Human Generated Data

Title

Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.: "Part 2. of panoramic view."

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.: "Part 2. of panoramic view."

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.2
Person 99.2
Indoors 98.9
Classroom 98.9
Room 98.9
School 98.9
Person 98.8
Person 98.5
Person 98.5
Person 98.4
Person 98.4
Person 97.2
Person 97.2
Person 95
Person 84.5
Person 79.3
Building 78.2
Factory 76.7
Cafeteria 68.8
Restaurant 68.8
Person 66.5
Person 66.2
Person 65.8
Person 49.2

Clarifai

people 99.9
many 99.5
group 98.3
group together 97.7
adult 96.5
man 94.1
administration 92.1
woman 89.4
furniture 88.2
crowd 88.2
war 87.7
room 86.2
military 86.2
indoors 86.2
child 83.3
leader 82.3
wear 80.7
education 80.6
sit 73.6
employee 72.5

Imagga

dairy 33
hall 27.3
building 27
room 21
classroom 20.5
architecture 18
city 17.4
travel 16.9
structure 14.4
old 13.9
landscape 13.4
prison 13.2
tourism 13.2
water 12.7
sky 12.1
wall 12
restaurant 11.7
group 11.3
people 11.2
cafeteria 11
house 10.9
life 10.7
correctional institution 10.6
interior 10.6
crowd 10.6
chair 10.5
urban 10.5
bird 10.2
scene 9.5
table 9.5
walking 9.5
lake 9.1
park 9.1
man 8.7
day 8.6
column 8.3
vacation 8.2
history 8
penal institution 8
summer 7.7
culture 7.7
traditional 7.5
outdoors 7.5
town 7.4
historic 7.3
tourist 7.2
river 7.1
male 7.1

Google

Photograph 95.8
Snapshot 84.1
Class 80.3
Room 65.7
History 54.1
State school 53.2
Team 52.3
Building 50.8
Crowd 50.7

Microsoft

person 95.9
indoor 92.5
clothing 90.4
table 87.9
man 74.5
group 66.2
old 65.8
school 56.8
clothes 16.2

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 48-68
Gender Male, 54%
Disgusted 45.8%
Surprised 45.5%
Confused 45.2%
Sad 45.3%
Happy 47.1%
Calm 50.1%
Angry 46.1%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Sad 45.8%
Confused 45.4%
Disgusted 45.1%
Calm 51.1%
Happy 45.1%
Angry 47.3%
Surprised 45.3%

AWS Rekognition

Age 38-57
Gender Male, 54.9%
Sad 45.3%
Calm 45.8%
Angry 53.6%
Disgusted 45%
Confused 45.2%
Surprised 45.1%
Happy 45%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Surprised 45.3%
Calm 48.5%
Sad 47.4%
Happy 45%
Confused 46%
Angry 47.6%
Disgusted 45.1%

AWS Rekognition

Age 38-59
Gender Male, 54.9%
Calm 47.2%
Disgusted 45.4%
Angry 46%
Sad 50.4%
Surprised 45.2%
Confused 45.6%
Happy 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Calm 46.2%
Disgusted 45.4%
Angry 45.5%
Sad 51.3%
Surprised 45.8%
Confused 45.5%
Happy 45.2%

AWS Rekognition

Age 60-90
Gender Male, 53.1%
Angry 45.5%
Happy 47.1%
Disgusted 45.6%
Sad 46%
Confused 45.4%
Surprised 45.5%
Calm 50%

AWS Rekognition

Age 48-68
Gender Male, 54.9%
Happy 45.2%
Surprised 45.3%
Confused 45.9%
Angry 47%
Sad 47%
Disgusted 45.3%
Calm 49.3%

AWS Rekognition

Age 38-57
Gender Male, 53.9%
Happy 45.6%
Surprised 46%
Sad 45.4%
Confused 45.2%
Disgusted 45.1%
Calm 52.2%
Angry 45.3%

AWS Rekognition

Age 38-59
Gender Male, 54.4%
Sad 54.6%
Confused 45%
Disgusted 45%
Angry 45.2%
Happy 45.1%
Surprised 45%
Calm 45.1%

AWS Rekognition

Age 27-44
Gender Male, 51.9%
Sad 49.2%
Angry 48.1%
Happy 45.1%
Disgusted 45.3%
Calm 46.6%
Surprised 45.4%
Confused 45.3%

AWS Rekognition

Age 57-77
Gender Male, 53.1%
Angry 49.2%
Calm 48.4%
Happy 45.2%
Sad 46.1%
Disgusted 45.4%
Surprised 45.4%
Confused 45.3%

AWS Rekognition

Age 45-66
Gender Female, 50.2%
Sad 49.6%
Confused 49.5%
Calm 49.5%
Angry 50.1%
Disgusted 49.7%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.4%
Happy 49.5%
Angry 50.1%
Calm 49.7%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 49-69
Gender Male, 50%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Sad 49.8%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Sad 50.3%
Happy 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Calm 49.8%
Disgusted 49.5%
Sad 49.9%
Happy 49.7%
Surprised 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Angry 49.6%
Sad 50.2%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 50.3%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Confused 49.5%
Sad 50.1%
Disgusted 49.5%
Calm 49.6%
Happy 49.6%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 50.4%
Sad 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Angry 49.8%
Calm 49.8%
Happy 49.6%
Sad 49.7%
Disgusted 49.5%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 6-13
Gender Male, 50.5%
Sad 49.6%
Confused 49.5%
Calm 49.5%
Angry 49.6%
Disgusted 50.3%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Surprised 49.5%
Disgusted 49.5%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Male, 50.4%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Disgusted 50.3%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50%
Calm 49.7%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.9%
Happy 49.7%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Disgusted 49.5%
Calm 49.6%
Confused 49.8%
Sad 49.8%
Angry 49.7%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.6%
Calm 49.7%
Confused 49.7%
Sad 49.6%
Angry 49.8%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.5%
Surprised 49.5%
Sad 50.4%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Confused 49.5%
Sad 49.6%
Happy 49.6%
Disgusted 49.9%
Surprised 49.6%
Angry 49.7%
Calm 49.6%

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Feature analysis

Amazon

Person 99.2%

Captions

Microsoft

a group of people in a room 89.6%
a group of people standing in a room 85.7%
a group of people standing next to a window 66.2%

Text analysis

Google

B
B