Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Carpenter Shop. Public School 32. Bronx.

Date

c. 1900

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Carpenter Shop. Public School 32. Bronx.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 99.2
Human 99.2
Person 99.1
Person 98.3
Lab 96.2
Person 96
Person 95.1
Person 92.6
Workshop 90.5
Apparel 88.9
Clothing 88.9
Person 88.2
Person 84
Person 80.5
School 77.4
Person 76.4
Building 76.3
Room 64.5
Indoors 64.5
Classroom 64.5
Machine 63.1
Factory 61.1
Footwear 57.1
Shoe 57.1

Clarifai

people 99.9
group 99.5
adult 97.9
many 97
administration 96.9
room 96.2
man 95.8
furniture 95.2
group together 95
war 94.7
desk 94.6
education 93.3
teacher 90.4
woman 89.5
child 88.6
several 88.4
home 87.8
school 87
military 86.1
leader 86

Imagga

barbershop 100
shop 88.3
mercantile establishment 67.4
interior 65.4
home 51
kitchen 50.1
house 45.9
room 45.6
place of business 44.9
modern 38.5
furniture 38.4
inside 34
decor 30.9
table 29.6
chair 28.2
indoor 27.4
design 27
luxury 25.7
wood 25
counter 24
stove 23.9
floor 22.3
establishment 22.3
cabinet 21.8
decoration 18.8
style 18.5
salon 18.5
indoors 18.4
oven 18.4
architecture 18
contemporary 16.9
light 16.7
sink 16.7
window 16.5
apartment 16.3
cabinets 15.8
cooking 15.7
residential 15.3
cook 14.6
food 14.5
comfortable 14.3
lamp 14.3
glass 14
elegant 13.7
luxurious 13.6
expensive 13.4
estate 13.3
wall 12.8
dining 12.4
real 11.4
restaurant 11.3
clean 10.9
domestic 10.8
stylish 10.8
granite 10.8
tile 10.7
stainless 10.7
wooden 10.5
appliance 10.2
dinner 10.1
elegance 10.1
remodel 9.9
chairs 9.8
residence 9.7
island 9.2
microwave 8.9
appliances 8.9
refrigerator 8.9
lifestyle 8.7
shelf 8.6
mirror 8.6
decorate 8.6
living 8.5
bar 8.3
seat 8.1
new 8.1
steel 8
cupboard 7.9
drawer 7.9
stool 7.9
upscale 7.9
lighting 7.7
comfort 7.7
decorated 7.7
drink 7.5
plant 7.5
equipment 7.3

Google

Room 83.1
Furniture 71.4
Toolroom 68.1
Classroom 66
Office 63.7
Building 63.1
Table 58.6
Machine 58
Class 56.1
Workbench 55.9
Laboratory 55.3
Art 50.2

Microsoft

table 97
indoor 96
person 95.6
furniture 93.6
clothing 90.9
kitchen 87.8
desk 75.2
old 73.5
working 70.3
preparing 55.5
cluttered 36.4
cooking 31.4
miller 6.4

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 51.9%
Disgusted 45.1%
Sad 54.1%
Calm 45.4%
Confused 45.1%
Happy 45.1%
Surprised 45.1%
Angry 45.2%

AWS Rekognition

Age 14-23
Gender Female, 50.1%
Calm 49.6%
Sad 50.4%
Angry 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Male, 53.4%
Surprised 45.2%
Confused 45.2%
Happy 45.2%
Calm 46.9%
Disgusted 50.5%
Sad 46.7%
Angry 45.3%

AWS Rekognition

Age 20-38
Gender Female, 51.8%
Angry 52.2%
Disgusted 46.2%
Sad 45.8%
Surprised 45.2%
Happy 45.2%
Calm 45.1%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Angry 49.6%
Surprised 49.5%
Sad 50%
Disgusted 49.5%
Confused 49.6%
Happy 49.7%
Calm 49.6%

AWS Rekognition

Age 2-5
Gender Male, 50.3%
Angry 49.8%
Sad 49.5%
Disgusted 49.5%
Calm 50%
Surprised 49.5%
Confused 49.5%
Happy 49.5%

Feature analysis

Amazon

Person 99.2%
Shoe 57.1%

Captions

Microsoft

a group of people in a kitchen 87.2%
a group of people standing in a kitchen 82.7%
a group of people preparing food in a kitchen 82.6%

Text analysis

Amazon

33
PS.32.BRONX.
P.S.32 PS.32.BRONX.
P.S.32

Google

C
C 33 P.S.32. BRONX.
33
P.S.32.
BRONX.