Human Generated Data

Title

War: Germany. Berlin. Prussian Guard Regiment: Life in a Regiment of the Prussian Guard: "Casino" of the non-commissioned officers.

Date

c. 1903

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Classification

Photographs

Human Generated Data

Title

War: Germany. Berlin. Prussian Guard Regiment: Life in a Regiment of the Prussian Guard: "Casino" of the non-commissioned officers.

People

Artist: Waldemar Franz Herman Titzenthaler, German 1869 - 1937

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Chair 97.6
Furniture 97.6
Human 96
Person 96
Indoors 91.6
Room 91.6
Classroom 91
School 91
Person 89.1
Person 82.4
Person 78.5
Person 76.6
Person 72.4
Person 69.7
Person 69.7
Pottery 63
Person 58.8
Person 45.7

Clarifai

people 99.9
furniture 98.2
adult 98
many 97.9
group 97.9
group together 97
man 95.7
room 95.7
woman 95.6
chair 93.2
indoors 92.2
sit 91.8
dining room 91.4
several 91
leader 90.7
war 90.6
table 90.5
administration 90
military 89.3
seat 83.5

Imagga

room 67
interior 64.6
table 45.6
hall 40.7
furniture 39.5
chair 39.4
banquet 33.8
decor 32.7
home 31.9
house 31.7
restaurant 26.7
luxury 26.6
design 25.3
modern 25.2
wood 24.2
dining 22.8
classroom 22.4
glass 21
lamp 20.2
dinner 19.5
floor 19.5
window 19.2
hotel 19.1
indoors 18.4
inside 18.4
residential 17.2
style 17.1
indoor 16.4
kitchen 16.3
elegant 16.3
comfortable 16.2
chairs 15.7
architecture 15.6
empty 15.5
drink 15
chandelier 14.7
light 14.7
food 14.6
decoration 14.5
sofa 14.4
seat 14.3
wall 13.7
relax 13.5
elegance 13.4
apartment 13.4
party 12.9
tables 12.8
counter 12.8
living 12.3
wooden 12.3
wedding 12
bedroom 11.3
contemporary 11.3
tile 10.9
stool 10.9
meal 10.7
decorate 10.5
plant 10.4
domestic 10.2
service 10.2
eat 10.1
relaxation 10
flower 10
cabinets 9.9
stove 9.8
reception 9.8
setting 9.6
celebration 9.6
lunch 9.5
3d 9.3
archive 9
tableware 8.8
vase 8.8
tablecloth 8.8
serve 8.8
residence 8.8
pillow 8.7
couch 8.7
nobody 8.5
wine 8.4
place 8.4
drawer 7.9
business 7.9
lighting fixture 7.8
fixture 7.8
catering 7.8
space 7.8
panel 7.7
comfort 7.7
expensive 7.7
fork 7.7
formal 7.6
life 7.5
classic 7.4
bar 7.4
stylish 7.2
lifestyle 7.2
romance 7.1
day 7.1
cabinet 7

Google

Room 85.9
Table 80.6
Dining room 65.1
Restaurant 64.4
Cafeteria 57.3
Furniture 56.7

Microsoft

wall 99.1
indoor 97.7
table 91.9
person 90.6
clothing 90.6
furniture 88
house 63.9
old 55
chair 50.1
several 13

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Male, 54.3%
Calm 45.4%
Confused 45.5%
Surprised 45.1%
Sad 51.4%
Happy 45.2%
Angry 46%
Disgusted 46.3%

AWS Rekognition

Age 38-57
Gender Female, 52.3%
Sad 52.9%
Disgusted 46.4%
Surprised 45.1%
Angry 45.3%
Happy 45.2%
Calm 45.1%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Sad 46.5%
Surprised 45.1%
Disgusted 45.3%
Calm 52.4%
Happy 45.1%
Confused 45.3%
Angry 45.4%

AWS Rekognition

Age 27-44
Gender Male, 53.3%
Surprised 45.2%
Sad 46.2%
Angry 45.3%
Disgusted 45.1%
Calm 53%
Happy 45.1%
Confused 45.2%

AWS Rekognition

Age 19-36
Gender Female, 52.8%
Sad 50.1%
Happy 46.6%
Surprised 45.3%
Disgusted 46.2%
Angry 46%
Calm 45.5%
Confused 45.3%

AWS Rekognition

Age 35-55
Gender Female, 50.3%
Sad 50.6%
Calm 45.7%
Disgusted 45.8%
Happy 46%
Confused 45.4%
Angry 46.1%
Surprised 45.5%

AWS Rekognition

Age 60-90
Gender Female, 54.8%
Disgusted 46%
Surprised 46.8%
Calm 48.6%
Angry 45.9%
Happy 46%
Sad 46.1%
Confused 45.6%

AWS Rekognition

Age 38-59
Gender Female, 50%
Sad 49.8%
Angry 49.5%
Calm 50%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 53.9%
Surprised 46.4%
Confused 45.8%
Sad 47.1%
Calm 48.4%
Disgusted 45.6%
Happy 45.7%
Angry 46%

AWS Rekognition

Age 35-53
Gender Female, 50.2%
Sad 50%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.8%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.2%

AWS Rekognition

Age 26-43
Gender Male, 51.1%
Surprised 45.2%
Happy 47.7%
Confused 45.3%
Calm 45.4%
Disgusted 45.1%
Angry 45.2%
Sad 51%

AWS Rekognition

Age 29-45
Gender Female, 50.1%
Disgusted 49.6%
Calm 49.9%
Confused 49.6%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Surprised 46.1%
Confused 46.1%
Sad 46.5%
Calm 50.9%
Happy 45.1%
Disgusted 45.1%
Angry 45.3%

AWS Rekognition

Age 45-65
Gender Male, 51.9%
Happy 45.1%
Surprised 45.2%
Angry 45.3%
Sad 45.3%
Confused 45.2%
Calm 53.6%
Disgusted 45.3%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Disgusted 50.2%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Sad 49.7%
Angry 49.5%

AWS Rekognition

Age 45-66
Gender Male, 50.3%
Surprised 49.5%
Disgusted 50.1%
Confused 49.5%
Sad 49.6%
Calm 49.7%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Happy 49.5%
Confused 49.6%
Calm 49.8%
Surprised 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Calm 49.7%
Surprised 49.6%
Disgusted 49.7%
Confused 49.5%
Sad 49.6%
Happy 49.8%
Angry 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Happy 49.5%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%
Sad 49.8%
Angry 49.6%
Calm 49.9%

Feature analysis

Amazon

Chair 97.6%
Person 96%

Captions

Microsoft

a vintage photo of a group of people in a room 91.9%
a vintage photo of a group of people sitting at a table 77.3%
a vintage photo of a group of people sitting around a table 77.2%

Text analysis

Amazon

1898
6.