11.5%
Calm 7.4%
Surprised 3.4%
Disgusted 2.7%
Confused 0.6%

AWS Rekognition

Age 22-30
Gender Male, 99.8%
Sad 41.5%
Angry 19.1%
Fear 11.2%
Happy 11%
Calm 8.8%
Surprised 4.1%
Disgusted 2.8%
Confused 1.6%

AWS Rekognition

Age 31-41
Gender Male, 61.7%
Calm 95.6%
Sad 3.6%
Surprised 0.2%
Angry 0.2%
Confused 0.1%
Fear 0.1%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 24-34
Gender Male, 99.3%
Sad 40.6%
Calm 29%
Happy 10.3%
Angry 7.7%
Fear 6.2%
Disgusted 2.8%
Surprised 2.7%
Confused 0.6%

AWS Rekognition

Age 21-29
Gender Female, 57.5%
Calm 47.5%
Sad 38%
Disgusted 4.5%
Angry 3.4%
Happy 2.9%
Fear 1.6%
Confused 1.2%
Surprised 0.8%

AWS Rekognition

Age 33-41
Gender Female, 99.7%
Sad 97.8%
Calm 1.7%
Confused 0.3%
Surprised 0.1%
Disgusted 0%
Angry 0%
Happy 0%
Fear 0%

Feature analysis

Amazon

Person
Poster
Shoe
Person 99.3%
Person 99.3%
Person 98.4%
Person 96.9%
Person 93.7%
Person 92.4%
Person 91.2%
Person 83.2%
Person 81.6%
Person 76.3%
Person 71.8%
Person 63.4%
Person 58%
Person 55.3%
Person 54.2%
Poster 91.1%
Shoe 58.5%

Categories