Human Generated Data

Title

Charity, Convalescents: Germany. Berlin. Verein vom Roten Kreuz: Erholungsstätten: Accident Stations of the Red Cross Society, Berlin, Germany: Surgical Course of Instruction in the Accident Station.
Date

c. 1900
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.297

Human Generated Data

Title

Charity, Convalescents: Germany. Berlin. Verein vom Roten Kreuz: Erholungsstätten: Accident Stations of the Red Cross Society, Berlin, Germany: Surgical Course of Instruction in the Accident Station.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.297

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Person 99.7
Human 99.7
Person 99.6
Person 99.4
Person 99.1
Person 99
Person 98.8
Clinic 98.3
Hospital 98
Operating Theatre 96.8
Chair 74.1
Furniture 74.1
Bed 69
Nurse 57.7
Person 54.8

Imagga
created on 2022-06-04

patient 83.3
hairdresser 59.9
person 55.3
barbershop 45
case 44.7
sick person 44.6
shop 37.9
man 35.6
people 31.8
hospital 29.2
male 29.1
medical 28.3
mercantile establishment 27
indoors 25.5
adult 25.4
senior 23.5
health 22.9
nurse 22.1
doctor 21.6
room 20.2
home 20
place of business 18
sitting 17.2
illness 17.2
bed 16.1
clinic 16.1
smiling 15.9
medicine 15.9
couple 15.7
occupation 15.6
professional 15.5
men 15.5
women 15
care 14.8
chair 14.7
sick 14.5
color 13.9
two people 13.6
talking 13.3
mature 13
office 12.9
table 12.1
inside 12
happy 11.9
lifestyle 11.6
job 11.5
elderly 11.5
pain 11.5
work 11
indoor 11
40s 10.7
to 10.6
cheerful 10.6
together 10.5
uniform 10.5
treatment 10.1
face 10
caring 9.8
old 9.8
portrait 9.7
retired 9.7
30s 9.6
looking 9.6
exam 9.6
loving 9.5
coat 9.2
establishment 9
surgeon 8.9
family 8.9
worker 8.9
70s 8.9
interior 8.9
working 8.8
businessman 8.8
surgery 8.8
disease 8.7
check 8.7
resting 8.6
smile 8.6
adults 8.5
two 8.5
holding 8.3
20s 8.2
computer 8
unwell 7.9
love 7.9
day 7.8
50s 7.8
casual clothing 7.8
discussion 7.8
middle aged 7.8
affectionate 7.7
angle 7.7
retirement 7.7
horizontal 7.5
phone 7.4
lady 7.3
business 7.3
aged 7.2
happiness 7.1

Google
created on 2022-06-04

Health care provider 89.6
Health care 85.6
Nurse 83.5
Medical 81.9
Hat 79.1
Medical assistant 77.2
Service 75.8
Medical procedure 75.3
Event 71.8
Patient 69.9
Vintage clothing 69.3
Hospital 67.9
Nurse uniform 64.4
Room 64.2
History 60.9
Nursing 60.7
Medical equipment 59.1
Scrubs 56.4
Cooking 54.8

Microsoft
created on 2022-06-04

person 99.9
text 98.1
clothing 95.6
indoor 93.6
human face 86.6
smile 77.4
old 63
group 59.7
man 53.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 23-33
Gender Male, 99.9%
Calm 98.3%
Surprised 6.3%
Fear 5.9%
Sad 2.6%
Confused 0.1%
Disgusted 0.1%
Angry 0.1%
Happy 0%

AWS Rekognition

Age 33-41
Gender Male, 100%
Calm 98.2%
Surprised 6.4%
Fear 5.9%
Sad 2.4%
Confused 0.3%
Disgusted 0.2%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 27-37
Gender Female, 99.9%
Sad 99.6%
Calm 33.5%
Surprised 6.3%
Fear 5.9%
Confused 0.5%
Angry 0.5%
Happy 0.3%
Disgusted 0.2%

AWS Rekognition

Age 24-34
Gender Female, 100%
Surprised 54.8%
Sad 28.4%
Calm 27.7%
Fear 12.4%
Disgusted 2.8%
Confused 1.4%
Angry 1.3%
Happy 0.5%

AWS Rekognition

Age 23-33
Gender Female, 100%
Sad 93.5%
Calm 50.1%
Surprised 6.5%
Fear 6%
Confused 1.5%
Angry 1%
Disgusted 0.7%
Happy 0.4%

AWS Rekognition

Age 33-41
Gender Male, 99.6%
Calm 78.4%
Happy 18.9%
Surprised 6.6%
Fear 6%
Sad 2.2%
Disgusted 0.7%
Angry 0.4%
Confused 0.4%

AWS Rekognition

Age 16-24
Gender Female, 96.9%
Calm 97.6%
Surprised 6.3%
Fear 5.9%
Sad 2.7%
Angry 0.2%
Disgusted 0.1%
Confused 0.1%
Happy 0.1%

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 43
Gender Male

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 99.7%
Chair 74.1%
Bed 69%

Categories

Imagga

people portraits 99%

Text analysis

Amazon

of
the
Accident
Course
Surgical
Instruction
in
Surgical Course of Instruction in the Accident Station
Station

Google

Surgical Course of Instruction in the Accident Station. Kertyne
Surgical
Course
of
Instruction
in
the
Accident
Station
.
Kertyne