Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: Machine Shop.

Date

1899-1900

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Classification

Photographs

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Hampton Normal and Agricultural Institute, Hampton, Va.: Machine Shop.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1899-1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 99.8
Human 99.8
Person 99.6
Person 99.6
Person 99.1
Furniture 98.6
Person 97.5
Person 96.9
Chair 95.6
Building 95.5
Table 94.4
Factory 93.5
Tabletop 93.4
Person 92.9
Person 92.8
Person 92
Person 90.6
Apparel 85.3
Footwear 85.3
Shoe 85.3
Clothing 85.3
Chair 82.4
Assembly Line 80.7
Bench 80
Person 78.8
Person 70.6
Workshop 59.3
Restaurant 58.6
Cafeteria 58.2
Crowd 57

Clarifai

people 100
group together 99.4
group 99.1
many 98.7
adult 98.5
man 95.2
vehicle 94.6
woman 92.8
several 92.6
employee 90.6
wear 89
administration 87.8
furniture 85.4
military 85.1
transportation system 82.6
watercraft 81
war 79.7
room 78.1
two 75.6
dig 73.6

Imagga

building 28.5
chair 23.8
brass 22.3
wind instrument 18.6
work 18.5
industrial 18.1
industry 17.9
modern 17.5
factory 17.4
architecture 17.2
steel 17.1
business 17
urban 16.6
engineering 16.2
room 15.2
musical instrument 15.2
planner 14.7
person 14.6
structure 13.7
metal 13.7
power 13.4
table 13
city 12.5
engineer 12.3
trombone 12.1
construction 12
people 11.7
equipment 11.7
interior 11.5
man 11.4
plant 11.2
sky 10.8
device 10.8
manufacturing 10.7
pipe 10.7
restaurant 10.5
seat 10.4
technology 10.4
glass 10.1
water 10
outdoor 9.9
chairs 9.8
production 9.7
new 9.7
heavy 9.5
machine 9.3
life 9.2
environment 9
tables 8.9
pipes 8.9
waste 8.7
station 8.7
stage 8.7
pollution 8.6
male 8.5
cornet 8.3
hall 8.3
working 7.9
furniture 7.8
sunny 7.7
travel 7.7
sitting 7.7
summer 7.7
tube 7.7
gas 7.7
cafeteria 7.7
worker 7.6
energy 7.6
office 7.4
design 7.3
black 7.2
tower 7.2

Google

Microsoft

building 99.8
furniture 98.2
chair 97.4
clothing 97.2
table 96.2
outdoor 95.1
person 89.6
man 80.6
black 65.8
footwear 63.2
woman 57.3
old 53

Face analysis

Amazon

AWS Rekognition

Age 29-45
Gender Male, 54%
Calm 45.6%
Disgusted 45.9%
Confused 45.3%
Angry 46.5%
Happy 45.2%
Sad 51.3%
Surprised 45.2%

AWS Rekognition

Age 27-44
Gender Male, 53.6%
Confused 45.2%
Angry 46.8%
Happy 45.1%
Sad 50.3%
Disgusted 45.3%
Surprised 45.1%
Calm 47.2%

AWS Rekognition

Age 6-13
Gender Male, 52%
Disgusted 45.1%
Confused 45.4%
Happy 45.2%
Calm 50.2%
Surprised 45.2%
Sad 48.4%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 52%
Calm 46.4%
Surprised 45.7%
Disgusted 48.3%
Confused 45.4%
Sad 45.8%
Happy 46.3%
Angry 47.1%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 50.3%
Happy 49.6%
Calm 49.6%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Male, 53.2%
Disgusted 53%
Sad 45.3%
Calm 45.3%
Happy 45.4%
Confused 45.3%
Surprised 45.3%
Angry 45.4%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 49.5%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Happy 49.6%
Angry 49.7%
Sad 50%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Happy 47.9%
Disgusted 45.4%
Confused 45.2%
Angry 45.5%
Surprised 45.8%
Sad 48.4%
Calm 46.8%

AWS Rekognition

Age 12-22
Gender Male, 50.4%
Confused 49.5%
Calm 49.8%
Angry 49.6%
Sad 49.8%
Happy 49.5%
Disgusted 49.7%
Surprised 49.6%

Feature analysis

Amazon

Person 99.8%
Chair 95.6%
Shoe 85.3%
Bench 80%

Captions

Microsoft

a group of people standing in front of a building 93.5%
a group of people in front of a building 93.4%
a group of people standing in front of a white building 88.8%

Text analysis

Amazon

HEHHEH
ITHHEHHL
HLHLILE

Google

ESZ
200
ESZ 200