Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Clothes Folding - Laundry Class.

Date

c. 1903

People

Artist: William A. Webster, American active mid-19th-early 20th century

Classification

Photographs

Human Generated Data

Title

Defectives, Feeble-minded: United States. Massachusetts. Waverly. School for Feeble-minded: Massachusetts School for the Feeble-Minded.: Clothes Folding - Laundry Class.

People

Artist: William A. Webster, American active mid-19th-early 20th century

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

School 99.7
Room 99.7
Indoors 99.7
Classroom 99.7
Human 97.9
Person 97.9
Person 97.5
Person 97.3
Person 91.3
Person 90.5
Person 89.3
Person 86
Person 83.9
Person 81.1
Person 72.8
Person 69.2
Person 63.5
Clinic 58.4
Workshop 56.6
Bedroom 55.2

Clarifai

people 100
group 99.5
many 99.1
adult 98.8
woman 98.2
group together 97.9
education 96.8
man 96.5
school 95.1
room 94.4
several 94
furniture 93.9
child 93.8
indoors 92.7
teacher 92.2
elementary school 91.4
leader 90.2
sit 89.4
wear 87
boy 86.8

Imagga

person 42.4
student 39.9
man 32.3
male 30.5
people 29.6
enrollee 29.3
adult 27.5
professional 27.2
room 26.9
teacher 26.2
office 26
business 25.5
businessman 23.8
indoors 22.8
indoor 21.9
colleagues 21.4
hospital 20.1
happy 20
businesspeople 19
men 18.9
group 18.5
educator 18.3
table 18.2
businesswoman 18.2
smiling 18.1
sitting 18
desk 17
meeting 17
home 16.8
couple 16.6
mature 15.8
casual 15.3
computer 15.2
vestment 14.8
talking 14.3
work 14.1
together 14
gown 13.7
clothing 13.6
classroom 13.3
cheerful 13
20s 12.8
associates 12.8
team 12.5
chair 12.5
30s 12.5
job 12.4
color 12.2
education 12.1
smile 12.1
corporate 12
women 11.9
coworkers 11.8
day 11.8
happiness 11.8
restaurant 11.7
40s 11.7
interior 11.5
working 11.5
teamwork 11.1
portrait 11
lifestyle 10.8
face 10.7
medical 10.6
four 10.5
modern 10.5
doctor 10.3
senior 10.3
worker 10.1
occupation 10.1
communication 10.1
horizontal 10
life 9.8
board 9
outerwear 8.9
handsome 8.9
looking 8.8
mid adult 8.7
class 8.7
employee 8.7
practitioner 8.5
manager 8.4
laptop 8.2
confident 8.2
light 8
boardroom 7.9
30 35 years 7.9
25 30 years 7.8
casual clothing 7.8
corporation 7.7
busy 7.7
diversity 7.7
executive 7.7
ethnic 7.6
career 7.6
patient 7.5
study 7.5
camera 7.4
marimba 7.4
friendly 7.3
love 7.1
hall 7

Google

Photograph 94.8
Room 82.1
Event 76.3
Function hall 57.2
Uniform 56.8
Black-and-white 56.4
Monochrome 54.4
Building 50.8

Microsoft

table 97.5
indoor 95.6
furniture 93
clothing 79
person 77.5
chair 68.5
white 63.5
woman 52.6
old 47.7
clothes 35.8

Face analysis

Amazon

AWS Rekognition

Age 2-5
Gender Female, 53.6%
Angry 45.4%
Calm 47.7%
Sad 48.8%
Confused 45.7%
Disgusted 45.2%
Happy 45.4%
Surprised 46.8%

AWS Rekognition

Age 16-27
Gender Female, 52.9%
Angry 45.7%
Calm 46.1%
Sad 46.6%
Confused 45.8%
Disgusted 45.3%
Happy 49.6%
Surprised 45.9%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Sad 47.4%
Happy 47%
Disgusted 45.9%
Calm 46.1%
Angry 46.8%
Confused 45.5%
Surprised 46.2%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 50.2%
Happy 49.6%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Sad 50.1%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 9-14
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Sad 50.2%
Confused 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 50%
Surprised 49.6%
Disgusted 49.5%
Confused 49.5%
Sad 49.7%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 4-7
Gender Female, 53.9%
Angry 51.2%
Happy 45.2%
Surprised 45.2%
Calm 45.7%
Confused 45.2%
Sad 47.1%
Disgusted 45.3%

AWS Rekognition

Age 14-23
Gender Female, 50.2%
Surprised 45.4%
Happy 45.2%
Confused 45.9%
Sad 49.7%
Calm 47.5%
Disgusted 45.5%
Angry 45.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.6%
Calm 49.7%
Sad 49.7%
Angry 49.8%
Confused 49.6%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.1%
Sad 50.1%
Happy 49.5%
Disgusted 49.6%
Calm 49.5%
Angry 49.7%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 50.4%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Disgusted 49.6%
Calm 50.1%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.6%
Calm 49.7%
Angry 49.6%
Sad 49.9%
Happy 49.7%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Calm 49.9%
Angry 49.7%
Sad 49.6%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Sad 49.9%
Disgusted 49.7%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 52.9%
Calm 54.2%
Sad 45.4%
Disgusted 45.1%
Happy 45.1%
Surprised 45.1%
Angry 45.1%
Confused 45.1%

Feature analysis

Amazon

Person 97.9%

Captions

Microsoft

a group of people in a room 94.8%
a group of people standing in a room 91.5%
a group of people around a table 82.1%