Human Generated Data

Title

Races, Negroes: United States. Alabama. Tuskegee. Tuskegee Institute: Agencies Promoting the Assimilation of the Negro. Training for Commercial and Industrial Employement. Tuskegee Institute, Tuskegee, Alabama: Millinery Division.
Date

1902
People

Artist: Frances Benjamin Johnston, American 1864 - 1952
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.277

Human Generated Data

Title

Races, Negroes: United States. Alabama. Tuskegee. Tuskegee Institute: Agencies Promoting the Assimilation of the Negro. Training for Commercial and Industrial Employement. Tuskegee Institute, Tuskegee, Alabama: Millinery Division.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1902

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.277

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Restaurant 100
Cafeteria 98
Person 97.9
Human 97.9
Person 97.7
Person 97.3
Food Court 96.6
Food 96.6
Person 96.4
Person 96.2
Person 95.3
Person 95
Person 94.6
Person 92.6
Cafe 90.3
Person 89.7
Person 79.7
Person 78.8
Person 70.5
Person 68.3
Table 68
Furniture 68
Dining Table 67.9
Meal 65.5

Imagga
created on 2022-06-04

percussion instrument 100
musical instrument 93.5
marimba 74.1
steel drum 61.3
chair 44.7
room 40.4
interior 38
table 36.4
classroom 26.4
restaurant 25.9
dining 21.9
house 21.7
furniture 19.1
floor 18.6
modern 17.5
home 16.7
inside 16.6
glass 16.3
cafeteria 16.2
dinner 15.1
decor 15
wood 15
indoors 14.9
tables 14.8
design 14.6
style 14.1
chairs 13.7
architecture 13.3
building 13.3
indoor 12.8
drink 12.5
city 12.5
comfortable 12.4
food 12.1
lunch 12
decoration 11.6
people 11.1
stool 10.9
seat 10.8
kitchen 10.7
window 10.1
eat 10.1
light 10
hall 10
counter 9.8
urban 9.6
sitting 9.4
contemporary 9.4
lifestyle 9.4
life 9.4
kettle 9.3
wall 8.5
business 8.5
teacher 8.5
relax 8.4
coffee 8.3
meal 8.1
male 7.8
education 7.8
empty 7.7
luxury 7.7
lamp 7.6
place 7.4
service 7.4
bar 7.4
man 7.4
street 7.4
stylish 7.2
school 7.2
day 7.1

Google
created on 2022-06-04

Furniture 93.6
Table 92.5
Chair 79.8
Event 72.9
Vintage clothing 67.7
Sitting 65.3
Monochrome 63.9
Monochrome photography 61.6
Room 61.1
Class 60.3
Writing desk 58.2
Cafeteria 56.4
Building 56.4
Hall 56.3
Art 53.6
History 52.1
Academic institution 51.5
School 50.9

Microsoft
created on 2022-06-04

table 99.7
indoor 99.6
wall 98.7
floor 96.5
chair 91.3
old 87.1
room 85.9
text 82.8
library 76.3
kitchen & dining room table 70.6
coffee table 50.7
furniture 47.9

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 14-22
Gender Female, 99.9%
Sad 100%
Surprised 6.3%
Fear 5.9%
Calm 0.5%
Confused 0.1%
Angry 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 26-36
Gender Female, 93.3%
Calm 26%
Happy 20.5%
Fear 17.1%
Disgusted 11.1%
Surprised 10.6%
Sad 9%
Angry 3.8%
Confused 3.5%

AWS Rekognition

Age 25-35
Gender Female, 98.8%
Calm 87.7%
Sad 7.3%
Surprised 6.5%
Fear 6%
Confused 1.4%
Angry 0.5%
Disgusted 0.4%
Happy 0.2%

AWS Rekognition

Age 21-29
Gender Male, 97.2%
Sad 99.8%
Calm 21.2%
Surprised 6.8%
Fear 6.2%
Confused 3.6%
Angry 1%
Happy 0.8%
Disgusted 0.6%

AWS Rekognition

Age 21-29
Gender Male, 88.5%
Calm 54.8%
Confused 24.6%
Sad 16.5%
Surprised 7.1%
Fear 6.2%
Disgusted 1.2%
Angry 0.9%
Happy 0.7%

AWS Rekognition

Age 23-31
Gender Female, 96%
Calm 88.8%
Sad 8.1%
Surprised 6.3%
Fear 5.9%
Confused 1.2%
Angry 0.1%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 18-24
Gender Female, 96.3%
Calm 54.4%
Sad 45.5%
Fear 9.8%
Surprised 6.8%
Happy 5.4%
Disgusted 2.7%
Confused 1.9%
Angry 0.9%

AWS Rekognition

Age 16-22
Gender Female, 100%
Calm 51.2%
Sad 32.4%
Surprised 13.3%
Fear 9.1%
Confused 4.1%
Angry 2.4%
Happy 2%
Disgusted 2%

AWS Rekognition

Age 18-26
Gender Female, 89.3%
Calm 92.7%
Surprised 6.6%
Fear 6%
Sad 3.4%
Confused 1%
Angry 0.9%
Disgusted 0.6%
Happy 0.3%

AWS Rekognition

Age 21-29
Gender Female, 99.9%
Calm 76.1%
Sad 25.5%
Surprised 6.5%
Fear 6.1%
Disgusted 2.2%
Angry 0.7%
Confused 0.4%
Happy 0.3%

AWS Rekognition

Age 19-27
Gender Female, 100%
Sad 99.9%
Calm 23.1%
Surprised 6.3%
Fear 6%
Happy 0.3%
Confused 0.3%
Disgusted 0.2%
Angry 0.2%

AWS Rekognition

Age 21-29
Gender Female, 78.8%
Sad 94.7%
Calm 48%
Surprised 6.5%
Fear 6%
Angry 1.4%
Confused 1%
Disgusted 1%
Happy 0.8%

AWS Rekognition

Age 23-33
Gender Female, 86.4%
Calm 87.7%
Surprised 6.5%
Fear 6%
Sad 5.5%
Disgusted 1.6%
Confused 1.1%
Happy 1.1%
Angry 0.8%

AWS Rekognition

Age 35-43
Gender Female, 99.1%
Calm 60.5%
Happy 10.2%
Sad 8.9%
Surprised 7.2%
Fear 7%
Disgusted 5.7%
Confused 5.3%
Angry 3.3%

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 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 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 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 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 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

Feature analysis

Amazon

Person 97.9%

Categories

Imagga

streetview architecture 79.7%
interior objects 18.8%

Text analysis

Amazon

3
BANDEAU
SAILOR
DIVISION
MILLIMERY DIVISION
MILLIMERY

Google

EX
MILLINERY DIVISION. SAILOR BANDEAU EX
MILLINERY
DIVISION
.
SAILOR
BANDEAU