Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.: Dancing Class
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.B.6

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.: Dancing Class

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.B.6

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Person 99.6
Human 99.6
Person 99.2
Person 98.6
Person 98.3
Person 98.2
Person 97.8
Person 97.6
Person 97.5
Clothing 95.1
Apparel 95.1
Person 93.6
Person 93.6
Person 88.6
Person 88.3
People 80.4
Person 80.1
Guitar 72.6
Musical Instrument 72.6
Leisure Activities 72.6
Tartan 71.5
Plaid 71.5
Symbol 66.1
Face 59.6
Skirt 59.5
Building 58.9
Cross 56.5
Person 43.3

Imagga
created on 2022-06-25

kin 32.4
people 30.1
man 24.8
clothing 24.3
person 23
adult 21.1
male 20.6
fashion 18.8
happy 16.3
dress 16.3
shop 16.1
traditional 15.8
portrait 15.5
uniform 15.5
couple 13.9
costume 13.6
women 13.4
family 13.3
holiday 12.9
two 12.7
world 12.4
old 11.8
activity 11.6
military uniform 11.5
happiness 11
store 10.4
home 10.4
business 10.3
senior 10.3
men 10.3
black 10.3
culture 10.2
tradition 10.2
smile 10
kimono 9.9
human 9.7
interior 9.7
group 9.7
style 9.6
love 9.5
garment 9.4
lifestyle 9.4
child 9.4
clothes 9.4
face 9.2
shopping 9.2
city 9.1
lady 8.9
hospital 8.8
soldier 8.8
urban 8.7
military 8.7
scene 8.6
ancient 8.6
mask 8.6
covering 8.6
attractive 8.4
mother 8.3
fun 8.2
celebrate 8.1
to 8
decoration 8
window 7.9
together 7.9
standing 7.8
elderly 7.7
jeans 7.6
bag 7.5
room 7.5
life 7.4
girls 7.3
protection 7.3
celebration 7.2
colorful 7.2
history 7.1
robe 7.1
consumer goods 7

Google
created on 2022-06-25

Dress 88
Standing 86.4
Black-and-white 84.9
Style 83.9
Musical instrument 81.1
Vintage clothing 76.6
Monochrome 74.2
Event 73.8
Monochrome photography 73.6
History 67.5
Art 66.5
Room 65.6
Stock photography 64.5
Tartan 61.7
Street 59.3
Suit 59
Crowd 58.1
Hat 57.8
Musician 55.7
Folk instrument 52

Microsoft
created on 2022-06-25

person 99.5
clothing 97.9
group 92.3
standing 84.4
people 72
posing 62.7
white 62.1
woman 60.3
man 58.8
old 57.5
clothes 17.5

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 10-18
Gender Female, 89%
Fear 97.3%
Surprised 6.3%
Sad 3.2%
Calm 2.1%
Disgusted 0.1%
Angry 0.1%
Happy 0.1%
Confused 0.1%

AWS Rekognition

Age 2-10
Gender Male, 90.1%
Calm 68.7%
Sad 28.6%
Fear 6.7%
Surprised 6.6%
Angry 3.5%
Confused 2.3%
Disgusted 1.9%
Happy 0.7%

AWS Rekognition

Age 22-30
Gender Male, 99.9%
Fear 54.3%
Disgusted 16.7%
Sad 11.8%
Calm 8.8%
Happy 8.2%
Surprised 7.1%
Confused 4.1%
Angry 4%

AWS Rekognition

Age 18-26
Gender Female, 98.5%
Angry 60.5%
Disgusted 32.8%
Surprised 7%
Fear 6.1%
Sad 2.6%
Confused 1.6%
Calm 1.2%
Happy 0.5%

AWS Rekognition

Age 6-14
Gender Female, 100%
Sad 100%
Confused 7.7%
Fear 7.1%
Surprised 6.6%
Calm 2.7%
Angry 2.7%
Disgusted 1.5%
Happy 1.3%

AWS Rekognition

Age 16-24
Gender Female, 77%
Calm 95.5%
Surprised 6.4%
Fear 6.1%
Sad 2.8%
Disgusted 0.8%
Confused 0.4%
Angry 0.4%
Happy 0.2%

AWS Rekognition

Age 20-28
Gender Male, 66.9%
Calm 96.6%
Surprised 6.9%
Fear 5.9%
Sad 2.5%
Angry 0.5%
Disgusted 0.3%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 19-27
Gender Female, 98.8%
Fear 97.5%
Surprised 6.6%
Sad 2.9%
Disgusted 0.4%
Confused 0.4%
Calm 0.4%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 18-26
Gender Female, 81.3%
Calm 94%
Surprised 6.7%
Fear 6.3%
Sad 2.5%
Angry 1.4%
Disgusted 1%
Confused 0.5%
Happy 0.3%

AWS Rekognition

Age 16-22
Gender Female, 52.4%
Angry 44.6%
Fear 36.4%
Calm 12.9%
Surprised 7.6%
Disgusted 4.1%
Sad 2.4%
Happy 1.6%
Confused 0.5%

AWS Rekognition

Age 22-30
Gender Female, 96.9%
Calm 56.6%
Fear 30.6%
Surprised 8.4%
Sad 3.5%
Angry 3.2%
Happy 1.4%
Disgusted 1.4%
Confused 1.2%

AWS Rekognition

Age 2-8
Gender Male, 95%
Calm 76.7%
Fear 14.8%
Surprised 8.2%
Sad 2.8%
Angry 0.9%
Disgusted 0.7%
Happy 0.6%
Confused 0.5%

AWS Rekognition

Age 16-24
Gender Male, 95.8%
Fear 81.4%
Calm 33.1%
Surprised 6.4%
Sad 2.6%
Happy 0.7%
Angry 0.5%
Disgusted 0.4%
Confused 0.3%

AWS Rekognition

Age 1-7
Gender Female, 90.7%
Calm 99%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Happy 0%
Angry 0%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 16-22
Gender Male, 81.7%
Sad 99.8%
Calm 22.6%
Fear 7.3%
Surprised 6.8%
Confused 1%
Disgusted 1%
Angry 0.8%
Happy 0.4%

AWS Rekognition

Age 20-28
Gender Female, 99.5%
Sad 99.9%
Disgusted 8.1%
Surprised 7%
Fear 6.9%
Confused 3.9%
Angry 2.7%
Calm 2.3%
Happy 0.9%

AWS Rekognition

Age 25-35
Gender Female, 85%
Angry 48.2%
Calm 24.5%
Surprised 14.6%
Fear 11.3%
Sad 3.1%
Disgusted 1.4%
Confused 1.2%
Happy 0.4%

AWS Rekognition

Age 20-28
Gender Female, 89.5%
Calm 52%
Angry 14.1%
Surprised 13.3%
Confused 8.5%
Fear 8.2%
Sad 4.5%
Disgusted 2.8%
Happy 2.1%

AWS Rekognition

Age 23-31
Gender Female, 53.9%
Sad 98.6%
Calm 34.9%
Fear 7.1%
Surprised 7%
Angry 1.3%
Disgusted 1.2%
Happy 0.7%
Confused 0.6%

AWS Rekognition

Age 43-51
Gender Male, 99.1%
Calm 97.1%
Surprised 6.7%
Fear 5.9%
Sad 2.2%
Confused 1%
Disgusted 0.3%
Happy 0.2%
Angry 0.2%

AWS Rekognition

Age 19-27
Gender Male, 99.9%
Calm 91.6%
Surprised 6.7%
Fear 6.1%
Angry 3.3%
Sad 2.7%
Confused 1%
Disgusted 0.8%
Happy 0.2%

AWS Rekognition

Age 20-28
Gender Female, 94.7%
Calm 93.5%
Surprised 8.4%
Fear 6%
Sad 2.4%
Angry 0.7%
Disgusted 0.4%
Happy 0.4%
Confused 0.2%

AWS Rekognition

Age 18-26
Gender Female, 94.2%
Sad 100%
Surprised 6.6%
Fear 6.3%
Calm 2.7%
Angry 2.4%
Disgusted 0.7%
Confused 0.6%
Happy 0.3%

AWS Rekognition

Age 23-33
Gender Male, 78.3%
Sad 84.5%
Disgusted 20%
Fear 16.2%
Angry 12.3%
Surprised 7.4%
Calm 6%
Confused 2.7%
Happy 1.6%

AWS Rekognition

Age 6-14
Gender Male, 95.5%
Fear 88.9%
Sad 36.5%
Surprised 6.4%
Angry 2%
Calm 1.3%
Disgusted 0.7%
Happy 0.3%
Confused 0.2%

AWS Rekognition

Age 18-24
Gender Male, 93.5%
Calm 49.6%
Fear 21.5%
Confused 8.7%
Sad 8.2%
Surprised 7.5%
Disgusted 4%
Angry 2.5%
Happy 1.1%

AWS Rekognition

Age 21-29
Gender Male, 72.8%
Calm 98.4%
Surprised 6.3%
Fear 6%
Sad 2.4%
Confused 0.1%
Angry 0.1%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 16-24
Gender Male, 96.6%
Happy 84.6%
Fear 8%
Surprised 7%
Calm 4.5%
Sad 2.6%
Angry 1.7%
Disgusted 1.2%
Confused 0.3%

AWS Rekognition

Age 18-24
Gender Male, 81.1%
Sad 100%
Fear 6.8%
Surprised 6.5%
Calm 2.8%
Angry 2.4%
Happy 0.7%
Disgusted 0.6%
Confused 0.5%

AWS Rekognition

Age 18-26
Gender Male, 88.7%
Sad 52.5%
Fear 37.1%
Calm 20.2%
Disgusted 8.6%
Surprised 7.9%
Angry 3.8%
Confused 1.9%
Happy 1.7%

AWS Rekognition

Age 14-22
Gender Male, 77.5%
Calm 87.1%
Sad 10.6%
Surprised 6.3%
Fear 5.9%
Angry 0.4%
Disgusted 0.2%
Confused 0.1%
Happy 0.1%

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 Likely

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

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 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 Possible

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 Likely

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 99.6%
Guitar 72.6%