Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools:New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Schools: Public School No.32 Brooklyn: Carpenter Shop.

Date

1902

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools:New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Schools: Public School No.32 Brooklyn: Carpenter Shop.

People

Artist: Unidentified Artist,

Date

1902

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 99.5
Human 99.5
Person 99.5
Person 99.3
Person 99.2
Building 99.1
Factory 97.4
Person 97.4
Person 96.7
Person 96.4
Person 95.4
Person 95.3
Person 94.9
Person 94.5
Person 91.1
Assembly Line 90.1
Person 83
Person 81.4
Manufacturing 65.9
Lab 63.7
School 62.6
Person 62.3

Clarifai

people 100
group 99.9
many 99.7
adult 98.8
group together 98.6
man 96.9
woman 96.8
furniture 96.1
administration 95.8
war 95.6
room 95.3
vehicle 94.3
child 93.9
military 93.6
education 93.1
several 91.6
punishment 91.1
sit 90
wear 89.9
indoors 87.8

Imagga

room 33.8
classroom 28.4
building 21.4
interior 20.3
architecture 17.2
musical instrument 15.9
city 14.9
window 13.9
old 13.2
chair 13.1
people 12.8
house 12.5
indoors 12.3
travel 12
decoration 11.9
home 11.1
floor 11.1
stringed instrument 11
structure 10.7
urban 10.5
table 10.5
prison 10.4
furniture 10.2
percussion instrument 10.2
indoor 10
decor 9.7
art 9.4
wall 9.4
light 9.3
glass 9.3
modern 9.1
tourism 9.1
transportation 9
man 8.7
stone 8.4
monument 8.4
sculpture 8.4
correctional institution 8.3
traditional 8.3
banjo 8
life 7.9
women 7.9
business 7.9
design 7.9
day 7.8
statue 7.8
luxury 7.7
lamp 7.6
elegance 7.5
tradition 7.4
restaurant 7.4
water 7.3
landmark 7.2
religion 7.2
holiday 7.2
history 7.1
adult 7.1

Google

Art 50.2

Microsoft

person 98.7
library 93.2
clothing 91.4
old 90.2
table 66.2
man 61.8
photograph 52.5
several 10.8

Face analysis

Amazon

Google

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Happy 45.1%
Disgusted 45.2%
Confused 45.1%
Angry 45.4%
Surprised 45%
Sad 54.1%
Calm 45.2%

AWS Rekognition

Age 26-43
Gender Male, 51.6%
Angry 45.5%
Surprised 45.1%
Calm 46.2%
Sad 53%
Happy 45.1%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 2-5
Gender Female, 50.3%
Disgusted 45.5%
Sad 48.9%
Happy 45.2%
Confused 45.6%
Surprised 45.4%
Calm 47.9%
Angry 46.5%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Calm 45.5%
Confused 45.3%
Sad 51.6%
Angry 46.2%
Happy 45.7%
Disgusted 45.4%
Surprised 45.3%

AWS Rekognition

Age 10-15
Gender Male, 53.7%
Calm 45.1%
Happy 45.1%
Confused 45.1%
Angry 50.5%
Disgusted 45.3%
Surprised 45.1%
Sad 48.8%

AWS Rekognition

Age 14-25
Gender Female, 51.5%
Happy 45.3%
Sad 53.9%
Calm 45.1%
Confused 45.1%
Angry 45.4%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 14-25
Gender Female, 52%
Happy 46.2%
Confused 45.2%
Surprised 45.4%
Angry 47.2%
Calm 45.2%
Sad 49.8%
Disgusted 46%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.6%
Calm 49.6%
Angry 49.5%
Confused 49.5%
Sad 50.3%
Surprised 49.5%

AWS Rekognition

Age 11-18
Gender Female, 51.8%
Angry 45.2%
Calm 45.3%
Confused 45.1%
Disgusted 45.1%
Happy 45.2%
Sad 54.1%
Surprised 45.1%

AWS Rekognition

Age 16-27
Gender Female, 50%
Confused 49.6%
Sad 49.7%
Surprised 49.6%
Happy 49.8%
Angry 49.6%
Disgusted 49.5%
Calm 49.7%

AWS Rekognition

Age 35-55
Gender Female, 50.3%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.5%
Sad 50.3%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.9%
Happy 49.6%
Sad 49.9%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%
Sad 49.9%
Confused 49.5%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 50.3%
Happy 49.6%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Angry 50%
Calm 49.5%
Sad 49.9%
Disgusted 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.3%
Disgusted 49.6%
Sad 49.9%
Calm 49.6%
Happy 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Calm 50%
Confused 49.5%
Sad 49.6%
Angry 49.5%
Happy 49.7%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 52.7%
Disgusted 45.2%
Happy 45%
Confused 45.8%
Sad 46.2%
Angry 52.1%
Surprised 45.4%
Calm 45.4%

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Angry 49.6%
Sad 49.8%
Disgusted 49.6%
Happy 49.8%
Calm 49.6%
Confused 49.6%
Surprised 49.6%

Google Vision

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

Feature analysis

Amazon

Person 99.5%

Captions

Microsoft

a vintage photo of a group of people in a room 87.4%
an old photo of a group of people in a room 87.3%
old photo of a group of people in a room 86.7%

Text analysis

Amazon

3
7
NACATION
BROOKLYN.
P.S
NACATION 3 BROOKLYN. Scnools.
2044.
Aucust
Aucust 13*71007. 2044.
13*71007.
Scnools.
2 7
2

Google

C 7 C P.S 32.BROOKLYN. NACATION SCHOOLS AudusT 132100 7044
C
NACATION
132100
AudusT
7
P.S
32.BROOKLYN.
SCHOOLS
7044